diff options
82 files changed, 2476 insertions, 853 deletions
diff --git a/.eslintrc.js b/.eslintrc.js index 944cc869..f33aca09 100644 --- a/.eslintrc.js +++ b/.eslintrc.js @@ -50,13 +50,14 @@ module.exports = { globals: { //script.js gradioApp: "readonly", + executeCallbacks: "readonly", + onAfterUiUpdate: "readonly", + onOptionsChanged: "readonly", onUiLoaded: "readonly", onUiUpdate: "readonly", - onOptionsChanged: "readonly", uiCurrentTab: "writable", - uiElementIsVisible: "readonly", uiElementInSight: "readonly", - executeCallbacks: "readonly", + uiElementIsVisible: "readonly", //ui.js opts: "writable", all_gallery_buttons: "readonly", @@ -84,5 +85,7 @@ module.exports = { // imageviewer.js modalPrevImage: "readonly", modalNextImage: "readonly", + // token-counters.js + setupTokenCounters: "readonly", } }; diff --git a/.github/ISSUE_TEMPLATE/bug_report.yml b/.github/ISSUE_TEMPLATE/bug_report.yml index 3a8b9953..9cc16d01 100644 --- a/.github/ISSUE_TEMPLATE/bug_report.yml +++ b/.github/ISSUE_TEMPLATE/bug_report.yml @@ -43,8 +43,8 @@ body: - type: input id: commit attributes: - label: Commit where the problem happens - description: Which commit are you running ? (Do not write *Latest version/repo/commit*, as this means nothing and will have changed by the time we read your issue. Rather, copy the **Commit** link at the bottom of the UI, or from the cmd/terminal if you can't launch it.) + label: Version or Commit where the problem happens + description: "Which webui version or commit are you running ? (Do not write *Latest Version/repo/commit*, as this means nothing and will have changed by the time we read your issue. Rather, copy the **Version: v1.2.3** link at the bottom of the UI, or from the cmd/terminal if you can't launch it.)" validations: required: true - type: dropdown diff --git a/extensions-builtin/LDSR/scripts/ldsr_model.py b/extensions-builtin/LDSR/scripts/ldsr_model.py index c4da79f3..dbd6d331 100644 --- a/extensions-builtin/LDSR/scripts/ldsr_model.py +++ b/extensions-builtin/LDSR/scripts/ldsr_model.py @@ -1,12 +1,10 @@ import os -import sys -import traceback from basicsr.utils.download_util import load_file_from_url from modules.upscaler import Upscaler, UpscalerData from ldsr_model_arch import LDSR -from modules import shared, script_callbacks +from modules import shared, script_callbacks, errors import sd_hijack_autoencoder # noqa: F401 import sd_hijack_ddpm_v1 # noqa: F401 @@ -51,10 +49,8 @@ class UpscalerLDSR(Upscaler): try: return LDSR(model, yaml) - except Exception: - print("Error importing LDSR:", file=sys.stderr) - print(traceback.format_exc(), file=sys.stderr) + errors.report("Error importing LDSR", exc_info=True) return None def do_upscale(self, img, path): diff --git a/extensions-builtin/LDSR/sd_hijack_autoencoder.py b/extensions-builtin/LDSR/sd_hijack_autoencoder.py index 81c5101b..27a86e13 100644 --- a/extensions-builtin/LDSR/sd_hijack_autoencoder.py +++ b/extensions-builtin/LDSR/sd_hijack_autoencoder.py @@ -10,7 +10,7 @@ from contextlib import contextmanager from torch.optim.lr_scheduler import LambdaLR from ldm.modules.ema import LitEma -from taming.modules.vqvae.quantize import VectorQuantizer2 as VectorQuantizer +from vqvae_quantize import VectorQuantizer2 as VectorQuantizer from ldm.modules.diffusionmodules.model import Encoder, Decoder from ldm.util import instantiate_from_config diff --git a/extensions-builtin/LDSR/vqvae_quantize.py b/extensions-builtin/LDSR/vqvae_quantize.py new file mode 100644 index 00000000..dd14b8fd --- /dev/null +++ b/extensions-builtin/LDSR/vqvae_quantize.py @@ -0,0 +1,147 @@ +# Vendored from https://raw.githubusercontent.com/CompVis/taming-transformers/24268930bf1dce879235a7fddd0b2355b84d7ea6/taming/modules/vqvae/quantize.py, +# where the license is as follows: +# +# Copyright (c) 2020 Patrick Esser and Robin Rombach and Björn Ommer +# +# Permission is hereby granted, free of charge, to any person obtaining a copy +# of this software and associated documentation files (the "Software"), to deal +# in the Software without restriction, including without limitation the rights +# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +# copies of the Software, and to permit persons to whom the Software is +# furnished to do so, subject to the following conditions: +# +# The above copyright notice and this permission notice shall be included in all +# copies or substantial portions of the Software. +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF +# MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. +# IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, +# DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR +# OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE +# OR OTHER DEALINGS IN THE SOFTWARE./ + +import torch +import torch.nn as nn +import numpy as np +from einops import rearrange + + +class VectorQuantizer2(nn.Module): + """ + Improved version over VectorQuantizer, can be used as a drop-in replacement. Mostly + avoids costly matrix multiplications and allows for post-hoc remapping of indices. + """ + + # NOTE: due to a bug the beta term was applied to the wrong term. for + # backwards compatibility we use the buggy version by default, but you can + # specify legacy=False to fix it. + def __init__(self, n_e, e_dim, beta, remap=None, unknown_index="random", + sane_index_shape=False, legacy=True): + super().__init__() + self.n_e = n_e + self.e_dim = e_dim + self.beta = beta + self.legacy = legacy + + self.embedding = nn.Embedding(self.n_e, self.e_dim) + self.embedding.weight.data.uniform_(-1.0 / self.n_e, 1.0 / self.n_e) + + self.remap = remap + if self.remap is not None: + self.register_buffer("used", torch.tensor(np.load(self.remap))) + self.re_embed = self.used.shape[0] + self.unknown_index = unknown_index # "random" or "extra" or integer + if self.unknown_index == "extra": + self.unknown_index = self.re_embed + self.re_embed = self.re_embed + 1 + print(f"Remapping {self.n_e} indices to {self.re_embed} indices. " + f"Using {self.unknown_index} for unknown indices.") + else: + self.re_embed = n_e + + self.sane_index_shape = sane_index_shape + + def remap_to_used(self, inds): + ishape = inds.shape + assert len(ishape) > 1 + inds = inds.reshape(ishape[0], -1) + used = self.used.to(inds) + match = (inds[:, :, None] == used[None, None, ...]).long() + new = match.argmax(-1) + unknown = match.sum(2) < 1 + if self.unknown_index == "random": + new[unknown] = torch.randint(0, self.re_embed, size=new[unknown].shape).to(device=new.device) + else: + new[unknown] = self.unknown_index + return new.reshape(ishape) + + def unmap_to_all(self, inds): + ishape = inds.shape + assert len(ishape) > 1 + inds = inds.reshape(ishape[0], -1) + used = self.used.to(inds) + if self.re_embed > self.used.shape[0]: # extra token + inds[inds >= self.used.shape[0]] = 0 # simply set to zero + back = torch.gather(used[None, :][inds.shape[0] * [0], :], 1, inds) + return back.reshape(ishape) + + def forward(self, z, temp=None, rescale_logits=False, return_logits=False): + assert temp is None or temp == 1.0, "Only for interface compatible with Gumbel" + assert rescale_logits is False, "Only for interface compatible with Gumbel" + assert return_logits is False, "Only for interface compatible with Gumbel" + # reshape z -> (batch, height, width, channel) and flatten + z = rearrange(z, 'b c h w -> b h w c').contiguous() + z_flattened = z.view(-1, self.e_dim) + # distances from z to embeddings e_j (z - e)^2 = z^2 + e^2 - 2 e * z + + d = torch.sum(z_flattened ** 2, dim=1, keepdim=True) + \ + torch.sum(self.embedding.weight ** 2, dim=1) - 2 * \ + torch.einsum('bd,dn->bn', z_flattened, rearrange(self.embedding.weight, 'n d -> d n')) + + min_encoding_indices = torch.argmin(d, dim=1) + z_q = self.embedding(min_encoding_indices).view(z.shape) + perplexity = None + min_encodings = None + + # compute loss for embedding + if not self.legacy: + loss = self.beta * torch.mean((z_q.detach() - z) ** 2) + \ + torch.mean((z_q - z.detach()) ** 2) + else: + loss = torch.mean((z_q.detach() - z) ** 2) + self.beta * \ + torch.mean((z_q - z.detach()) ** 2) + + # preserve gradients + z_q = z + (z_q - z).detach() + + # reshape back to match original input shape + z_q = rearrange(z_q, 'b h w c -> b c h w').contiguous() + + if self.remap is not None: + min_encoding_indices = min_encoding_indices.reshape(z.shape[0], -1) # add batch axis + min_encoding_indices = self.remap_to_used(min_encoding_indices) + min_encoding_indices = min_encoding_indices.reshape(-1, 1) # flatten + + if self.sane_index_shape: + min_encoding_indices = min_encoding_indices.reshape( + z_q.shape[0], z_q.shape[2], z_q.shape[3]) + + return z_q, loss, (perplexity, min_encodings, min_encoding_indices) + + def get_codebook_entry(self, indices, shape): + # shape specifying (batch, height, width, channel) + if self.remap is not None: + indices = indices.reshape(shape[0], -1) # add batch axis + indices = self.unmap_to_all(indices) + indices = indices.reshape(-1) # flatten again + + # get quantized latent vectors + z_q = self.embedding(indices) + + if shape is not None: + z_q = z_q.view(shape) + # reshape back to match original input shape + z_q = z_q.permute(0, 3, 1, 2).contiguous() + + return z_q diff --git a/extensions-builtin/Lora/ui_extra_networks_lora.py b/extensions-builtin/Lora/ui_extra_networks_lora.py index 259e99ac..da49790b 100644 --- a/extensions-builtin/Lora/ui_extra_networks_lora.py +++ b/extensions-builtin/Lora/ui_extra_networks_lora.py @@ -13,7 +13,7 @@ class ExtraNetworksPageLora(ui_extra_networks.ExtraNetworksPage): lora.list_available_loras()
def list_items(self):
- for name, lora_on_disk in lora.available_loras.items():
+ for index, (name, lora_on_disk) in enumerate(lora.available_loras.items()):
path, ext = os.path.splitext(lora_on_disk.filename)
alias = lora_on_disk.get_alias()
@@ -27,6 +27,8 @@ class ExtraNetworksPageLora(ui_extra_networks.ExtraNetworksPage): "prompt": json.dumps(f"<lora:{alias}:") + " + opts.extra_networks_default_multiplier + " + json.dumps(">"),
"local_preview": f"{path}.{shared.opts.samples_format}",
"metadata": json.dumps(lora_on_disk.metadata, indent=4) if lora_on_disk.metadata else None,
+ "sort_keys": {'default': index, **self.get_sort_keys(lora_on_disk.filename)},
+
}
def allowed_directories_for_previews(self):
diff --git a/extensions-builtin/ScuNET/scripts/scunet_model.py b/extensions-builtin/ScuNET/scripts/scunet_model.py index 45d9297b..85b4505f 100644 --- a/extensions-builtin/ScuNET/scripts/scunet_model.py +++ b/extensions-builtin/ScuNET/scripts/scunet_model.py @@ -1,6 +1,5 @@ import os.path import sys -import traceback import PIL.Image import numpy as np @@ -10,8 +9,9 @@ from tqdm import tqdm from basicsr.utils.download_util import load_file_from_url import modules.upscaler -from modules import devices, modelloader, script_callbacks +from modules import devices, modelloader, script_callbacks, errors from scunet_model_arch import SCUNet as net + from modules.shared import opts @@ -38,8 +38,7 @@ class UpscalerScuNET(modules.upscaler.Upscaler): scaler_data = modules.upscaler.UpscalerData(name, file, self, 4) scalers.append(scaler_data) except Exception: - print(f"Error loading ScuNET model: {file}", file=sys.stderr) - print(traceback.format_exc(), file=sys.stderr) + errors.report(f"Error loading ScuNET model: {file}", exc_info=True) if add_model2: scaler_data2 = modules.upscaler.UpscalerData(self.model_name2, self.model_url2, self) scalers.append(scaler_data2) diff --git a/extensions-builtin/canvas-zoom-and-pan/javascript/zoom.js b/extensions-builtin/canvas-zoom-and-pan/javascript/zoom.js new file mode 100644 index 00000000..41d9ddf4 --- /dev/null +++ b/extensions-builtin/canvas-zoom-and-pan/javascript/zoom.js @@ -0,0 +1,564 @@ +// Main + +// Helper functions +// Get active tab +function getActiveTab(elements, all = false) { + const tabs = elements.img2imgTabs.querySelectorAll("button"); + + if (all) return tabs; + + for (let tab of tabs) { + if (tab.classList.contains("selected")) { + return tab; + } + } +} + +// Wait until opts loaded +async function waitForOpts() { + return new Promise(resolve => { + const checkInterval = setInterval(() => { + if (window.opts && Object.keys(window.opts).length !== 0) { + clearInterval(checkInterval); + resolve(window.opts); + } + }, 100); + }); +} + +// Check is hotkey valid +function isSingleLetter(value) { + return ( + typeof value === "string" && value.length === 1 && /[a-z]/i.test(value) + ); +} + +// Create hotkeyConfig from opts +function createHotkeyConfig(defaultHotkeysConfig, hotkeysConfigOpts) { + const result = {}; + const usedKeys = new Set(); + + for (const key in defaultHotkeysConfig) { + if (typeof hotkeysConfigOpts[key] === "boolean") { + result[key] = hotkeysConfigOpts[key]; + continue; + } + if ( + hotkeysConfigOpts[key] && + isSingleLetter(hotkeysConfigOpts[key]) && + !usedKeys.has(hotkeysConfigOpts[key].toUpperCase()) + ) { + // If the property passed the test and has not yet been used, add 'Key' before it and save it + result[key] = "Key" + hotkeysConfigOpts[key].toUpperCase(); + usedKeys.add(hotkeysConfigOpts[key].toUpperCase()); + } else { + // If the property does not pass the test or has already been used, we keep the default value + console.error( + `Hotkey: ${hotkeysConfigOpts[key]} for ${key} is repeated and conflicts with another hotkey or is not 1 letter. The default hotkey is used: ${defaultHotkeysConfig[key][3]}` + ); + result[key] = defaultHotkeysConfig[key]; + } + } + + return result; +} + +// Main +onUiLoaded(async() => { + const hotkeysConfigOpts = await waitForOpts(); + + // Default config + const defaultHotkeysConfig = { + canvas_hotkey_reset: "KeyR", + canvas_hotkey_fullscreen: "KeyS", + canvas_hotkey_move: "KeyF", + canvas_hotkey_overlap: "KeyO", + canvas_show_tooltip: true, + canvas_swap_controls: false + }; + // swap the actions for ctr + wheel and shift + wheel + const hotkeysConfig = createHotkeyConfig( + defaultHotkeysConfig, + hotkeysConfigOpts + ); + + let isMoving = false; + let mouseX, mouseY; + + const elementIDs = { + sketch: "#img2img_sketch", + inpaint: "#img2maskimg", + inpaintSketch: "#inpaint_sketch", + img2imgTabs: "#mode_img2img .tab-nav" + }; + + async function getElements() { + const elements = await Promise.all( + Object.values(elementIDs).map(id => document.querySelector(id)) + ); + return Object.fromEntries( + Object.keys(elementIDs).map((key, index) => [key, elements[index]]) + ); + } + + const elements = await getElements(); + + function applyZoomAndPan(targetElement, elemId) { + targetElement.style.transformOrigin = "0 0"; + let [zoomLevel, panX, panY] = [1, 0, 0]; + let fullScreenMode = false; + + // Create tooltip + function createTooltip() { + const toolTipElemnt = + targetElement.querySelector(".image-container"); + const tooltip = document.createElement("div"); + tooltip.className = "tooltip"; + + // Creating an item of information + const info = document.createElement("i"); + info.className = "tooltip-info"; + info.textContent = ""; + + // Create a container for the contents of the tooltip + const tooltipContent = document.createElement("div"); + tooltipContent.className = "tooltip-content"; + + // Add info about hotkets + const zoomKey = hotkeysConfig.canvas_swap_controls ? "Ctrl" : "Shift"; + const adjustKey = hotkeysConfig.canvas_swap_controls ? "Shift" : "Ctrl"; + + const hotkeys = [ + {key: `${zoomKey} + wheel`, action: "Zoom canvas"}, + {key: `${adjustKey} + wheel`, action: "Adjust brush size"}, + { + key: hotkeysConfig.canvas_hotkey_reset.charAt( + hotkeysConfig.canvas_hotkey_reset.length - 1 + ), + action: "Reset zoom" + }, + { + key: hotkeysConfig.canvas_hotkey_fullscreen.charAt( + hotkeysConfig.canvas_hotkey_fullscreen.length - 1 + ), + action: "Fullscreen mode" + }, + { + key: hotkeysConfig.canvas_hotkey_move.charAt( + hotkeysConfig.canvas_hotkey_move.length - 1 + ), + action: "Move canvas" + } + ]; + hotkeys.forEach(function(hotkey) { + const p = document.createElement("p"); + p.innerHTML = + "<b>" + hotkey.key + "</b>" + " - " + hotkey.action; + tooltipContent.appendChild(p); + }); + + // Add information and content elements to the tooltip element + tooltip.appendChild(info); + tooltip.appendChild(tooltipContent); + + // Add a hint element to the target element + toolTipElemnt.appendChild(tooltip); + } + + //Show tool tip if setting enable + if (hotkeysConfig.canvas_show_tooltip) { + createTooltip(); + } + + // In the course of research, it was found that the tag img is very harmful when zooming and creates white canvases. This hack allows you to almost never think about this problem, it has no effect on webui. + function fixCanvas() { + const activeTab = getActiveTab(elements).textContent.trim(); + + if (activeTab !== "img2img") { + const img = targetElement.querySelector(`${elemId} img`); + + if (img && img.style.display !== "none") { + img.style.display = "none"; + img.style.visibility = "hidden"; + } + } + } + + // Reset the zoom level and pan position of the target element to their initial values + function resetZoom() { + zoomLevel = 1; + panX = 0; + panY = 0; + + fixCanvas(); + targetElement.style.transform = `scale(${zoomLevel}) translate(${panX}px, ${panY}px)`; + + const canvas = gradioApp().querySelector( + `${elemId} canvas[key="interface"]` + ); + + toggleOverlap("off"); + fullScreenMode = false; + + if ( + canvas && + parseFloat(canvas.style.width) > 865 && + parseFloat(targetElement.style.width) > 865 + ) { + fitToElement(); + return; + } + + targetElement.style.width = ""; + if (canvas) { + targetElement.style.height = canvas.style.height; + } + } + + // Toggle the zIndex of the target element between two values, allowing it to overlap or be overlapped by other elements + function toggleOverlap(forced = "") { + const zIndex1 = "0"; + const zIndex2 = "998"; + + targetElement.style.zIndex = + targetElement.style.zIndex !== zIndex2 ? zIndex2 : zIndex1; + + if (forced === "off") { + targetElement.style.zIndex = zIndex1; + } else if (forced === "on") { + targetElement.style.zIndex = zIndex2; + } + } + + // Adjust the brush size based on the deltaY value from a mouse wheel event + function adjustBrushSize( + elemId, + deltaY, + withoutValue = false, + percentage = 5 + ) { + const input = + gradioApp().querySelector( + `${elemId} input[aria-label='Brush radius']` + ) || + gradioApp().querySelector( + `${elemId} button[aria-label="Use brush"]` + ); + + if (input) { + input.click(); + if (!withoutValue) { + const maxValue = + parseFloat(input.getAttribute("max")) || 100; + const changeAmount = maxValue * (percentage / 100); + const newValue = + parseFloat(input.value) + + (deltaY > 0 ? -changeAmount : changeAmount); + input.value = Math.min(Math.max(newValue, 0), maxValue); + input.dispatchEvent(new Event("change")); + } + } + } + + // Reset zoom when uploading a new image + const fileInput = gradioApp().querySelector( + `${elemId} input[type="file"][accept="image/*"].svelte-116rqfv` + ); + fileInput.addEventListener("click", resetZoom); + + // Update the zoom level and pan position of the target element based on the values of the zoomLevel, panX and panY variables + function updateZoom(newZoomLevel, mouseX, mouseY) { + newZoomLevel = Math.max(0.5, Math.min(newZoomLevel, 15)); + panX += mouseX - (mouseX * newZoomLevel) / zoomLevel; + panY += mouseY - (mouseY * newZoomLevel) / zoomLevel; + + targetElement.style.transformOrigin = "0 0"; + targetElement.style.transform = `translate(${panX}px, ${panY}px) scale(${newZoomLevel})`; + + toggleOverlap("on"); + return newZoomLevel; + } + + // Change the zoom level based on user interaction + function changeZoomLevel(operation, e) { + if ( + (!hotkeysConfig.canvas_swap_controls && e.shiftKey) || + (hotkeysConfig.canvas_swap_controls && e.ctrlKey) + ) { + e.preventDefault(); + + let zoomPosX, zoomPosY; + let delta = 0.2; + if (zoomLevel > 7) { + delta = 0.9; + } else if (zoomLevel > 2) { + delta = 0.6; + } + + zoomPosX = e.clientX; + zoomPosY = e.clientY; + + fullScreenMode = false; + zoomLevel = updateZoom( + zoomLevel + (operation === "+" ? delta : -delta), + zoomPosX - targetElement.getBoundingClientRect().left, + zoomPosY - targetElement.getBoundingClientRect().top + ); + } + } + + /** + * This function fits the target element to the screen by calculating + * the required scale and offsets. It also updates the global variables + * zoomLevel, panX, and panY to reflect the new state. + */ + + function fitToElement() { + //Reset Zoom + targetElement.style.transform = `translate(${0}px, ${0}px) scale(${1})`; + + // Get element and screen dimensions + const elementWidth = targetElement.offsetWidth; + const elementHeight = targetElement.offsetHeight; + const parentElement = targetElement.parentElement; + const screenWidth = parentElement.clientWidth; + const screenHeight = parentElement.clientHeight; + + // Get element's coordinates relative to the parent element + const elementRect = targetElement.getBoundingClientRect(); + const parentRect = parentElement.getBoundingClientRect(); + const elementX = elementRect.x - parentRect.x; + + // Calculate scale and offsets + const scaleX = screenWidth / elementWidth; + const scaleY = screenHeight / elementHeight; + const scale = Math.min(scaleX, scaleY); + + const transformOrigin = + window.getComputedStyle(targetElement).transformOrigin; + const [originX, originY] = transformOrigin.split(" "); + const originXValue = parseFloat(originX); + const originYValue = parseFloat(originY); + + const offsetX = + (screenWidth - elementWidth * scale) / 2 - + originXValue * (1 - scale); + const offsetY = + (screenHeight - elementHeight * scale) / 2.5 - + originYValue * (1 - scale); + + // Apply scale and offsets to the element + targetElement.style.transform = `translate(${offsetX}px, ${offsetY}px) scale(${scale})`; + + // Update global variables + zoomLevel = scale; + panX = offsetX; + panY = offsetY; + + fullScreenMode = false; + toggleOverlap("off"); + } + + /** + * This function fits the target element to the screen by calculating + * the required scale and offsets. It also updates the global variables + * zoomLevel, panX, and panY to reflect the new state. + */ + + // Fullscreen mode + function fitToScreen() { + const canvas = gradioApp().querySelector( + `${elemId} canvas[key="interface"]` + ); + + if (!canvas) return; + + if (canvas.offsetWidth > 862) { + targetElement.style.width = canvas.offsetWidth + "px"; + } + + if (fullScreenMode) { + resetZoom(); + fullScreenMode = false; + return; + } + + //Reset Zoom + targetElement.style.transform = `translate(${0}px, ${0}px) scale(${1})`; + + // Get scrollbar width to right-align the image + const scrollbarWidth = + window.innerWidth - document.documentElement.clientWidth; + + // Get element and screen dimensions + const elementWidth = targetElement.offsetWidth; + const elementHeight = targetElement.offsetHeight; + const screenWidth = window.innerWidth - scrollbarWidth; + const screenHeight = window.innerHeight; + + // Get element's coordinates relative to the page + const elementRect = targetElement.getBoundingClientRect(); + const elementY = elementRect.y; + const elementX = elementRect.x; + + // Calculate scale and offsets + const scaleX = screenWidth / elementWidth; + const scaleY = screenHeight / elementHeight; + const scale = Math.min(scaleX, scaleY); + + // Get the current transformOrigin + const computedStyle = window.getComputedStyle(targetElement); + const transformOrigin = computedStyle.transformOrigin; + const [originX, originY] = transformOrigin.split(" "); + const originXValue = parseFloat(originX); + const originYValue = parseFloat(originY); + + // Calculate offsets with respect to the transformOrigin + const offsetX = + (screenWidth - elementWidth * scale) / 2 - + elementX - + originXValue * (1 - scale); + const offsetY = + (screenHeight - elementHeight * scale) / 2 - + elementY - + originYValue * (1 - scale); + + // Apply scale and offsets to the element + targetElement.style.transform = `translate(${offsetX}px, ${offsetY}px) scale(${scale})`; + + // Update global variables + zoomLevel = scale; + panX = offsetX; + panY = offsetY; + + fullScreenMode = true; + toggleOverlap("on"); + } + + // Handle keydown events + function handleKeyDown(event) { + const hotkeyActions = { + [hotkeysConfig.canvas_hotkey_reset]: resetZoom, + [hotkeysConfig.canvas_hotkey_overlap]: toggleOverlap, + [hotkeysConfig.canvas_hotkey_fullscreen]: fitToScreen + }; + + const action = hotkeyActions[event.code]; + if (action) { + event.preventDefault(); + action(event); + } + } + + // Get Mouse position + function getMousePosition(e) { + mouseX = e.offsetX; + mouseY = e.offsetY; + } + + targetElement.addEventListener("mousemove", getMousePosition); + + // Handle events only inside the targetElement + let isKeyDownHandlerAttached = false; + + function handleMouseMove() { + if (!isKeyDownHandlerAttached) { + document.addEventListener("keydown", handleKeyDown); + isKeyDownHandlerAttached = true; + } + } + + function handleMouseLeave() { + if (isKeyDownHandlerAttached) { + document.removeEventListener("keydown", handleKeyDown); + isKeyDownHandlerAttached = false; + } + } + + // Add mouse event handlers + targetElement.addEventListener("mousemove", handleMouseMove); + targetElement.addEventListener("mouseleave", handleMouseLeave); + + // Reset zoom when click on another tab + elements.img2imgTabs.addEventListener("click", resetZoom); + elements.img2imgTabs.addEventListener("click", () => { + // targetElement.style.width = ""; + if (parseInt(targetElement.style.width) > 865) { + setTimeout(fitToElement, 0); + } + }); + + targetElement.addEventListener("wheel", e => { + // change zoom level + const operation = e.deltaY > 0 ? "-" : "+"; + changeZoomLevel(operation, e); + + // Handle brush size adjustment with ctrl key pressed + if ( + (hotkeysConfig.canvas_swap_controls && e.shiftKey) || + (!hotkeysConfig.canvas_swap_controls && + (e.ctrlKey || e.metaKey)) + ) { + e.preventDefault(); + + // Increase or decrease brush size based on scroll direction + adjustBrushSize(elemId, e.deltaY); + } + }); + + // Handle the move event for pan functionality. Updates the panX and panY variables and applies the new transform to the target element. + function handleMoveKeyDown(e) { + if (e.code === hotkeysConfig.canvas_hotkey_move) { + if (!e.ctrlKey && !e.metaKey && isKeyDownHandlerAttached) { + e.preventDefault(); + document.activeElement.blur(); + isMoving = true; + } + } + } + + function handleMoveKeyUp(e) { + if (e.code === hotkeysConfig.canvas_hotkey_move) { + isMoving = false; + } + } + + document.addEventListener("keydown", handleMoveKeyDown); + document.addEventListener("keyup", handleMoveKeyUp); + + // Detect zoom level and update the pan speed. + function updatePanPosition(movementX, movementY) { + let panSpeed = 1.5; + + if (zoomLevel > 8) { + panSpeed = 2.5; + } + + panX = panX + movementX * panSpeed; + panY = panY + movementY * panSpeed; + + targetElement.style.transform = `translate(${panX}px, ${panY}px) scale(${zoomLevel})`; + toggleOverlap("on"); + } + + function handleMoveByKey(e) { + if (isMoving) { + updatePanPosition(e.movementX, e.movementY); + targetElement.style.pointerEvents = "none"; + } else { + targetElement.style.pointerEvents = "auto"; + } + } + + // Prevents sticking to the mouse + window.onblur = function() { + isMoving = false; + }; + + gradioApp().addEventListener("mousemove", handleMoveByKey); + } + + applyZoomAndPan(elements.sketch, elementIDs.sketch); + applyZoomAndPan(elements.inpaint, elementIDs.inpaint); + applyZoomAndPan(elements.inpaintSketch, elementIDs.inpaintSketch); +}); diff --git a/extensions-builtin/canvas-zoom-and-pan/scripts/hotkey_config.py b/extensions-builtin/canvas-zoom-and-pan/scripts/hotkey_config.py new file mode 100644 index 00000000..d83e14da --- /dev/null +++ b/extensions-builtin/canvas-zoom-and-pan/scripts/hotkey_config.py @@ -0,0 +1,10 @@ +from modules import shared + +shared.options_templates.update(shared.options_section(('canvas_hotkey', "Canvas Hotkeys"), { + "canvas_hotkey_move": shared.OptionInfo("F", "Moving the canvas"), + "canvas_hotkey_fullscreen": shared.OptionInfo("S", "Fullscreen Mode, maximizes the picture so that it fits into the screen and stretches it to its full width "), + "canvas_hotkey_reset": shared.OptionInfo("R", "Reset zoom and canvas positon"), + "canvas_hotkey_overlap": shared.OptionInfo("O", "Toggle overlap ( Technical button, neededs for testing )"), + "canvas_show_tooltip": shared.OptionInfo(True, "Enable tooltip on the canvas"), + "canvas_swap_controls": shared.OptionInfo(False, "Swap hotkey combinations for Zoom and Adjust brush resize"), +})) diff --git a/extensions-builtin/canvas-zoom-and-pan/style.css b/extensions-builtin/canvas-zoom-and-pan/style.css new file mode 100644 index 00000000..5b131d50 --- /dev/null +++ b/extensions-builtin/canvas-zoom-and-pan/style.css @@ -0,0 +1,63 @@ +.tooltip-info { + position: absolute; + top: 10px; + left: 10px; + cursor: help; + background-color: rgba(0, 0, 0, 0.3); + width: 20px; + height: 20px; + border-radius: 50%; + display: flex; + align-items: center; + justify-content: center; + flex-direction: column; + + z-index: 100; +} + +.tooltip-info::after { + content: ''; + display: block; + width: 2px; + height: 7px; + background-color: white; + margin-top: 2px; +} + +.tooltip-info::before { + content: ''; + display: block; + width: 2px; + height: 2px; + background-color: white; +} + +.tooltip-content { + display: none; + background-color: #f9f9f9; + color: #333; + border: 1px solid #ddd; + padding: 15px; + position: absolute; + top: 40px; + left: 10px; + width: 250px; + font-size: 16px; + opacity: 0; + border-radius: 8px; + box-shadow: 0px 8px 16px 0px rgba(0,0,0,0.2); + + z-index: 100; +} + +.tooltip:hover .tooltip-content { + display: block; + animation: fadeIn 0.5s; + opacity: 1; +} + +@keyframes fadeIn { + from {opacity: 0;} + to {opacity: 1;} +} + diff --git a/extensions-builtin/extra-options-section/scripts/extra_options_section.py b/extensions-builtin/extra-options-section/scripts/extra_options_section.py new file mode 100644 index 00000000..17f84184 --- /dev/null +++ b/extensions-builtin/extra-options-section/scripts/extra_options_section.py @@ -0,0 +1,48 @@ +import gradio as gr
+from modules import scripts, shared, ui_components, ui_settings
+from modules.ui_components import FormColumn
+
+
+class ExtraOptionsSection(scripts.Script):
+ section = "extra_options"
+
+ def __init__(self):
+ self.comps = None
+ self.setting_names = None
+
+ def title(self):
+ return "Extra options"
+
+ def show(self, is_img2img):
+ return scripts.AlwaysVisible
+
+ def ui(self, is_img2img):
+ self.comps = []
+ self.setting_names = []
+
+ with gr.Blocks() as interface:
+ with gr.Accordion("Options", open=False) if shared.opts.extra_options_accordion and len(shared.opts.extra_options) > 0 else gr.Group(), gr.Row():
+ for setting_name in shared.opts.extra_options:
+ with FormColumn():
+ comp = ui_settings.create_setting_component(setting_name)
+
+ self.comps.append(comp)
+ self.setting_names.append(setting_name)
+
+ def get_settings_values():
+ return [ui_settings.get_value_for_setting(key) for key in self.setting_names]
+
+ interface.load(fn=get_settings_values, inputs=[], outputs=self.comps, queue=False, show_progress=False)
+
+ return self.comps
+
+ def before_process(self, p, *args):
+ for name, value in zip(self.setting_names, args):
+ if name not in p.override_settings:
+ p.override_settings[name] = value
+
+
+shared.options_templates.update(shared.options_section(('ui', "User interface"), {
+ "extra_options": shared.OptionInfo([], "Options in main UI", ui_components.DropdownMulti, lambda: {"choices": list(shared.opts.data_labels.keys())}).js("info", "settingsHintsShowQuicksettings").info("setting entries that also appear in txt2img/img2img interfaces").needs_restart(),
+ "extra_options_accordion": shared.OptionInfo(False, "Place options in main UI into an accordion")
+}))
diff --git a/html/extra-networks-card.html b/html/extra-networks-card.html index 2b32e712..68a84c3a 100644 --- a/html/extra-networks-card.html +++ b/html/extra-networks-card.html @@ -1,4 +1,4 @@ -<div class='card' style={style} onclick={card_clicked}> +<div class='card' style={style} onclick={card_clicked} {sort_keys}> {background_image} {metadata_button} <div class='actions'> diff --git a/html/footer.html b/html/footer.html index bad87ff6..1ce13295 100644 --- a/html/footer.html +++ b/html/footer.html @@ -5,6 +5,8 @@ •
<a href="https://gradio.app">Gradio</a>
•
+ <a href="#" onclick="showProfile('./internal/profile-startup'); return false;">Startup profile</a>
+ •
<a href="/" onclick="javascript:gradioApp().getElementById('settings_restart_gradio').click(); return false">Reload UI</a>
</div>
<br />
diff --git a/javascript/aspectRatioOverlay.js b/javascript/aspectRatioOverlay.js index 1c08a1a9..2cf2d571 100644 --- a/javascript/aspectRatioOverlay.js +++ b/javascript/aspectRatioOverlay.js @@ -81,7 +81,7 @@ function dimensionChange(e, is_width, is_height) { } -onUiUpdate(function() { +onAfterUiUpdate(function() { var arPreviewRect = gradioApp().querySelector('#imageARPreview'); if (arPreviewRect) { arPreviewRect.style.display = 'none'; diff --git a/javascript/contextMenus.js b/javascript/contextMenus.js index f14af1d4..d60a10c4 100644 --- a/javascript/contextMenus.js +++ b/javascript/contextMenus.js @@ -167,6 +167,4 @@ var addContextMenuEventListener = initResponse[2]; })(); //End example Context Menu Items -onUiUpdate(function() { - addContextMenuEventListener(); -}); +onAfterUiUpdate(addContextMenuEventListener); diff --git a/javascript/dragdrop.js b/javascript/dragdrop.js index 77a24a07..5803daea 100644 --- a/javascript/dragdrop.js +++ b/javascript/dragdrop.js @@ -48,12 +48,27 @@ function dropReplaceImage(imgWrap, files) { } } +function eventHasFiles(e) { + if (!e.dataTransfer || !e.dataTransfer.files) return false; + if (e.dataTransfer.files.length > 0) return true; + if (e.dataTransfer.items.length > 0 && e.dataTransfer.items[0].kind == "file") return true; + + return false; +} + +function dragDropTargetIsPrompt(target) { + if (target?.placeholder && target?.placeholder.indexOf("Prompt") >= 0) return true; + if (target?.parentNode?.parentNode?.className?.indexOf("prompt") > 0) return true; + return false; +} + window.document.addEventListener('dragover', e => { const target = e.composedPath()[0]; - const imgWrap = target.closest('[data-testid="image"]'); - if (!imgWrap && target.placeholder && target.placeholder.indexOf("Prompt") == -1) { - return; - } + if (!eventHasFiles(e)) return; + + var targetImage = target.closest('[data-testid="image"]'); + if (!dragDropTargetIsPrompt(target) && !targetImage) return; + e.stopPropagation(); e.preventDefault(); e.dataTransfer.dropEffect = 'copy'; @@ -61,17 +76,31 @@ window.document.addEventListener('dragover', e => { window.document.addEventListener('drop', e => { const target = e.composedPath()[0]; - if (target.placeholder.indexOf("Prompt") == -1) { - return; + if (!eventHasFiles(e)) return; + + if (dragDropTargetIsPrompt(target)) { + e.stopPropagation(); + e.preventDefault(); + + let prompt_target = get_tab_index('tabs') == 1 ? "img2img_prompt_image" : "txt2img_prompt_image"; + + const imgParent = gradioApp().getElementById(prompt_target); + const files = e.dataTransfer.files; + const fileInput = imgParent.querySelector('input[type="file"]'); + if (fileInput) { + fileInput.files = files; + fileInput.dispatchEvent(new Event('change')); + } } - const imgWrap = target.closest('[data-testid="image"]'); - if (!imgWrap) { + + var targetImage = target.closest('[data-testid="image"]'); + if (targetImage) { + e.stopPropagation(); + e.preventDefault(); + const files = e.dataTransfer.files; + dropReplaceImage(targetImage, files); return; } - e.stopPropagation(); - e.preventDefault(); - const files = e.dataTransfer.files; - dropReplaceImage(imgWrap, files); }); window.addEventListener('paste', e => { diff --git a/javascript/extraNetworks.js b/javascript/extraNetworks.js index aafe0a00..b87bca3e 100644 --- a/javascript/extraNetworks.js +++ b/javascript/extraNetworks.js @@ -3,10 +3,17 @@ function setupExtraNetworksForTab(tabname) { var tabs = gradioApp().querySelector('#' + tabname + '_extra_tabs > div'); var search = gradioApp().querySelector('#' + tabname + '_extra_search textarea'); + var sort = gradioApp().getElementById(tabname + '_extra_sort'); + var sortOrder = gradioApp().getElementById(tabname + '_extra_sortorder'); var refresh = gradioApp().getElementById(tabname + '_extra_refresh'); search.classList.add('search'); + sort.classList.add('sort'); + sortOrder.classList.add('sortorder'); + sort.dataset.sortkey = 'sortDefault'; tabs.appendChild(search); + tabs.appendChild(sort); + tabs.appendChild(sortOrder); tabs.appendChild(refresh); var applyFilter = function() { @@ -26,8 +33,51 @@ function setupExtraNetworksForTab(tabname) { }); }; + var applySort = function() { + var reverse = sortOrder.classList.contains("sortReverse"); + var sortKey = sort.querySelector("input").value.toLowerCase().replace("sort", "").replaceAll(" ", "_").replace(/_+$/, "").trim(); + sortKey = sortKey ? "sort" + sortKey.charAt(0).toUpperCase() + sortKey.slice(1) : ""; + var sortKeyStore = sortKey ? sortKey + (reverse ? "Reverse" : "") : ""; + if (!sortKey || sortKeyStore == sort.dataset.sortkey) { + return; + } + + sort.dataset.sortkey = sortKeyStore; + + var cards = gradioApp().querySelectorAll('#' + tabname + '_extra_tabs div.card'); + cards.forEach(function(card) { + card.originalParentElement = card.parentElement; + }); + var sortedCards = Array.from(cards); + sortedCards.sort(function(cardA, cardB) { + var a = cardA.dataset[sortKey]; + var b = cardB.dataset[sortKey]; + if (!isNaN(a) && !isNaN(b)) { + return parseInt(a) - parseInt(b); + } + + return (a < b ? -1 : (a > b ? 1 : 0)); + }); + if (reverse) { + sortedCards.reverse(); + } + cards.forEach(function(card) { + card.remove(); + }); + sortedCards.forEach(function(card) { + card.originalParentElement.appendChild(card); + }); + }; + search.addEventListener("input", applyFilter); applyFilter(); + ["change", "blur", "click"].forEach(function(evt) { + sort.querySelector("input").addEventListener(evt, applySort); + }); + sortOrder.addEventListener("click", function() { + sortOrder.classList.toggle("sortReverse"); + applySort(); + }); extraNetworksApplyFilter[tabname] = applyFilter; } diff --git a/javascript/generationParams.js b/javascript/generationParams.js index a877f8a5..7c0fd221 100644 --- a/javascript/generationParams.js +++ b/javascript/generationParams.js @@ -1,7 +1,7 @@ // attaches listeners to the txt2img and img2img galleries to update displayed generation param text when the image changes let txt2img_gallery, img2img_gallery, modal = undefined; -onUiUpdate(function() { +onAfterUiUpdate(function() { if (!txt2img_gallery) { txt2img_gallery = attachGalleryListeners("txt2img"); } diff --git a/javascript/hints.js b/javascript/hints.js index 46f342cb..05ae5f22 100644 --- a/javascript/hints.js +++ b/javascript/hints.js @@ -116,17 +116,25 @@ var titles = { "Negative Guidance minimum sigma": "Skip negative prompt for steps where image is already mostly denoised; the higher this value, the more skips there will be; provides increased performance in exchange for minor quality reduction." }; -function updateTooltipForSpan(span) { - if (span.title) return; // already has a title +function updateTooltip(element) { + if (element.title) return; // already has a title - let tooltip = localization[titles[span.textContent]] || titles[span.textContent]; + let text = element.textContent; + let tooltip = localization[titles[text]] || titles[text]; if (!tooltip) { - tooltip = localization[titles[span.value]] || titles[span.value]; + let value = element.value; + if (value) tooltip = localization[titles[value]] || titles[value]; } if (!tooltip) { - for (const c of span.classList) { + // Gradio dropdown options have `data-value`. + let dataValue = element.dataset.value; + if (dataValue) tooltip = localization[titles[dataValue]] || titles[dataValue]; + } + + if (!tooltip) { + for (const c of element.classList) { if (c in titles) { tooltip = localization[titles[c]] || titles[c]; break; @@ -135,34 +143,53 @@ function updateTooltipForSpan(span) { } if (tooltip) { - span.title = tooltip; + element.title = tooltip; } } -function updateTooltipForSelect(select) { - if (select.onchange != null) return; +// Nodes to check for adding tooltips. +const tooltipCheckNodes = new Set(); +// Timer for debouncing tooltip check. +let tooltipCheckTimer = null; - select.onchange = function() { - select.title = localization[titles[select.value]] || titles[select.value] || ""; - }; +function processTooltipCheckNodes() { + for (const node of tooltipCheckNodes) { + updateTooltip(node); + } + tooltipCheckNodes.clear(); } -var observedTooltipElements = {SPAN: 1, BUTTON: 1, SELECT: 1, P: 1}; - -onUiUpdate(function(m) { - m.forEach(function(record) { - record.addedNodes.forEach(function(node) { - if (observedTooltipElements[node.tagName]) { - updateTooltipForSpan(node); - } - if (node.tagName == "SELECT") { - updateTooltipForSelect(node); +onUiUpdate(function(mutationRecords) { + for (const record of mutationRecords) { + if (record.type === "childList" && record.target.classList.contains("options")) { + // This smells like a Gradio dropdown menu having changed, + // so let's enqueue an update for the input element that shows the current value. + let wrap = record.target.parentNode; + let input = wrap?.querySelector("input"); + if (input) { + input.title = ""; // So we'll even have a chance to update it. + tooltipCheckNodes.add(input); } - - if (node.querySelectorAll) { - node.querySelectorAll('span, button, select, p').forEach(updateTooltipForSpan); - node.querySelectorAll('select').forEach(updateTooltipForSelect); + } + for (const node of record.addedNodes) { + if (node.nodeType === Node.ELEMENT_NODE && !node.classList.contains("hide")) { + if (!node.title) { + if ( + node.tagName === "SPAN" || + node.tagName === "BUTTON" || + node.tagName === "P" || + node.tagName === "INPUT" || + (node.tagName === "LI" && node.classList.contains("item")) // Gradio dropdown item + ) { + tooltipCheckNodes.add(node); + } + } + node.querySelectorAll('span, button, p').forEach(n => tooltipCheckNodes.add(n)); } - }); - }); + } + } + if (tooltipCheckNodes.size) { + clearTimeout(tooltipCheckTimer); + tooltipCheckTimer = setTimeout(processTooltipCheckNodes, 1000); + } }); diff --git a/javascript/imageMaskFix.js b/javascript/imageMaskFix.js index 3c9b8a6f..900c56f3 100644 --- a/javascript/imageMaskFix.js +++ b/javascript/imageMaskFix.js @@ -39,5 +39,5 @@ function imageMaskResize() { }); } -onUiUpdate(imageMaskResize); +onAfterUiUpdate(imageMaskResize); window.addEventListener('resize', imageMaskResize); diff --git a/javascript/imageParams.js b/javascript/imageParams.js deleted file mode 100644 index 057e2d39..00000000 --- a/javascript/imageParams.js +++ /dev/null @@ -1,18 +0,0 @@ -window.onload = (function() { - window.addEventListener('drop', e => { - const target = e.composedPath()[0]; - if (target.placeholder.indexOf("Prompt") == -1) return; - - let prompt_target = get_tab_index('tabs') == 1 ? "img2img_prompt_image" : "txt2img_prompt_image"; - - e.stopPropagation(); - e.preventDefault(); - const imgParent = gradioApp().getElementById(prompt_target); - const files = e.dataTransfer.files; - const fileInput = imgParent.querySelector('input[type="file"]'); - if (fileInput) { - fileInput.files = files; - fileInput.dispatchEvent(new Event('change')); - } - }); -}); diff --git a/javascript/imageviewer.js b/javascript/imageviewer.js index 78e24eb9..677e95c1 100644 --- a/javascript/imageviewer.js +++ b/javascript/imageviewer.js @@ -170,7 +170,7 @@ function modalTileImageToggle(event) { event.stopPropagation(); } -onUiUpdate(function() { +onAfterUiUpdate(function() { var fullImg_preview = gradioApp().querySelectorAll('.gradio-gallery > div > img'); if (fullImg_preview != null) { fullImg_preview.forEach(setupImageForLightbox); diff --git a/javascript/imageviewerGamepad.js b/javascript/imageviewerGamepad.js index 31d226de..a22c7e6e 100644 --- a/javascript/imageviewerGamepad.js +++ b/javascript/imageviewerGamepad.js @@ -1,7 +1,9 @@ +let gamepads = []; + window.addEventListener('gamepadconnected', (e) => { const index = e.gamepad.index; let isWaiting = false; - setInterval(async() => { + gamepads[index] = setInterval(async() => { if (!opts.js_modal_lightbox_gamepad || isWaiting) return; const gamepad = navigator.getGamepads()[index]; const xValue = gamepad.axes[0]; @@ -24,6 +26,10 @@ window.addEventListener('gamepadconnected', (e) => { }, 10); }); +window.addEventListener('gamepaddisconnected', (e) => { + clearInterval(gamepads[e.gamepad.index]); +}); + /* Primarily for vr controller type pointer devices. I use the wheel event because there's currently no way to do it properly with web xr. diff --git a/javascript/notification.js b/javascript/notification.js index a68a76f2..76c5715d 100644 --- a/javascript/notification.js +++ b/javascript/notification.js @@ -4,7 +4,7 @@ let lastHeadImg = null; let notificationButton = null; -onUiUpdate(function() { +onAfterUiUpdate(function() { if (notificationButton == null) { notificationButton = gradioApp().getElementById('request_notifications'); diff --git a/javascript/profilerVisualization.js b/javascript/profilerVisualization.js new file mode 100644 index 00000000..9d8e5f42 --- /dev/null +++ b/javascript/profilerVisualization.js @@ -0,0 +1,153 @@ + +function createRow(table, cellName, items) { + var tr = document.createElement('tr'); + var res = []; + + items.forEach(function(x, i) { + if (x === undefined) { + res.push(null); + return; + } + + var td = document.createElement(cellName); + td.textContent = x; + tr.appendChild(td); + res.push(td); + + var colspan = 1; + for (var n = i + 1; n < items.length; n++) { + if (items[n] !== undefined) { + break; + } + + colspan += 1; + } + + if (colspan > 1) { + td.colSpan = colspan; + } + }); + + table.appendChild(tr); + + return res; +} + +function showProfile(path, cutoff = 0.05) { + requestGet(path, {}, function(data) { + var table = document.createElement('table'); + table.className = 'popup-table'; + + data.records['total'] = data.total; + var keys = Object.keys(data.records).sort(function(a, b) { + return data.records[b] - data.records[a]; + }); + var items = keys.map(function(x) { + return {key: x, parts: x.split('/'), time: data.records[x]}; + }); + var maxLength = items.reduce(function(a, b) { + return Math.max(a, b.parts.length); + }, 0); + + var cols = createRow(table, 'th', ['record', 'seconds']); + cols[0].colSpan = maxLength; + + function arraysEqual(a, b) { + return !(a < b || b < a); + } + + var addLevel = function(level, parent, hide) { + var matching = items.filter(function(x) { + return x.parts[level] && !x.parts[level + 1] && arraysEqual(x.parts.slice(0, level), parent); + }); + var sorted = matching.sort(function(a, b) { + return b.time - a.time; + }); + var othersTime = 0; + var othersList = []; + var othersRows = []; + var childrenRows = []; + sorted.forEach(function(x) { + var visible = x.time >= cutoff && !hide; + + var cells = []; + for (var i = 0; i < maxLength; i++) { + cells.push(x.parts[i]); + } + cells.push(x.time.toFixed(3)); + var cols = createRow(table, 'td', cells); + for (i = 0; i < level; i++) { + cols[i].className = 'muted'; + } + + var tr = cols[0].parentNode; + if (!visible) { + tr.classList.add("hidden"); + } + + if (x.time >= cutoff) { + childrenRows.push(tr); + } else { + othersTime += x.time; + othersList.push(x.parts[level]); + othersRows.push(tr); + } + + var children = addLevel(level + 1, parent.concat([x.parts[level]]), true); + if (children.length > 0) { + var cell = cols[level]; + var onclick = function() { + cell.classList.remove("link"); + cell.removeEventListener("click", onclick); + children.forEach(function(x) { + x.classList.remove("hidden"); + }); + }; + cell.classList.add("link"); + cell.addEventListener("click", onclick); + } + }); + + if (othersTime > 0) { + var cells = []; + for (var i = 0; i < maxLength; i++) { + cells.push(parent[i]); + } + cells.push(othersTime.toFixed(3)); + cells[level] = 'others'; + var cols = createRow(table, 'td', cells); + for (i = 0; i < level; i++) { + cols[i].className = 'muted'; + } + + var cell = cols[level]; + var tr = cell.parentNode; + var onclick = function() { + tr.classList.add("hidden"); + cell.classList.remove("link"); + cell.removeEventListener("click", onclick); + othersRows.forEach(function(x) { + x.classList.remove("hidden"); + }); + }; + + cell.title = othersList.join(", "); + cell.classList.add("link"); + cell.addEventListener("click", onclick); + + if (hide) { + tr.classList.add("hidden"); + } + + childrenRows.push(tr); + } + + return childrenRows; + }; + + addLevel(0, []); + + popup(table); + }); +} + diff --git a/javascript/token-counters.js b/javascript/token-counters.js new file mode 100644 index 00000000..9d81a723 --- /dev/null +++ b/javascript/token-counters.js @@ -0,0 +1,83 @@ +let promptTokenCountDebounceTime = 800; +let promptTokenCountTimeouts = {}; +var promptTokenCountUpdateFunctions = {}; + +function update_txt2img_tokens(...args) { + // Called from Gradio + update_token_counter("txt2img_token_button"); + if (args.length == 2) { + return args[0]; + } + return args; +} + +function update_img2img_tokens(...args) { + // Called from Gradio + update_token_counter("img2img_token_button"); + if (args.length == 2) { + return args[0]; + } + return args; +} + +function update_token_counter(button_id) { + if (opts.disable_token_counters) { + return; + } + if (promptTokenCountTimeouts[button_id]) { + clearTimeout(promptTokenCountTimeouts[button_id]); + } + promptTokenCountTimeouts[button_id] = setTimeout( + () => gradioApp().getElementById(button_id)?.click(), + promptTokenCountDebounceTime, + ); +} + + +function recalculatePromptTokens(name) { + promptTokenCountUpdateFunctions[name]?.(); +} + +function recalculate_prompts_txt2img() { + // Called from Gradio + recalculatePromptTokens('txt2img_prompt'); + recalculatePromptTokens('txt2img_neg_prompt'); + return Array.from(arguments); +} + +function recalculate_prompts_img2img() { + // Called from Gradio + recalculatePromptTokens('img2img_prompt'); + recalculatePromptTokens('img2img_neg_prompt'); + return Array.from(arguments); +} + +function setupTokenCounting(id, id_counter, id_button) { + var prompt = gradioApp().getElementById(id); + var counter = gradioApp().getElementById(id_counter); + var textarea = gradioApp().querySelector(`#${id} > label > textarea`); + + if (opts.disable_token_counters) { + counter.style.display = "none"; + return; + } + + if (counter.parentElement == prompt.parentElement) { + return; + } + + prompt.parentElement.insertBefore(counter, prompt); + prompt.parentElement.style.position = "relative"; + + promptTokenCountUpdateFunctions[id] = function() { + update_token_counter(id_button); + }; + textarea.addEventListener("input", promptTokenCountUpdateFunctions[id]); +} + +function setupTokenCounters() { + setupTokenCounting('txt2img_prompt', 'txt2img_token_counter', 'txt2img_token_button'); + setupTokenCounting('txt2img_neg_prompt', 'txt2img_negative_token_counter', 'txt2img_negative_token_button'); + setupTokenCounting('img2img_prompt', 'img2img_token_counter', 'img2img_token_button'); + setupTokenCounting('img2img_neg_prompt', 'img2img_negative_token_counter', 'img2img_negative_token_button'); +} diff --git a/javascript/ui.js b/javascript/ui.js index 648a5290..d70a681b 100644 --- a/javascript/ui.js +++ b/javascript/ui.js @@ -248,29 +248,8 @@ function confirm_clear_prompt(prompt, negative_prompt) { } -var promptTokecountUpdateFuncs = {}; - -function recalculatePromptTokens(name) { - if (promptTokecountUpdateFuncs[name]) { - promptTokecountUpdateFuncs[name](); - } -} - -function recalculate_prompts_txt2img() { - recalculatePromptTokens('txt2img_prompt'); - recalculatePromptTokens('txt2img_neg_prompt'); - return Array.from(arguments); -} - -function recalculate_prompts_img2img() { - recalculatePromptTokens('img2img_prompt'); - recalculatePromptTokens('img2img_neg_prompt'); - return Array.from(arguments); -} - - var opts = {}; -onUiUpdate(function() { +onAfterUiUpdate(function() { if (Object.keys(opts).length != 0) return; var json_elem = gradioApp().getElementById('settings_json'); @@ -302,28 +281,7 @@ onUiUpdate(function() { json_elem.parentElement.style.display = "none"; - function registerTextarea(id, id_counter, id_button) { - var prompt = gradioApp().getElementById(id); - var counter = gradioApp().getElementById(id_counter); - var textarea = gradioApp().querySelector("#" + id + " > label > textarea"); - - if (counter.parentElement == prompt.parentElement) { - return; - } - - prompt.parentElement.insertBefore(counter, prompt); - prompt.parentElement.style.position = "relative"; - - promptTokecountUpdateFuncs[id] = function() { - update_token_counter(id_button); - }; - textarea.addEventListener("input", promptTokecountUpdateFuncs[id]); - } - - registerTextarea('txt2img_prompt', 'txt2img_token_counter', 'txt2img_token_button'); - registerTextarea('txt2img_neg_prompt', 'txt2img_negative_token_counter', 'txt2img_negative_token_button'); - registerTextarea('img2img_prompt', 'img2img_token_counter', 'img2img_token_button'); - registerTextarea('img2img_neg_prompt', 'img2img_negative_token_counter', 'img2img_negative_token_button'); + setupTokenCounters(); var show_all_pages = gradioApp().getElementById('settings_show_all_pages'); var settings_tabs = gradioApp().querySelector('#settings div'); @@ -354,33 +312,6 @@ onOptionsChanged(function() { }); let txt2img_textarea, img2img_textarea = undefined; -let wait_time = 800; -let token_timeouts = {}; - -function update_txt2img_tokens(...args) { - update_token_counter("txt2img_token_button"); - if (args.length == 2) { - return args[0]; - } - return args; -} - -function update_img2img_tokens(...args) { - update_token_counter( - "img2img_token_button" - ); - if (args.length == 2) { - return args[0]; - } - return args; -} - -function update_token_counter(button_id) { - if (token_timeouts[button_id]) { - clearTimeout(token_timeouts[button_id]); - } - token_timeouts[button_id] = setTimeout(() => gradioApp().getElementById(button_id)?.click(), wait_time); -} function restart_reload() { document.body.innerHTML = '<h1 style="font-family:monospace;margin-top:20%;color:lightgray;text-align:center;">Reloading...</h1>'; diff --git a/javascript/ui_settings_hints.js b/javascript/ui_settings_hints.js index e216852b..d088f949 100644 --- a/javascript/ui_settings_hints.js +++ b/javascript/ui_settings_hints.js @@ -42,7 +42,7 @@ onOptionsChanged(function() { function settingsHintsShowQuicksettings() { requestGet("./internal/quicksettings-hint", {}, function(data) { var table = document.createElement('table'); - table.className = 'settings-value-table'; + table.className = 'popup-table'; data.forEach(function(obj) { var tr = document.createElement('tr'); diff --git a/modules/api/api.py b/modules/api/api.py index eee99bbb..d34ab422 100644 --- a/modules/api/api.py +++ b/modules/api/api.py @@ -14,7 +14,7 @@ from fastapi.encoders import jsonable_encoder from secrets import compare_digest import modules.shared as shared -from modules import sd_samplers, deepbooru, sd_hijack, images, scripts, ui, postprocessing +from modules import sd_samplers, deepbooru, sd_hijack, images, scripts, ui, postprocessing, errors from modules.api import models from modules.shared import opts from modules.processing import StableDiffusionProcessingTxt2Img, StableDiffusionProcessingImg2Img, process_images @@ -23,6 +23,7 @@ from modules.textual_inversion.preprocess import preprocess from modules.hypernetworks.hypernetwork import create_hypernetwork, train_hypernetwork from PIL import PngImagePlugin,Image from modules.sd_models import checkpoints_list, unload_model_weights, reload_model_weights +from modules.sd_vae import vae_dict from modules.sd_models_config import find_checkpoint_config_near_filename from modules.realesrgan_model import get_realesrgan_models from modules import devices @@ -108,7 +109,6 @@ def api_middleware(app: FastAPI): from rich.console import Console console = Console() except Exception: - import traceback rich_available = False @app.middleware("http") @@ -139,11 +139,12 @@ def api_middleware(app: FastAPI): "errors": str(e), } if not isinstance(e, HTTPException): # do not print backtrace on known httpexceptions - print(f"API error: {request.method}: {request.url} {err}") + message = f"API error: {request.method}: {request.url} {err}" if rich_available: + print(message) console.print_exception(show_locals=True, max_frames=2, extra_lines=1, suppress=[anyio, starlette], word_wrap=False, width=min([console.width, 200])) else: - traceback.print_exc() + errors.report(message, exc_info=True) return JSONResponse(status_code=vars(e).get('status_code', 500), content=jsonable_encoder(err)) @app.middleware("http") @@ -189,6 +190,7 @@ class Api: self.add_api_route("/sdapi/v1/samplers", self.get_samplers, methods=["GET"], response_model=List[models.SamplerItem]) self.add_api_route("/sdapi/v1/upscalers", self.get_upscalers, methods=["GET"], response_model=List[models.UpscalerItem]) self.add_api_route("/sdapi/v1/sd-models", self.get_sd_models, methods=["GET"], response_model=List[models.SDModelItem]) + self.add_api_route("/sdapi/v1/sd-vae", self.get_sd_vaes, methods=["GET"], response_model=List[models.SDVaeItem]) self.add_api_route("/sdapi/v1/hypernetworks", self.get_hypernetworks, methods=["GET"], response_model=List[models.HypernetworkItem]) self.add_api_route("/sdapi/v1/face-restorers", self.get_face_restorers, methods=["GET"], response_model=List[models.FaceRestorerItem]) self.add_api_route("/sdapi/v1/realesrgan-models", self.get_realesrgan_models, methods=["GET"], response_model=List[models.RealesrganItem]) @@ -541,6 +543,9 @@ class Api: def get_sd_models(self): return [{"title": x.title, "model_name": x.model_name, "hash": x.shorthash, "sha256": x.sha256, "filename": x.filename, "config": find_checkpoint_config_near_filename(x)} for x in checkpoints_list.values()] + def get_sd_vaes(self): + return [{"model_name": x, "filename": vae_dict[x]} for x in vae_dict.keys()] + def get_hypernetworks(self): return [{"name": name, "path": shared.hypernetworks[name]} for name in shared.hypernetworks] @@ -700,4 +705,4 @@ class Api: def launch(self, server_name, port): self.app.include_router(self.router) - uvicorn.run(self.app, host=server_name, port=port) + uvicorn.run(self.app, host=server_name, port=port, timeout_keep_alive=0) diff --git a/modules/api/models.py b/modules/api/models.py index 1ff2fb33..47fdede2 100644 --- a/modules/api/models.py +++ b/modules/api/models.py @@ -249,6 +249,10 @@ class SDModelItem(BaseModel): filename: str = Field(title="Filename") config: Optional[str] = Field(title="Config file") +class SDVaeItem(BaseModel): + model_name: str = Field(title="Model Name") + filename: str = Field(title="Filename") + class HypernetworkItem(BaseModel): name: str = Field(title="Name") path: Optional[str] = Field(title="Path") diff --git a/modules/call_queue.py b/modules/call_queue.py index 447bb764..53af6d70 100644 --- a/modules/call_queue.py +++ b/modules/call_queue.py @@ -1,10 +1,8 @@ import html
-import sys
import threading
-import traceback
import time
-from modules import shared, progress
+from modules import shared, progress, errors
queue_lock = threading.Lock()
@@ -56,16 +54,14 @@ def wrap_gradio_call(func, extra_outputs=None, add_stats=False): try:
res = list(func(*args, **kwargs))
except Exception as e:
- # When printing out our debug argument list, do not print out more than a MB of text
- max_debug_str_len = 131072 # (1024*1024)/8
-
- print("Error completing request", file=sys.stderr)
- argStr = f"Arguments: {args} {kwargs}"
- print(argStr[:max_debug_str_len], file=sys.stderr)
- if len(argStr) > max_debug_str_len:
- print(f"(Argument list truncated at {max_debug_str_len}/{len(argStr)} characters)", file=sys.stderr)
-
- print(traceback.format_exc(), file=sys.stderr)
+ # When printing out our debug argument list,
+ # do not print out more than a 100 KB of text
+ max_debug_str_len = 131072
+ message = "Error completing request"
+ arg_str = f"Arguments: {args} {kwargs}"[:max_debug_str_len]
+ if len(arg_str) > max_debug_str_len:
+ arg_str += f" (Argument list truncated at {max_debug_str_len}/{len(arg_str)} characters)"
+ errors.report(f"{message}\n{arg_str}", exc_info=True)
shared.state.job = ""
shared.state.job_count = 0
@@ -108,4 +104,3 @@ def wrap_gradio_call(func, extra_outputs=None, add_stats=False): return tuple(res)
return f
-
diff --git a/modules/cmd_args.py b/modules/cmd_args.py index 71a21b1a..de905caa 100644 --- a/modules/cmd_args.py +++ b/modules/cmd_args.py @@ -11,7 +11,7 @@ parser.add_argument("--skip-python-version-check", action='store_true', help="la parser.add_argument("--skip-torch-cuda-test", action='store_true', help="launch.py argument: do not check if CUDA is able to work properly")
parser.add_argument("--reinstall-xformers", action='store_true', help="launch.py argument: install the appropriate version of xformers even if you have some version already installed")
parser.add_argument("--reinstall-torch", action='store_true', help="launch.py argument: install the appropriate version of torch even if you have some version already installed")
-parser.add_argument("--update-check", action='store_true', help="launch.py argument: chck for updates at startup")
+parser.add_argument("--update-check", action='store_true', help="launch.py argument: check for updates at startup")
parser.add_argument("--test-server", action='store_true', help="launch.py argument: configure server for testing")
parser.add_argument("--skip-prepare-environment", action='store_true', help="launch.py argument: skip all environment preparation")
parser.add_argument("--skip-install", action='store_true', help="launch.py argument: skip installation of packages")
diff --git a/modules/codeformer_model.py b/modules/codeformer_model.py index ececdbae..4260b016 100644 --- a/modules/codeformer_model.py +++ b/modules/codeformer_model.py @@ -1,13 +1,11 @@ import os
-import sys
-import traceback
import cv2
import torch
import modules.face_restoration
import modules.shared
-from modules import shared, devices, modelloader
+from modules import shared, devices, modelloader, errors
from modules.paths import models_path
# codeformer people made a choice to include modified basicsr library to their project which makes
@@ -105,8 +103,8 @@ def setup_model(dirname): restored_face = tensor2img(output, rgb2bgr=True, min_max=(-1, 1))
del output
torch.cuda.empty_cache()
- except Exception as error:
- print(f'\tFailed inference for CodeFormer: {error}', file=sys.stderr)
+ except Exception:
+ errors.report('Failed inference for CodeFormer', exc_info=True)
restored_face = tensor2img(cropped_face_t, rgb2bgr=True, min_max=(-1, 1))
restored_face = restored_face.astype('uint8')
@@ -135,7 +133,6 @@ def setup_model(dirname): shared.face_restorers.append(codeformer)
except Exception:
- print("Error setting up CodeFormer:", file=sys.stderr)
- print(traceback.format_exc(), file=sys.stderr)
+ errors.report("Error setting up CodeFormer", exc_info=True)
# sys.path = stored_sys_path
diff --git a/modules/config_states.py b/modules/config_states.py index db65bcdb..6f1ab53f 100644 --- a/modules/config_states.py +++ b/modules/config_states.py @@ -3,8 +3,6 @@ Supports saving and restoring webui and extensions from a known working set of c """ import os -import sys -import traceback import json import time import tqdm @@ -13,7 +11,7 @@ from datetime import datetime from collections import OrderedDict import git -from modules import shared, extensions +from modules import shared, extensions, errors from modules.paths_internal import script_path, config_states_dir @@ -53,8 +51,7 @@ def get_webui_config(): if os.path.exists(os.path.join(script_path, ".git")): webui_repo = git.Repo(script_path) except Exception: - print(f"Error reading webui git info from {script_path}:", file=sys.stderr) - print(traceback.format_exc(), file=sys.stderr) + errors.report(f"Error reading webui git info from {script_path}", exc_info=True) webui_remote = None webui_commit_hash = None @@ -134,8 +131,7 @@ def restore_webui_config(config): if os.path.exists(os.path.join(script_path, ".git")): webui_repo = git.Repo(script_path) except Exception: - print(f"Error reading webui git info from {script_path}:", file=sys.stderr) - print(traceback.format_exc(), file=sys.stderr) + errors.report(f"Error reading webui git info from {script_path}", exc_info=True) return try: @@ -143,8 +139,7 @@ def restore_webui_config(config): webui_repo.git.reset(webui_commit_hash, hard=True) print(f"* Restored webui to commit {webui_commit_hash}.") except Exception: - print(f"Error restoring webui to commit {webui_commit_hash}:", file=sys.stderr) - print(traceback.format_exc(), file=sys.stderr) + errors.report(f"Error restoring webui to commit{webui_commit_hash}") def restore_extension_config(config): diff --git a/modules/devices.py b/modules/devices.py index d8a34a0f..1ed6ffdc 100644 --- a/modules/devices.py +++ b/modules/devices.py @@ -1,5 +1,7 @@ import sys import contextlib +from functools import lru_cache + import torch from modules import errors @@ -154,3 +156,19 @@ def test_for_nans(x, where): message += " Use --disable-nan-check commandline argument to disable this check." raise NansException(message) + + +@lru_cache +def first_time_calculation(): + """ + just do any calculation with pytorch layers - the first time this is done it allocaltes about 700MB of memory and + spends about 2.7 seconds doing that, at least wih NVidia. + """ + + x = torch.zeros((1, 1)).to(device, dtype) + linear = torch.nn.Linear(1, 1).to(device, dtype) + linear(x) + + x = torch.zeros((1, 1, 3, 3)).to(device, dtype) + conv2d = torch.nn.Conv2d(1, 1, (3, 3)).to(device, dtype) + conv2d(x) diff --git a/modules/errors.py b/modules/errors.py index f6b80dbb..e408f500 100644 --- a/modules/errors.py +++ b/modules/errors.py @@ -1,7 +1,19 @@ import sys
+import textwrap
import traceback
+def report(message: str, *, exc_info: bool = False) -> None:
+ """
+ Print an error message to stderr, with optional traceback.
+ """
+ for line in message.splitlines():
+ print("***", line, file=sys.stderr)
+ if exc_info:
+ print(textwrap.indent(traceback.format_exc(), " "), file=sys.stderr)
+ print("---", file=sys.stderr)
+
+
def print_error_explanation(message):
lines = message.strip().split("\n")
max_len = max([len(x) for x in lines])
@@ -12,9 +24,13 @@ def print_error_explanation(message): print('=' * max_len, file=sys.stderr)
-def display(e: Exception, task):
+def display(e: Exception, task, *, full_traceback=False):
print(f"{task or 'error'}: {type(e).__name__}", file=sys.stderr)
- print(traceback.format_exc(), file=sys.stderr)
+ te = traceback.TracebackException.from_exception(e)
+ if full_traceback:
+ # include frames leading up to the try-catch block
+ te.stack = traceback.StackSummary(traceback.extract_stack()[:-2] + te.stack)
+ print(*te.format(), sep="", file=sys.stderr)
message = str(e)
if "copying a param with shape torch.Size([640, 1024]) from checkpoint, the shape in current model is torch.Size([640, 768])" in message:
diff --git a/modules/extensions.py b/modules/extensions.py index 624832a0..8608584b 100644 --- a/modules/extensions.py +++ b/modules/extensions.py @@ -1,11 +1,8 @@ import os
-import sys
import threading
-import traceback
-import git
-
-from modules import shared
+from modules import shared, errors
+from modules.gitpython_hack import Repo
from modules.paths_internal import extensions_dir, extensions_builtin_dir, script_path # noqa: F401
extensions = []
@@ -54,10 +51,9 @@ class Extension: repo = None
try:
if os.path.exists(os.path.join(self.path, ".git")):
- repo = git.Repo(self.path)
+ repo = Repo(self.path)
except Exception:
- print(f"Error reading github repository info from {self.path}:", file=sys.stderr)
- print(traceback.format_exc(), file=sys.stderr)
+ errors.report(f"Error reading github repository info from {self.path}", exc_info=True)
if repo is None or repo.bare:
self.remote = None
@@ -72,8 +68,8 @@ class Extension: self.commit_hash = commit.hexsha
self.version = self.commit_hash[:8]
- except Exception as ex:
- print(f"Failed reading extension data from Git repository ({self.name}): {ex}", file=sys.stderr)
+ except Exception:
+ errors.report(f"Failed reading extension data from Git repository ({self.name})", exc_info=True)
self.remote = None
self.have_info_from_repo = True
@@ -94,7 +90,7 @@ class Extension: return res
def check_updates(self):
- repo = git.Repo(self.path)
+ repo = Repo(self.path)
for fetch in repo.remote().fetch(dry_run=True):
if fetch.flags != fetch.HEAD_UPTODATE:
self.can_update = True
@@ -116,7 +112,7 @@ class Extension: self.status = "latest"
def fetch_and_reset_hard(self, commit='origin'):
- repo = git.Repo(self.path)
+ repo = Repo(self.path)
# Fix: `error: Your local changes to the following files would be overwritten by merge`,
# because WSL2 Docker set 755 file permissions instead of 644, this results to the error.
repo.git.fetch(all=True)
diff --git a/modules/generation_parameters_copypaste.py b/modules/generation_parameters_copypaste.py index cfc04114..071bd9ea 100644 --- a/modules/generation_parameters_copypaste.py +++ b/modules/generation_parameters_copypaste.py @@ -306,6 +306,18 @@ Steps: 20, Sampler: Euler a, CFG scale: 7, Seed: 965400086, Size: 512x512, Model if "RNG" not in res:
res["RNG"] = "GPU"
+ if "Schedule type" not in res:
+ res["Schedule type"] = "Automatic"
+
+ if "Schedule max sigma" not in res:
+ res["Schedule max sigma"] = 0
+
+ if "Schedule min sigma" not in res:
+ res["Schedule min sigma"] = 0
+
+ if "Schedule rho" not in res:
+ res["Schedule rho"] = 0
+
return res
@@ -318,6 +330,10 @@ infotext_to_setting_name_mapping = [ ('Conditional mask weight', 'inpainting_mask_weight'),
('Model hash', 'sd_model_checkpoint'),
('ENSD', 'eta_noise_seed_delta'),
+ ('Schedule type', 'k_sched_type'),
+ ('Schedule max sigma', 'sigma_max'),
+ ('Schedule min sigma', 'sigma_min'),
+ ('Schedule rho', 'rho'),
('Noise multiplier', 'initial_noise_multiplier'),
('Eta', 'eta_ancestral'),
('Eta DDIM', 'eta_ddim'),
diff --git a/modules/gfpgan_model.py b/modules/gfpgan_model.py index 0131dea4..e239a09d 100644 --- a/modules/gfpgan_model.py +++ b/modules/gfpgan_model.py @@ -1,12 +1,10 @@ import os
-import sys
-import traceback
import facexlib
import gfpgan
import modules.face_restoration
-from modules import paths, shared, devices, modelloader
+from modules import paths, shared, devices, modelloader, errors
model_dir = "GFPGAN"
user_path = None
@@ -112,5 +110,4 @@ def setup_model(dirname): shared.face_restorers.append(FaceRestorerGFPGAN())
except Exception:
- print("Error setting up GFPGAN:", file=sys.stderr)
- print(traceback.format_exc(), file=sys.stderr)
+ errors.report("Error setting up GFPGAN", exc_info=True)
diff --git a/modules/gitpython_hack.py b/modules/gitpython_hack.py new file mode 100644 index 00000000..e537c1df --- /dev/null +++ b/modules/gitpython_hack.py @@ -0,0 +1,42 @@ +from __future__ import annotations + +import io +import subprocess + +import git + + +class Git(git.Git): + """ + Git subclassed to never use persistent processes. + """ + + def _get_persistent_cmd(self, attr_name, cmd_name, *args, **kwargs): + raise NotImplementedError(f"Refusing to use persistent process: {attr_name} ({cmd_name} {args} {kwargs})") + + def get_object_header(self, ref: str | bytes) -> tuple[str, str, int]: + ret = subprocess.check_output( + [self.GIT_PYTHON_GIT_EXECUTABLE, "cat-file", "--batch-check"], + input=self._prepare_ref(ref), + cwd=self._working_dir, + timeout=2, + ) + return self._parse_object_header(ret) + + def stream_object_data(self, ref: str) -> tuple[str, str, int, "Git.CatFileContentStream"]: + # Not really streaming, per se; this buffers the entire object in memory. + # Shouldn't be a problem for our use case, since we're only using this for + # object headers (commit objects). + ret = subprocess.check_output( + [self.GIT_PYTHON_GIT_EXECUTABLE, "cat-file", "--batch"], + input=self._prepare_ref(ref), + cwd=self._working_dir, + timeout=30, + ) + bio = io.BytesIO(ret) + hexsha, typename, size = self._parse_object_header(bio.readline()) + return (hexsha, typename, size, self.CatFileContentStream(size, bio)) + + +class Repo(git.Repo): + GitCommandWrapperType = Git diff --git a/modules/hypernetworks/hypernetwork.py b/modules/hypernetworks/hypernetwork.py index 570b5603..5d12b449 100644 --- a/modules/hypernetworks/hypernetwork.py +++ b/modules/hypernetworks/hypernetwork.py @@ -2,8 +2,6 @@ import datetime import glob
import html
import os
-import sys
-import traceback
import inspect
import modules.textual_inversion.dataset
@@ -11,7 +9,7 @@ import torch import tqdm
from einops import rearrange, repeat
from ldm.util import default
-from modules import devices, processing, sd_models, shared, sd_samplers, hashes, sd_hijack_checkpoint
+from modules import devices, processing, sd_models, shared, sd_samplers, hashes, sd_hijack_checkpoint, errors
from modules.textual_inversion import textual_inversion, logging
from modules.textual_inversion.learn_schedule import LearnRateScheduler
from torch import einsum
@@ -325,17 +323,14 @@ def load_hypernetwork(name): if path is None:
return None
- hypernetwork = Hypernetwork()
-
try:
+ hypernetwork = Hypernetwork()
hypernetwork.load(path)
+ return hypernetwork
except Exception:
- print(f"Error loading hypernetwork {path}", file=sys.stderr)
- print(traceback.format_exc(), file=sys.stderr)
+ errors.report(f"Error loading hypernetwork {path}", exc_info=True)
return None
- return hypernetwork
-
def load_hypernetworks(names, multipliers=None):
already_loaded = {}
@@ -770,7 +765,7 @@ Last saved image: {html.escape(last_saved_image)}<br/> </p>
"""
except Exception:
- print(traceback.format_exc(), file=sys.stderr)
+ errors.report("Exception in training hypernetwork", exc_info=True)
finally:
pbar.leave = False
pbar.close()
diff --git a/modules/images.py b/modules/images.py index 3f60e944..a12d252b 100644 --- a/modules/images.py +++ b/modules/images.py @@ -1,6 +1,4 @@ import datetime
-import sys
-import traceback
import pytz
import io
@@ -21,6 +19,8 @@ from modules import sd_samplers, shared, script_callbacks, errors from modules.paths_internal import roboto_ttf_file
from modules.shared import opts
+import modules.sd_vae as sd_vae
+
LANCZOS = (Image.Resampling.LANCZOS if hasattr(Image, 'Resampling') else Image.LANCZOS)
@@ -336,8 +336,20 @@ def sanitize_filename_part(text, replace_spaces=True): class FilenameGenerator:
+ def get_vae_filename(self): #get the name of the VAE file.
+ if sd_vae.loaded_vae_file is None:
+ return "NoneType"
+ file_name = os.path.basename(sd_vae.loaded_vae_file)
+ split_file_name = file_name.split('.')
+ if len(split_file_name) > 1 and split_file_name[0] == '':
+ return split_file_name[1] # if the first character of the filename is "." then [1] is obtained.
+ else:
+ return split_file_name[0]
+
replacements = {
'seed': lambda self: self.seed if self.seed is not None else '',
+ 'seed_first': lambda self: self.seed if self.p.batch_size == 1 else self.p.all_seeds[0],
+ 'seed_last': lambda self: NOTHING_AND_SKIP_PREVIOUS_TEXT if self.p.batch_size == 1 else self.p.all_seeds[-1],
'steps': lambda self: self.p and self.p.steps,
'cfg': lambda self: self.p and self.p.cfg_scale,
'width': lambda self: self.image.width,
@@ -354,19 +366,23 @@ class FilenameGenerator: 'prompt_no_styles': lambda self: self.prompt_no_style(),
'prompt_spaces': lambda self: sanitize_filename_part(self.prompt, replace_spaces=False),
'prompt_words': lambda self: self.prompt_words(),
- 'batch_number': lambda self: NOTHING_AND_SKIP_PREVIOUS_TEXT if self.p.batch_size == 1 else self.p.batch_index + 1,
- 'generation_number': lambda self: NOTHING_AND_SKIP_PREVIOUS_TEXT if self.p.n_iter == 1 and self.p.batch_size == 1 else self.p.iteration * self.p.batch_size + self.p.batch_index + 1,
+ 'batch_number': lambda self: NOTHING_AND_SKIP_PREVIOUS_TEXT if self.p.batch_size == 1 or self.zip else self.p.batch_index + 1,
+ 'batch_size': lambda self: self.p.batch_size,
+ 'generation_number': lambda self: NOTHING_AND_SKIP_PREVIOUS_TEXT if (self.p.n_iter == 1 and self.p.batch_size == 1) or self.zip else self.p.iteration * self.p.batch_size + self.p.batch_index + 1,
'hasprompt': lambda self, *args: self.hasprompt(*args), # accepts formats:[hasprompt<prompt1|default><prompt2>..]
'clip_skip': lambda self: opts.data["CLIP_stop_at_last_layers"],
'denoising': lambda self: self.p.denoising_strength if self.p and self.p.denoising_strength else NOTHING_AND_SKIP_PREVIOUS_TEXT,
+ 'vae_filename': lambda self: self.get_vae_filename(),
+
}
default_time_format = '%Y%m%d%H%M%S'
- def __init__(self, p, seed, prompt, image):
+ def __init__(self, p, seed, prompt, image, zip=False):
self.p = p
self.seed = seed
self.prompt = prompt
self.image = image
+ self.zip = zip
def hasprompt(self, *args):
lower = self.prompt.lower()
@@ -446,8 +462,7 @@ class FilenameGenerator: replacement = fun(self, *pattern_args)
except Exception:
replacement = None
- print(f"Error adding [{pattern}] to filename", file=sys.stderr)
- print(traceback.format_exc(), file=sys.stderr)
+ errors.report(f"Error adding [{pattern}] to filename", exc_info=True)
if replacement == NOTHING_AND_SKIP_PREVIOUS_TEXT:
continue
@@ -488,10 +503,6 @@ def save_image_with_geninfo(image, geninfo, filename, extension=None, existing_p image_format = Image.registered_extensions()[extension]
- existing_pnginfo = existing_pnginfo or {}
- if opts.enable_pnginfo:
- existing_pnginfo['parameters'] = geninfo
-
if extension.lower() == '.png':
if opts.enable_pnginfo:
pnginfo_data = PngImagePlugin.PngInfo()
@@ -668,9 +679,10 @@ def read_info_from_image(image): items['exif comment'] = exif_comment
geninfo = exif_comment
- for field in ['jfif', 'jfif_version', 'jfif_unit', 'jfif_density', 'dpi', 'exif',
- 'loop', 'background', 'timestamp', 'duration']:
- items.pop(field, None)
+ for field in ['jfif', 'jfif_version', 'jfif_unit', 'jfif_density', 'dpi', 'exif',
+ 'loop', 'background', 'timestamp', 'duration', 'progressive', 'progression',
+ 'icc_profile', 'chromaticity']:
+ items.pop(field, None)
if items.get("Software", None) == "NovelAI":
try:
@@ -681,8 +693,7 @@ def read_info_from_image(image): Negative prompt: {json_info["uc"]}
Steps: {json_info["steps"]}, Sampler: {sampler}, CFG scale: {json_info["scale"]}, Seed: {json_info["seed"]}, Size: {image.width}x{image.height}, Clip skip: 2, ENSD: 31337"""
except Exception:
- print("Error parsing NovelAI image generation parameters:", file=sys.stderr)
- print(traceback.format_exc(), file=sys.stderr)
+ errors.report("Error parsing NovelAI image generation parameters", exc_info=True)
return geninfo, items
diff --git a/modules/img2img.py b/modules/img2img.py index d704bf90..4c12c2c5 100644 --- a/modules/img2img.py +++ b/modules/img2img.py @@ -92,7 +92,8 @@ def img2img(id_task: str, mode: int, prompt: str, negative_prompt: str, prompt_s elif mode == 2: # inpaint
image, mask = init_img_with_mask["image"], init_img_with_mask["mask"]
alpha_mask = ImageOps.invert(image.split()[-1]).convert('L').point(lambda x: 255 if x > 0 else 0, mode='1')
- mask = ImageChops.lighter(alpha_mask, mask.convert('L')).convert('L')
+ mask = mask.convert('L').point(lambda x: 255 if x > 128 else 0, mode='1')
+ mask = ImageChops.lighter(alpha_mask, mask).convert('L')
image = image.convert("RGB")
elif mode == 3: # inpaint sketch
image = inpaint_color_sketch
diff --git a/modules/interrogate.py b/modules/interrogate.py index 111b1322..9b2c5b60 100644 --- a/modules/interrogate.py +++ b/modules/interrogate.py @@ -1,6 +1,5 @@ import os
import sys
-import traceback
from collections import namedtuple
from pathlib import Path
import re
@@ -216,8 +215,7 @@ class InterrogateModels: res += f", {match}"
except Exception:
- print("Error interrogating", file=sys.stderr)
- print(traceback.format_exc(), file=sys.stderr)
+ errors.report("Error interrogating", exc_info=True)
res += "<error>"
self.unload()
diff --git a/modules/launch_utils.py b/modules/launch_utils.py index 35a52310..0c8c4db0 100644 --- a/modules/launch_utils.py +++ b/modules/launch_utils.py @@ -7,7 +7,7 @@ import platform import json
from functools import lru_cache
-from modules import cmd_args
+from modules import cmd_args, errors
from modules.paths_internal import script_path, extensions_dir
args, _ = cmd_args.parser.parse_known_args()
@@ -68,7 +68,13 @@ def git_tag(): try:
return subprocess.check_output([git, "describe", "--tags"], shell=False, encoding='utf8').strip()
except Exception:
- return "<none>"
+ try:
+ from pathlib import Path
+ changelog_md = Path(__file__).parent.parent / "CHANGELOG.md"
+ with changelog_md.open(encoding="utf-8") as file:
+ return next((line.strip() for line in file if line.strip()), "<none>")
+ except Exception:
+ return "<none>"
def run(command, desc=None, errdesc=None, custom_env=None, live: bool = default_command_live) -> str:
@@ -188,7 +194,7 @@ def run_extension_installer(extension_dir): print(run(f'"{python}" "{path_installer}"', errdesc=f"Error running install.py for extension {extension_dir}", custom_env=env))
except Exception as e:
- print(e, file=sys.stderr)
+ errors.report(str(e))
def list_extensions(settings_file):
@@ -198,8 +204,8 @@ def list_extensions(settings_file): if os.path.isfile(settings_file):
with open(settings_file, "r", encoding="utf8") as file:
settings = json.load(file)
- except Exception as e:
- print(e, file=sys.stderr)
+ except Exception:
+ errors.report("Could not load settings", exc_info=True)
disabled_extensions = set(settings.get('disabled_extensions', []))
disable_all_extensions = settings.get('disable_all_extensions', 'none')
@@ -223,19 +229,17 @@ def prepare_environment(): torch_command = os.environ.get('TORCH_COMMAND', f"pip install torch==2.0.1 torchvision==0.15.2 --extra-index-url {torch_index_url}")
requirements_file = os.environ.get('REQS_FILE', "requirements_versions.txt")
- xformers_package = os.environ.get('XFORMERS_PACKAGE', 'xformers==0.0.17')
+ xformers_package = os.environ.get('XFORMERS_PACKAGE', 'xformers==0.0.20')
gfpgan_package = os.environ.get('GFPGAN_PACKAGE', "https://github.com/TencentARC/GFPGAN/archive/8d2447a2d918f8eba5a4a01463fd48e45126a379.zip")
clip_package = os.environ.get('CLIP_PACKAGE', "https://github.com/openai/CLIP/archive/d50d76daa670286dd6cacf3bcd80b5e4823fc8e1.zip")
openclip_package = os.environ.get('OPENCLIP_PACKAGE', "https://github.com/mlfoundations/open_clip/archive/bb6e834e9c70d9c27d0dc3ecedeebeaeb1ffad6b.zip")
stable_diffusion_repo = os.environ.get('STABLE_DIFFUSION_REPO', "https://github.com/Stability-AI/stablediffusion.git")
- taming_transformers_repo = os.environ.get('TAMING_TRANSFORMERS_REPO', "https://github.com/CompVis/taming-transformers.git")
k_diffusion_repo = os.environ.get('K_DIFFUSION_REPO', 'https://github.com/crowsonkb/k-diffusion.git')
codeformer_repo = os.environ.get('CODEFORMER_REPO', 'https://github.com/sczhou/CodeFormer.git')
blip_repo = os.environ.get('BLIP_REPO', 'https://github.com/salesforce/BLIP.git')
stable_diffusion_commit_hash = os.environ.get('STABLE_DIFFUSION_COMMIT_HASH', "cf1d67a6fd5ea1aa600c4df58e5b47da45f6bdbf")
- taming_transformers_commit_hash = os.environ.get('TAMING_TRANSFORMERS_COMMIT_HASH', "24268930bf1dce879235a7fddd0b2355b84d7ea6")
k_diffusion_commit_hash = os.environ.get('K_DIFFUSION_COMMIT_HASH', "c9fe758757e022f05ca5a53fa8fac28889e4f1cf")
codeformer_commit_hash = os.environ.get('CODEFORMER_COMMIT_HASH', "c5b4593074ba6214284d6acd5f1719b6c5d739af")
blip_commit_hash = os.environ.get('BLIP_COMMIT_HASH', "48211a1594f1321b00f14c9f7a5b4813144b2fb9")
@@ -286,7 +290,6 @@ def prepare_environment(): os.makedirs(os.path.join(script_path, dir_repos), exist_ok=True)
git_clone(stable_diffusion_repo, repo_dir('stable-diffusion-stability-ai'), "Stable Diffusion", stable_diffusion_commit_hash)
- git_clone(taming_transformers_repo, repo_dir('taming-transformers'), "Taming Transformers", taming_transformers_commit_hash)
git_clone(k_diffusion_repo, repo_dir('k-diffusion'), "K-diffusion", k_diffusion_commit_hash)
git_clone(codeformer_repo, repo_dir('CodeFormer'), "CodeFormer", codeformer_commit_hash)
git_clone(blip_repo, repo_dir('BLIP'), "BLIP", blip_commit_hash)
diff --git a/modules/localization.py b/modules/localization.py index ee9c65e7..e8f585da 100644 --- a/modules/localization.py +++ b/modules/localization.py @@ -1,8 +1,7 @@ import json
import os
-import sys
-import traceback
+from modules import errors
localizations = {}
@@ -31,7 +30,6 @@ def localization_js(current_localization_name: str) -> str: with open(fn, "r", encoding="utf8") as file:
data = json.load(file)
except Exception:
- print(f"Error loading localization from {fn}:", file=sys.stderr)
- print(traceback.format_exc(), file=sys.stderr)
+ errors.report(f"Error loading localization from {fn}", exc_info=True)
return f"window.localization = {json.dumps(data)}"
diff --git a/modules/paths.py b/modules/paths.py index 5f6474c0..5171df4f 100644 --- a/modules/paths.py +++ b/modules/paths.py @@ -20,7 +20,6 @@ assert sd_path is not None, f"Couldn't find Stable Diffusion in any of: {possibl path_dirs = [
(sd_path, 'ldm', 'Stable Diffusion', []),
- (os.path.join(sd_path, '../taming-transformers'), 'taming', 'Taming Transformers', []),
(os.path.join(sd_path, '../CodeFormer'), 'inference_codeformer.py', 'CodeFormer', []),
(os.path.join(sd_path, '../BLIP'), 'models/blip.py', 'BLIP', []),
(os.path.join(sd_path, '../k-diffusion'), 'k_diffusion/sampling.py', 'k_diffusion', ["atstart"]),
diff --git a/modules/processing.py b/modules/processing.py index d22b353f..362ab4c2 100644 --- a/modules/processing.py +++ b/modules/processing.py @@ -1,4 +1,5 @@ import json
+import logging
import math
import os
import sys
@@ -13,7 +14,7 @@ from skimage import exposure from typing import Any, Dict, List
import modules.sd_hijack
-from modules import devices, prompt_parser, masking, sd_samplers, lowvram, generation_parameters_copypaste, extra_networks, sd_vae_approx, scripts, sd_samplers_common
+from modules import devices, prompt_parser, masking, sd_samplers, lowvram, generation_parameters_copypaste, extra_networks, sd_vae_approx, scripts, sd_samplers_common, sd_unet
from modules.sd_hijack import model_hijack
from modules.shared import opts, cmd_opts, state
import modules.shared as shared
@@ -23,7 +24,6 @@ import modules.images as images import modules.styles
import modules.sd_models as sd_models
import modules.sd_vae as sd_vae
-import logging
from ldm.data.util import AddMiDaS
from ldm.models.diffusion.ddpm import LatentDepth2ImageDiffusion
@@ -588,6 +588,9 @@ def create_infotext(p, all_prompts, all_seeds, all_subseeds, comments=None, iter def process_images(p: StableDiffusionProcessing) -> Processed:
+ if p.scripts is not None:
+ p.scripts.before_process(p)
+
stored_opts = {k: opts.data[k] for k in p.override_settings.keys()}
try:
@@ -673,6 +676,8 @@ def process_images_inner(p: StableDiffusionProcessing) -> Processed: if shared.opts.live_previews_enable and opts.show_progress_type == "Approx NN":
sd_vae_approx.model()
+ sd_unet.apply_unet()
+
if state.job_count == -1:
state.job_count = p.n_iter
diff --git a/modules/realesrgan_model.py b/modules/realesrgan_model.py index 99983678..2d27b321 100644 --- a/modules/realesrgan_model.py +++ b/modules/realesrgan_model.py @@ -1,6 +1,4 @@ import os
-import sys
-import traceback
import numpy as np
from PIL import Image
@@ -9,7 +7,8 @@ from realesrgan import RealESRGANer from modules.upscaler import Upscaler, UpscalerData
from modules.shared import cmd_opts, opts
-from modules import modelloader
+from modules import modelloader, errors
+
class UpscalerRealESRGAN(Upscaler):
def __init__(self, path):
@@ -36,8 +35,7 @@ class UpscalerRealESRGAN(Upscaler): self.scalers.append(scaler)
except Exception:
- print("Error importing Real-ESRGAN:", file=sys.stderr)
- print(traceback.format_exc(), file=sys.stderr)
+ errors.report("Error importing Real-ESRGAN", exc_info=True)
self.enable = False
self.scalers = []
@@ -76,9 +74,8 @@ class UpscalerRealESRGAN(Upscaler): info.local_data_path = load_file_from_url(url=info.data_path, model_dir=self.model_download_path, progress=True)
return info
- except Exception as e:
- print(f"Error making Real-ESRGAN models list: {e}", file=sys.stderr)
- print(traceback.format_exc(), file=sys.stderr)
+ except Exception:
+ errors.report("Error making Real-ESRGAN models list", exc_info=True)
return None
def load_models(self, _):
@@ -135,5 +132,4 @@ def get_realesrgan_models(scaler): ]
return models
except Exception:
- print("Error making Real-ESRGAN models list:", file=sys.stderr)
- print(traceback.format_exc(), file=sys.stderr)
+ errors.report("Error making Real-ESRGAN models list", exc_info=True)
diff --git a/modules/safe.py b/modules/safe.py index e8f50774..b1d08a79 100644 --- a/modules/safe.py +++ b/modules/safe.py @@ -2,8 +2,6 @@ import pickle
import collections
-import sys
-import traceback
import torch
import numpy
@@ -11,7 +9,10 @@ import _codecs import zipfile
import re
+
# PyTorch 1.13 and later have _TypedStorage renamed to TypedStorage
+from modules import errors
+
TypedStorage = torch.storage.TypedStorage if hasattr(torch.storage, 'TypedStorage') else torch.storage._TypedStorage
def encode(*args):
@@ -136,17 +137,20 @@ def load_with_extra(filename, extra_handler=None, *args, **kwargs): check_pt(filename, extra_handler)
except pickle.UnpicklingError:
- print(f"Error verifying pickled file from {filename}:", file=sys.stderr)
- print(traceback.format_exc(), file=sys.stderr)
- print("-----> !!!! The file is most likely corrupted !!!! <-----", file=sys.stderr)
- print("You can skip this check with --disable-safe-unpickle commandline argument, but that is not going to help you.\n\n", file=sys.stderr)
+ errors.report(
+ f"Error verifying pickled file from {filename}\n"
+ "-----> !!!! The file is most likely corrupted !!!! <-----\n"
+ "You can skip this check with --disable-safe-unpickle commandline argument, but that is not going to help you.\n\n",
+ exc_info=True,
+ )
return None
-
except Exception:
- print(f"Error verifying pickled file from {filename}:", file=sys.stderr)
- print(traceback.format_exc(), file=sys.stderr)
- print("\nThe file may be malicious, so the program is not going to read it.", file=sys.stderr)
- print("You can skip this check with --disable-safe-unpickle commandline argument.\n\n", file=sys.stderr)
+ errors.report(
+ f"Error verifying pickled file from {filename}\n"
+ f"The file may be malicious, so the program is not going to read it.\n"
+ f"You can skip this check with --disable-safe-unpickle commandline argument.\n\n",
+ exc_info=True,
+ )
return None
return unsafe_torch_load(filename, *args, **kwargs)
@@ -190,4 +194,3 @@ with safe.Extra(handler): unsafe_torch_load = torch.load
torch.load = load
global_extra_handler = None
-
diff --git a/modules/script_callbacks.py b/modules/script_callbacks.py index 40f388a5..f755283c 100644 --- a/modules/script_callbacks.py +++ b/modules/script_callbacks.py @@ -1,16 +1,16 @@ -import sys
-import traceback
-from collections import namedtuple
import inspect
+import os
+from collections import namedtuple
from typing import Optional, Dict, Any
from fastapi import FastAPI
from gradio import Blocks
+from modules import errors, timer
+
def report_exception(c, job):
- print(f"Error executing callback {job} for {c.script}", file=sys.stderr)
- print(traceback.format_exc(), file=sys.stderr)
+ errors.report(f"Error executing callback {job} for {c.script}", exc_info=True)
class ImageSaveParams:
@@ -111,6 +111,7 @@ callback_map = dict( callbacks_before_ui=[],
callbacks_on_reload=[],
callbacks_list_optimizers=[],
+ callbacks_list_unets=[],
)
@@ -123,6 +124,7 @@ def app_started_callback(demo: Optional[Blocks], app: FastAPI): for c in callback_map['callbacks_app_started']:
try:
c.callback(demo, app)
+ timer.startup_timer.record(os.path.basename(c.script))
except Exception:
report_exception(c, 'app_started_callback')
@@ -271,6 +273,18 @@ def list_optimizers_callback(): return res
+def list_unets_callback():
+ res = []
+
+ for c in callback_map['callbacks_list_unets']:
+ try:
+ c.callback(res)
+ except Exception:
+ report_exception(c, 'list_unets')
+
+ return res
+
+
def add_callback(callbacks, fun):
stack = [x for x in inspect.stack() if x.filename != __file__]
filename = stack[0].filename if len(stack) > 0 else 'unknown file'
@@ -430,3 +444,10 @@ def on_list_optimizers(callback): to it."""
add_callback(callback_map['callbacks_list_optimizers'], callback)
+
+
+def on_list_unets(callback):
+ """register a function to be called when UI is making a list of alternative options for unet.
+ The function will be called with one argument, a list, and shall add objects of type modules.sd_unet.SdUnetOption to it."""
+
+ add_callback(callback_map['callbacks_list_unets'], callback)
diff --git a/modules/script_loading.py b/modules/script_loading.py index 57b15862..306a1f35 100644 --- a/modules/script_loading.py +++ b/modules/script_loading.py @@ -1,8 +1,8 @@ import os
-import sys
-import traceback
import importlib.util
+from modules import errors
+
def load_module(path):
module_spec = importlib.util.spec_from_file_location(os.path.basename(path), path)
@@ -27,5 +27,4 @@ def preload_extensions(extensions_dir, parser): module.preload(parser)
except Exception:
- print(f"Error running preload() for {preload_script}", file=sys.stderr)
- print(traceback.format_exc(), file=sys.stderr)
+ errors.report(f"Error running preload() for {preload_script}", exc_info=True)
diff --git a/modules/scripts.py b/modules/scripts.py index c902804b..99bf836a 100644 --- a/modules/scripts.py +++ b/modules/scripts.py @@ -1,12 +1,11 @@ import os
import re
import sys
-import traceback
from collections import namedtuple
import gradio as gr
-from modules import shared, paths, script_callbacks, extensions, script_loading, scripts_postprocessing
+from modules import shared, paths, script_callbacks, extensions, script_loading, scripts_postprocessing, errors, timer
AlwaysVisible = object()
@@ -20,6 +19,9 @@ class Script: name = None
"""script's internal name derived from title"""
+ section = None
+ """name of UI section that the script's controls will be placed into"""
+
filename = None
args_from = None
args_to = None
@@ -82,6 +84,15 @@ class Script: pass
+ def before_process(self, p, *args):
+ """
+ This function is called very early before processing begins for AlwaysVisible scripts.
+ You can modify the processing object (p) here, inject hooks, etc.
+ args contains all values returned by components from ui()
+ """
+
+ pass
+
def process(self, p, *args):
"""
This function is called before processing begins for AlwaysVisible scripts.
@@ -264,12 +275,12 @@ def load_scripts(): register_scripts_from_module(script_module)
except Exception:
- print(f"Error loading script: {scriptfile.filename}", file=sys.stderr)
- print(traceback.format_exc(), file=sys.stderr)
+ errors.report(f"Error loading script: {scriptfile.filename}", exc_info=True)
finally:
sys.path = syspath
current_basedir = paths.script_path
+ timer.startup_timer.record(scriptfile.filename)
global scripts_txt2img, scripts_img2img, scripts_postproc
@@ -280,11 +291,9 @@ def load_scripts(): def wrap_call(func, filename, funcname, *args, default=None, **kwargs):
try:
- res = func(*args, **kwargs)
- return res
+ return func(*args, **kwargs)
except Exception:
- print(f"Error calling: {filename}/{funcname}", file=sys.stderr)
- print(traceback.format_exc(), file=sys.stderr)
+ errors.report(f"Error calling: {filename}/{funcname}", exc_info=True)
return default
@@ -297,6 +306,7 @@ class ScriptRunner: self.titles = []
self.infotext_fields = []
self.paste_field_names = []
+ self.inputs = [None]
def initialize_scripts(self, is_img2img):
from modules import scripts_auto_postprocessing
@@ -324,69 +334,73 @@ class ScriptRunner: self.scripts.append(script)
self.selectable_scripts.append(script)
- def setup_ui(self):
+ def create_script_ui(self, script):
import modules.api.models as api_models
- self.titles = [wrap_call(script.title, script.filename, "title") or f"{script.filename} [error]" for script in self.selectable_scripts]
+ script.args_from = len(self.inputs)
+ script.args_to = len(self.inputs)
- inputs = [None]
- inputs_alwayson = [True]
+ controls = wrap_call(script.ui, script.filename, "ui", script.is_img2img)
- def create_script_ui(script, inputs, inputs_alwayson):
- script.args_from = len(inputs)
- script.args_to = len(inputs)
+ if controls is None:
+ return
- controls = wrap_call(script.ui, script.filename, "ui", script.is_img2img)
+ script.name = wrap_call(script.title, script.filename, "title", default=script.filename).lower()
+ api_args = []
- if controls is None:
- return
+ for control in controls:
+ control.custom_script_source = os.path.basename(script.filename)
- script.name = wrap_call(script.title, script.filename, "title", default=script.filename).lower()
- api_args = []
+ arg_info = api_models.ScriptArg(label=control.label or "")
- for control in controls:
- control.custom_script_source = os.path.basename(script.filename)
+ for field in ("value", "minimum", "maximum", "step", "choices"):
+ v = getattr(control, field, None)
+ if v is not None:
+ setattr(arg_info, field, v)
- arg_info = api_models.ScriptArg(label=control.label or "")
+ api_args.append(arg_info)
- for field in ("value", "minimum", "maximum", "step", "choices"):
- v = getattr(control, field, None)
- if v is not None:
- setattr(arg_info, field, v)
+ script.api_info = api_models.ScriptInfo(
+ name=script.name,
+ is_img2img=script.is_img2img,
+ is_alwayson=script.alwayson,
+ args=api_args,
+ )
- api_args.append(arg_info)
+ if script.infotext_fields is not None:
+ self.infotext_fields += script.infotext_fields
- script.api_info = api_models.ScriptInfo(
- name=script.name,
- is_img2img=script.is_img2img,
- is_alwayson=script.alwayson,
- args=api_args,
- )
+ if script.paste_field_names is not None:
+ self.paste_field_names += script.paste_field_names
- if script.infotext_fields is not None:
- self.infotext_fields += script.infotext_fields
+ self.inputs += controls
+ script.args_to = len(self.inputs)
- if script.paste_field_names is not None:
- self.paste_field_names += script.paste_field_names
+ def setup_ui_for_section(self, section, scriptlist=None):
+ if scriptlist is None:
+ scriptlist = self.alwayson_scripts
- inputs += controls
- inputs_alwayson += [script.alwayson for _ in controls]
- script.args_to = len(inputs)
+ for script in scriptlist:
+ if script.alwayson and script.section != section:
+ continue
- for script in self.alwayson_scripts:
- with gr.Group() as group:
- create_script_ui(script, inputs, inputs_alwayson)
+ with gr.Group(visible=script.alwayson) as group:
+ self.create_script_ui(script)
script.group = group
- dropdown = gr.Dropdown(label="Script", elem_id="script_list", choices=["None"] + self.titles, value="None", type="index")
- inputs[0] = dropdown
+ def prepare_ui(self):
+ self.inputs = [None]
- for script in self.selectable_scripts:
- with gr.Group(visible=False) as group:
- create_script_ui(script, inputs, inputs_alwayson)
+ def setup_ui(self):
+ self.titles = [wrap_call(script.title, script.filename, "title") or f"{script.filename} [error]" for script in self.selectable_scripts]
- script.group = group
+ self.setup_ui_for_section(None)
+
+ dropdown = gr.Dropdown(label="Script", elem_id="script_list", choices=["None"] + self.titles, value="None", type="index")
+ self.inputs[0] = dropdown
+
+ self.setup_ui_for_section(None, self.selectable_scripts)
def select_script(script_index):
selected_script = self.selectable_scripts[script_index - 1] if script_index>0 else None
@@ -411,6 +425,7 @@ class ScriptRunner: )
self.script_load_ctr = 0
+
def onload_script_visibility(params):
title = params.get('Script', None)
if title:
@@ -421,10 +436,10 @@ class ScriptRunner: else:
return gr.update(visible=False)
- self.infotext_fields.append( (dropdown, lambda x: gr.update(value=x.get('Script', 'None'))) )
- self.infotext_fields.extend( [(script.group, onload_script_visibility) for script in self.selectable_scripts] )
+ self.infotext_fields.append((dropdown, lambda x: gr.update(value=x.get('Script', 'None'))))
+ self.infotext_fields.extend([(script.group, onload_script_visibility) for script in self.selectable_scripts])
- return inputs
+ return self.inputs
def run(self, p, *args):
script_index = args[0]
@@ -444,14 +459,21 @@ class ScriptRunner: return processed
+ def before_process(self, p):
+ for script in self.alwayson_scripts:
+ try:
+ script_args = p.script_args[script.args_from:script.args_to]
+ script.before_process(p, *script_args)
+ except Exception:
+ errors.report(f"Error running before_process: {script.filename}", exc_info=True)
+
def process(self, p):
for script in self.alwayson_scripts:
try:
script_args = p.script_args[script.args_from:script.args_to]
script.process(p, *script_args)
except Exception:
- print(f"Error running process: {script.filename}", file=sys.stderr)
- print(traceback.format_exc(), file=sys.stderr)
+ errors.report(f"Error running process: {script.filename}", exc_info=True)
def before_process_batch(self, p, **kwargs):
for script in self.alwayson_scripts:
@@ -459,8 +481,7 @@ class ScriptRunner: script_args = p.script_args[script.args_from:script.args_to]
script.before_process_batch(p, *script_args, **kwargs)
except Exception:
- print(f"Error running before_process_batch: {script.filename}", file=sys.stderr)
- print(traceback.format_exc(), file=sys.stderr)
+ errors.report(f"Error running before_process_batch: {script.filename}", exc_info=True)
def process_batch(self, p, **kwargs):
for script in self.alwayson_scripts:
@@ -468,8 +489,7 @@ class ScriptRunner: script_args = p.script_args[script.args_from:script.args_to]
script.process_batch(p, *script_args, **kwargs)
except Exception:
- print(f"Error running process_batch: {script.filename}", file=sys.stderr)
- print(traceback.format_exc(), file=sys.stderr)
+ errors.report(f"Error running process_batch: {script.filename}", exc_info=True)
def postprocess(self, p, processed):
for script in self.alwayson_scripts:
@@ -477,8 +497,7 @@ class ScriptRunner: script_args = p.script_args[script.args_from:script.args_to]
script.postprocess(p, processed, *script_args)
except Exception:
- print(f"Error running postprocess: {script.filename}", file=sys.stderr)
- print(traceback.format_exc(), file=sys.stderr)
+ errors.report(f"Error running postprocess: {script.filename}", exc_info=True)
def postprocess_batch(self, p, images, **kwargs):
for script in self.alwayson_scripts:
@@ -486,8 +505,7 @@ class ScriptRunner: script_args = p.script_args[script.args_from:script.args_to]
script.postprocess_batch(p, *script_args, images=images, **kwargs)
except Exception:
- print(f"Error running postprocess_batch: {script.filename}", file=sys.stderr)
- print(traceback.format_exc(), file=sys.stderr)
+ errors.report(f"Error running postprocess_batch: {script.filename}", exc_info=True)
def postprocess_image(self, p, pp: PostprocessImageArgs):
for script in self.alwayson_scripts:
@@ -495,24 +513,21 @@ class ScriptRunner: script_args = p.script_args[script.args_from:script.args_to]
script.postprocess_image(p, pp, *script_args)
except Exception:
- print(f"Error running postprocess_batch: {script.filename}", file=sys.stderr)
- print(traceback.format_exc(), file=sys.stderr)
+ errors.report(f"Error running postprocess_image: {script.filename}", exc_info=True)
def before_component(self, component, **kwargs):
for script in self.scripts:
try:
script.before_component(component, **kwargs)
except Exception:
- print(f"Error running before_component: {script.filename}", file=sys.stderr)
- print(traceback.format_exc(), file=sys.stderr)
+ errors.report(f"Error running before_component: {script.filename}", exc_info=True)
def after_component(self, component, **kwargs):
for script in self.scripts:
try:
script.after_component(component, **kwargs)
except Exception:
- print(f"Error running after_component: {script.filename}", file=sys.stderr)
- print(traceback.format_exc(), file=sys.stderr)
+ errors.report(f"Error running after_component: {script.filename}", exc_info=True)
def reload_sources(self, cache):
for si, script in list(enumerate(self.scripts)):
diff --git a/modules/sd_hijack.py b/modules/sd_hijack.py index 221771da..3b6f95ce 100644 --- a/modules/sd_hijack.py +++ b/modules/sd_hijack.py @@ -3,7 +3,7 @@ from torch.nn.functional import silu from types import MethodType
import modules.textual_inversion.textual_inversion
-from modules import devices, sd_hijack_optimizations, shared, script_callbacks, errors
+from modules import devices, sd_hijack_optimizations, shared, script_callbacks, errors, sd_unet
from modules.hypernetworks import hypernetwork
from modules.shared import cmd_opts
from modules import sd_hijack_clip, sd_hijack_open_clip, sd_hijack_unet, sd_hijack_xlmr, xlmr
@@ -43,7 +43,7 @@ def list_optimizers(): optimizers.extend(new_optimizers)
-def apply_optimizations():
+def apply_optimizations(option=None):
global current_optimizer
undo_optimizations()
@@ -60,7 +60,7 @@ def apply_optimizations(): current_optimizer.undo()
current_optimizer = None
- selection = shared.opts.cross_attention_optimization
+ selection = option or shared.opts.cross_attention_optimization
if selection == "Automatic" and len(optimizers) > 0:
matching_optimizer = next(iter([x for x in optimizers if x.cmd_opt and getattr(shared.cmd_opts, x.cmd_opt, False)]), optimizers[0])
else:
@@ -74,12 +74,13 @@ def apply_optimizations(): matching_optimizer = optimizers[0]
if matching_optimizer is not None:
- print(f"Applying optimization: {matching_optimizer.name}... ", end='')
+ print(f"Applying attention optimization: {matching_optimizer.name}... ", end='')
matching_optimizer.apply()
print("done.")
current_optimizer = matching_optimizer
return current_optimizer.name
else:
+ print("Disabling attention optimization")
return ''
@@ -157,9 +158,9 @@ class StableDiffusionModelHijack: def __init__(self):
self.embedding_db.add_embedding_dir(cmd_opts.embeddings_dir)
- def apply_optimizations(self):
+ def apply_optimizations(self, option=None):
try:
- self.optimization_method = apply_optimizations()
+ self.optimization_method = apply_optimizations(option)
except Exception as e:
errors.display(e, "applying cross attention optimization")
undo_optimizations()
@@ -196,6 +197,11 @@ class StableDiffusionModelHijack: self.layers = flatten(m)
+ if not hasattr(ldm.modules.diffusionmodules.openaimodel, 'copy_of_UNetModel_forward_for_webui'):
+ ldm.modules.diffusionmodules.openaimodel.copy_of_UNetModel_forward_for_webui = ldm.modules.diffusionmodules.openaimodel.UNetModel.forward
+
+ ldm.modules.diffusionmodules.openaimodel.UNetModel.forward = sd_unet.UNetModel_forward
+
def undo_hijack(self, m):
if type(m.cond_stage_model) == xlmr.BertSeriesModelWithTransformation:
m.cond_stage_model = m.cond_stage_model.wrapped
@@ -217,6 +223,8 @@ class StableDiffusionModelHijack: self.layers = None
self.clip = None
+ ldm.modules.diffusionmodules.openaimodel.UNetModel.forward = ldm.modules.diffusionmodules.openaimodel.copy_of_UNetModel_forward_for_webui
+
def apply_circular(self, enable):
if self.circular_enabled == enable:
return
diff --git a/modules/sd_hijack_optimizations.py b/modules/sd_hijack_optimizations.py index 80e48a42..b41aa419 100644 --- a/modules/sd_hijack_optimizations.py +++ b/modules/sd_hijack_optimizations.py @@ -1,7 +1,5 @@ from __future__ import annotations
import math
-import sys
-import traceback
import psutil
import torch
@@ -140,8 +138,7 @@ if shared.cmd_opts.xformers or shared.cmd_opts.force_enable_xformers: import xformers.ops
shared.xformers_available = True
except Exception:
- print("Cannot import xformers", file=sys.stderr)
- print(traceback.format_exc(), file=sys.stderr)
+ errors.report("Cannot import xformers", exc_info=True)
def get_available_vram():
diff --git a/modules/sd_models.py b/modules/sd_models.py index 7742998a..918f6fd6 100644 --- a/modules/sd_models.py +++ b/modules/sd_models.py @@ -14,7 +14,7 @@ import ldm.modules.midas as midas from ldm.util import instantiate_from_config
-from modules import paths, shared, modelloader, devices, script_callbacks, sd_vae, sd_disable_initialization, errors, hashes, sd_models_config
+from modules import paths, shared, modelloader, devices, script_callbacks, sd_vae, sd_disable_initialization, errors, hashes, sd_models_config, sd_unet
from modules.sd_hijack_inpainting import do_inpainting_hijack
from modules.timer import Timer
import tomesd
@@ -164,6 +164,7 @@ def model_hash(filename): def select_checkpoint():
+ """Raises `FileNotFoundError` if no checkpoints are found."""
model_checkpoint = shared.opts.sd_model_checkpoint
checkpoint_info = checkpoint_alisases.get(model_checkpoint, None)
@@ -171,14 +172,14 @@ def select_checkpoint(): return checkpoint_info
if len(checkpoints_list) == 0:
- print("No checkpoints found. When searching for checkpoints, looked at:", file=sys.stderr)
+ error_message = "No checkpoints found. When searching for checkpoints, looked at:"
if shared.cmd_opts.ckpt is not None:
- print(f" - file {os.path.abspath(shared.cmd_opts.ckpt)}", file=sys.stderr)
- print(f" - directory {model_path}", file=sys.stderr)
+ error_message += f"\n - file {os.path.abspath(shared.cmd_opts.ckpt)}"
+ error_message += f"\n - directory {model_path}"
if shared.cmd_opts.ckpt_dir is not None:
- print(f" - directory {os.path.abspath(shared.cmd_opts.ckpt_dir)}", file=sys.stderr)
- print("Can't run without a checkpoint. Find and place a .ckpt or .safetensors file into any of those locations. The program will exit.", file=sys.stderr)
- exit(1)
+ error_message += f"\n - directory {os.path.abspath(shared.cmd_opts.ckpt_dir)}"
+ error_message += "Can't run without a checkpoint. Find and place a .ckpt or .safetensors file into any of those locations."
+ raise FileNotFoundError(error_message)
checkpoint_info = next(iter(checkpoints_list.values()))
if model_checkpoint is not None:
@@ -421,7 +422,7 @@ class SdModelData: try:
load_model()
except Exception as e:
- errors.display(e, "loading stable diffusion model")
+ errors.display(e, "loading stable diffusion model", full_traceback=True)
print("", file=sys.stderr)
print("Stable diffusion model failed to load", file=sys.stderr)
self.sd_model = None
@@ -506,6 +507,11 @@ def load_model(checkpoint_info=None, already_loaded_state_dict=None): timer.record("scripts callbacks")
+ with devices.autocast(), torch.no_grad():
+ sd_model.cond_stage_model_empty_prompt = sd_model.cond_stage_model([""])
+
+ timer.record("calculate empty prompt")
+
print(f"Model loaded in {timer.summary()}.")
return sd_model
@@ -525,6 +531,8 @@ def reload_model_weights(sd_model=None, info=None): if sd_model.sd_model_checkpoint == checkpoint_info.filename:
return
+ sd_unet.apply_unet("None")
+
if shared.cmd_opts.lowvram or shared.cmd_opts.medvram:
lowvram.send_everything_to_cpu()
else:
diff --git a/modules/sd_samplers_kdiffusion.py b/modules/sd_samplers_kdiffusion.py index 59982fc9..f8a0c7ba 100644 --- a/modules/sd_samplers_kdiffusion.py +++ b/modules/sd_samplers_kdiffusion.py @@ -20,7 +20,7 @@ samplers_k_diffusion = [ ('DPM++ 2S a', 'sample_dpmpp_2s_ancestral', ['k_dpmpp_2s_a'], {"uses_ensd": True, "second_order": True}),
('DPM++ 2M', 'sample_dpmpp_2m', ['k_dpmpp_2m'], {}),
('DPM++ SDE', 'sample_dpmpp_sde', ['k_dpmpp_sde'], {"second_order": True, "brownian_noise": True}),
- ('DPM++ 2M SDE', 'sample_dpmpp_2m_sde', ['k_dpmpp_2m_sde_ka'], {"brownian_noise": True, 'discard_next_to_last_sigma': True}),
+ ('DPM++ 2M SDE', 'sample_dpmpp_2m_sde', ['k_dpmpp_2m_sde_ka'], {"brownian_noise": True}),
('DPM fast', 'sample_dpm_fast', ['k_dpm_fast'], {"uses_ensd": True}),
('DPM adaptive', 'sample_dpm_adaptive', ['k_dpm_ad'], {"uses_ensd": True}),
('LMS Karras', 'sample_lms', ['k_lms_ka'], {'scheduler': 'karras'}),
@@ -29,7 +29,7 @@ samplers_k_diffusion = [ ('DPM++ 2S a Karras', 'sample_dpmpp_2s_ancestral', ['k_dpmpp_2s_a_ka'], {'scheduler': 'karras', "uses_ensd": True, "second_order": True}),
('DPM++ 2M Karras', 'sample_dpmpp_2m', ['k_dpmpp_2m_ka'], {'scheduler': 'karras'}),
('DPM++ SDE Karras', 'sample_dpmpp_sde', ['k_dpmpp_sde_ka'], {'scheduler': 'karras', "second_order": True, "brownian_noise": True}),
- ('DPM++ 2M SDE Karras', 'sample_dpmpp_2m_sde', ['k_dpmpp_2m_sde_ka'], {'scheduler': 'karras', "brownian_noise": True, 'discard_next_to_last_sigma': True}),
+ ('DPM++ 2M SDE Karras', 'sample_dpmpp_2m_sde', ['k_dpmpp_2m_sde_ka'], {'scheduler': 'karras', "brownian_noise": True}),
]
samplers_data_k_diffusion = [
@@ -44,6 +44,14 @@ sampler_extra_params = { 'sample_dpm_2': ['s_churn', 's_tmin', 's_tmax', 's_noise'],
}
+k_diffusion_samplers_map = {x.name: x for x in samplers_data_k_diffusion}
+k_diffusion_scheduler = {
+ 'Automatic': None,
+ 'karras': k_diffusion.sampling.get_sigmas_karras,
+ 'exponential': k_diffusion.sampling.get_sigmas_exponential,
+ 'polyexponential': k_diffusion.sampling.get_sigmas_polyexponential
+}
+
class CFGDenoiser(torch.nn.Module):
"""
@@ -125,6 +133,16 @@ class CFGDenoiser(torch.nn.Module): x_in = x_in[:-batch_size]
sigma_in = sigma_in[:-batch_size]
+ # TODO add infotext entry
+ if shared.opts.pad_cond_uncond and tensor.shape[1] != uncond.shape[1]:
+ empty = shared.sd_model.cond_stage_model_empty_prompt
+ num_repeats = (tensor.shape[1] - uncond.shape[1]) // empty.shape[1]
+
+ if num_repeats < 0:
+ tensor = torch.cat([tensor, empty.repeat((tensor.shape[0], -num_repeats, 1))], axis=1)
+ elif num_repeats > 0:
+ uncond = torch.cat([uncond, empty.repeat((uncond.shape[0], num_repeats, 1))], axis=1)
+
if tensor.shape[1] == uncond.shape[1] or skip_uncond:
if is_edit_model:
cond_in = torch.cat([tensor, uncond, uncond])
@@ -255,6 +273,13 @@ class KDiffusionSampler: try:
return func()
+ except RecursionError:
+ print(
+ 'Encountered RecursionError during sampling, returning last latent. '
+ 'rho >5 with a polyexponential scheduler may cause this error. '
+ 'You should try to use a smaller rho value instead.'
+ )
+ return self.last_latent
except sd_samplers_common.InterruptedException:
return self.last_latent
@@ -294,6 +319,31 @@ class KDiffusionSampler: if p.sampler_noise_scheduler_override:
sigmas = p.sampler_noise_scheduler_override(steps)
+ elif opts.k_sched_type != "Automatic":
+ m_sigma_min, m_sigma_max = (self.model_wrap.sigmas[0].item(), self.model_wrap.sigmas[-1].item())
+ sigma_min, sigma_max = (0.1, 10) if opts.use_old_karras_scheduler_sigmas else (m_sigma_min, m_sigma_max)
+ sigmas_kwargs = {
+ 'sigma_min': sigma_min,
+ 'sigma_max': sigma_max,
+ }
+
+ sigmas_func = k_diffusion_scheduler[opts.k_sched_type]
+ p.extra_generation_params["Schedule type"] = opts.k_sched_type
+
+ if opts.sigma_min != m_sigma_min and opts.sigma_min != 0:
+ sigmas_kwargs['sigma_min'] = opts.sigma_min
+ p.extra_generation_params["Schedule min sigma"] = opts.sigma_min
+ if opts.sigma_max != m_sigma_max and opts.sigma_max != 0:
+ sigmas_kwargs['sigma_max'] = opts.sigma_max
+ p.extra_generation_params["Schedule max sigma"] = opts.sigma_max
+
+ default_rho = 1. if opts.k_sched_type == "polyexponential" else 7.
+
+ if opts.k_sched_type != 'exponential' and opts.rho != 0 and opts.rho != default_rho:
+ sigmas_kwargs['rho'] = opts.rho
+ p.extra_generation_params["Schedule rho"] = opts.rho
+
+ sigmas = sigmas_func(n=steps, **sigmas_kwargs, device=shared.device)
elif self.config is not None and self.config.options.get('scheduler', None) == 'karras':
sigma_min, sigma_max = (0.1, 10) if opts.use_old_karras_scheduler_sigmas else (self.model_wrap.sigmas[0].item(), self.model_wrap.sigmas[-1].item())
diff --git a/modules/sd_unet.py b/modules/sd_unet.py new file mode 100644 index 00000000..6d708ad2 --- /dev/null +++ b/modules/sd_unet.py @@ -0,0 +1,92 @@ +import torch.nn
+import ldm.modules.diffusionmodules.openaimodel
+
+from modules import script_callbacks, shared, devices
+
+unet_options = []
+current_unet_option = None
+current_unet = None
+
+
+def list_unets():
+ new_unets = script_callbacks.list_unets_callback()
+
+ unet_options.clear()
+ unet_options.extend(new_unets)
+
+
+def get_unet_option(option=None):
+ option = option or shared.opts.sd_unet
+
+ if option == "None":
+ return None
+
+ if option == "Automatic":
+ name = shared.sd_model.sd_checkpoint_info.model_name
+
+ options = [x for x in unet_options if x.model_name == name]
+
+ option = options[0].label if options else "None"
+
+ return next(iter([x for x in unet_options if x.label == option]), None)
+
+
+def apply_unet(option=None):
+ global current_unet_option
+ global current_unet
+
+ new_option = get_unet_option(option)
+ if new_option == current_unet_option:
+ return
+
+ if current_unet is not None:
+ print(f"Dectivating unet: {current_unet.option.label}")
+ current_unet.deactivate()
+
+ current_unet_option = new_option
+ if current_unet_option is None:
+ current_unet = None
+
+ if not (shared.cmd_opts.lowvram or shared.cmd_opts.medvram):
+ shared.sd_model.model.diffusion_model.to(devices.device)
+
+ return
+
+ shared.sd_model.model.diffusion_model.to(devices.cpu)
+ devices.torch_gc()
+
+ current_unet = current_unet_option.create_unet()
+ current_unet.option = current_unet_option
+ print(f"Activating unet: {current_unet.option.label}")
+ current_unet.activate()
+
+
+class SdUnetOption:
+ model_name = None
+ """name of related checkpoint - this option will be selected automatically for unet if the name of checkpoint matches this"""
+
+ label = None
+ """name of the unet in UI"""
+
+ def create_unet(self):
+ """returns SdUnet object to be used as a Unet instead of built-in unet when making pictures"""
+ raise NotImplementedError()
+
+
+class SdUnet(torch.nn.Module):
+ def forward(self, x, timesteps, context, *args, **kwargs):
+ raise NotImplementedError()
+
+ def activate(self):
+ pass
+
+ def deactivate(self):
+ pass
+
+
+def UNetModel_forward(self, x, timesteps=None, context=None, *args, **kwargs):
+ if current_unet is not None:
+ return current_unet.forward(x, timesteps, context, *args, **kwargs)
+
+ return ldm.modules.diffusionmodules.openaimodel.copy_of_UNetModel_forward_for_webui(self, x, timesteps, context, *args, **kwargs)
+
diff --git a/modules/shared.py b/modules/shared.py index 271a062d..7025a754 100644 --- a/modules/shared.py +++ b/modules/shared.py @@ -44,19 +44,6 @@ restricted_opts = { "outdir_init_images"
}
-ui_reorder_categories = [
- "inpaint",
- "sampler",
- "checkboxes",
- "hires_fix",
- "dimensions",
- "cfg",
- "seed",
- "batch",
- "override_settings",
- "scripts",
-]
-
# https://huggingface.co/datasets/freddyaboulton/gradio-theme-subdomains/resolve/main/subdomains.json
gradio_hf_hub_themes = [
"gradio/glass",
@@ -318,6 +305,7 @@ options_templates.update(options_section(('saving-images', "Saving images/grids" "grid_extended_filename": OptionInfo(False, "Add extended info (seed, prompt) to filename when saving grid"),
"grid_only_if_multiple": OptionInfo(True, "Do not save grids consisting of one picture"),
"grid_prevent_empty_spots": OptionInfo(False, "Prevent empty spots in grid (when set to autodetect)"),
+ "grid_zip_filename_pattern": OptionInfo("", "Archive filename pattern", component_args=hide_dirs).link("wiki", "https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Custom-Images-Filename-Name-and-Subdirectory"),
"n_rows": OptionInfo(-1, "Grid row count; use -1 for autodetect and 0 for it to be same as batch size", gr.Slider, {"minimum": -1, "maximum": 16, "step": 1}),
"enable_pnginfo": OptionInfo(True, "Save text information about generation parameters as chunks to png files"),
@@ -407,6 +395,7 @@ options_templates.update(options_section(('sd', "Stable Diffusion"), { "sd_vae_checkpoint_cache": OptionInfo(0, "VAE Checkpoints to cache in RAM", gr.Slider, {"minimum": 0, "maximum": 10, "step": 1}),
"sd_vae": OptionInfo("Automatic", "SD VAE", gr.Dropdown, lambda: {"choices": shared_items.sd_vae_items()}, refresh=shared_items.refresh_vae_list).info("choose VAE model: Automatic = use one with same filename as checkpoint; None = use VAE from checkpoint"),
"sd_vae_as_default": OptionInfo(True, "Ignore selected VAE for stable diffusion checkpoints that have their own .vae.pt next to them"),
+ "sd_unet": OptionInfo("Automatic", "SD Unet", gr.Dropdown, lambda: {"choices": shared_items.sd_unet_items()}, refresh=shared_items.refresh_unet_list).info("choose Unet model: Automatic = use one with same filename as checkpoint; None = use Unet from checkpoint"),
"inpainting_mask_weight": OptionInfo(1.0, "Inpainting conditioning mask strength", gr.Slider, {"minimum": 0.0, "maximum": 1.0, "step": 0.01}),
"initial_noise_multiplier": OptionInfo(1.0, "Noise multiplier for img2img", gr.Slider, {"minimum": 0.5, "maximum": 1.5, "step": 0.01}),
"img2img_color_correction": OptionInfo(False, "Apply color correction to img2img results to match original colors."),
@@ -418,15 +407,16 @@ options_templates.update(options_section(('sd', "Stable Diffusion"), { "comma_padding_backtrack": OptionInfo(20, "Prompt word wrap length limit", gr.Slider, {"minimum": 0, "maximum": 74, "step": 1}).info("in tokens - for texts shorter than specified, if they don't fit into 75 token limit, move them to the next 75 token chunk"),
"CLIP_stop_at_last_layers": OptionInfo(1, "Clip skip", gr.Slider, {"minimum": 1, "maximum": 12, "step": 1}).link("wiki", "https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Features#clip-skip").info("ignore last layers of CLIP nrtwork; 1 ignores none, 2 ignores one layer"),
"upcast_attn": OptionInfo(False, "Upcast cross attention layer to float32"),
- "randn_source": OptionInfo("GPU", "Random number generator source.", gr.Radio, {"choices": ["GPU", "CPU"]}).info("changes seeds drastically; use CPU to produce the same picture across different vidocard vendors"),
+ "randn_source": OptionInfo("GPU", "Random number generator source.", gr.Radio, {"choices": ["GPU", "CPU"]}).info("changes seeds drastically; use CPU to produce the same picture across different videocard vendors"),
}))
options_templates.update(options_section(('optimizations', "Optimizations"), {
"cross_attention_optimization": OptionInfo("Automatic", "Cross attention optimization", gr.Dropdown, lambda: {"choices": shared_items.cross_attention_optimizations()}),
- "s_min_uncond": OptionInfo(0, "Negative Guidance minimum sigma", gr.Slider, {"minimum": 0.0, "maximum": 4.0, "step": 0.01}).link("PR", "https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/9177").info("skip negative prompt for some steps when the image is almost ready; 0=disable, higher=faster"),
+ "s_min_uncond": OptionInfo(0.0, "Negative Guidance minimum sigma", gr.Slider, {"minimum": 0.0, "maximum": 4.0, "step": 0.01}).link("PR", "https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/9177").info("skip negative prompt for some steps when the image is almost ready; 0=disable, higher=faster"),
"token_merging_ratio": OptionInfo(0.0, "Token merging ratio", gr.Slider, {"minimum": 0.0, "maximum": 0.9, "step": 0.1}).link("PR", "https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/9256").info("0=disable, higher=faster"),
"token_merging_ratio_img2img": OptionInfo(0.0, "Token merging ratio for img2img", gr.Slider, {"minimum": 0.0, "maximum": 0.9, "step": 0.1}).info("only applies if non-zero and overrides above"),
"token_merging_ratio_hr": OptionInfo(0.0, "Token merging ratio for high-res pass", gr.Slider, {"minimum": 0.0, "maximum": 0.9, "step": 0.1}).info("only applies if non-zero and overrides above"),
+ "pad_cond_uncond": OptionInfo(False, "Pad prompt/negative prompt to be same length").info("improves performance when prompt and negative prompt have different lengths; changes seeds"),
}))
options_templates.update(options_section(('compatibility', "Compatibility"), {
@@ -488,9 +478,10 @@ options_templates.update(options_section(('ui', "User interface"), { "quicksettings_list": OptionInfo(["sd_model_checkpoint"], "Quicksettings list", ui_components.DropdownMulti, lambda: {"choices": list(opts.data_labels.keys())}).js("info", "settingsHintsShowQuicksettings").info("setting entries that appear at the top of page rather than in settings tab").needs_restart(),
"ui_tab_order": OptionInfo([], "UI tab order", ui_components.DropdownMulti, lambda: {"choices": list(tab_names)}).needs_restart(),
"hidden_tabs": OptionInfo([], "Hidden UI tabs", ui_components.DropdownMulti, lambda: {"choices": list(tab_names)}).needs_restart(),
- "ui_reorder": OptionInfo(", ".join(ui_reorder_categories), "txt2img/img2img UI item order").needs_restart(),
+ "ui_reorder_list": OptionInfo([], "txt2img/img2img UI item order", ui_components.DropdownMulti, lambda: {"choices": list(shared_items.ui_reorder_categories())}).info("selected items appear first").needs_restart(),
"hires_fix_show_sampler": OptionInfo(False, "Hires fix: show hires sampler selection").needs_restart(),
"hires_fix_show_prompts": OptionInfo(False, "Hires fix: show hires prompt and negative prompt").needs_restart(),
+ "disable_token_counters": OptionInfo(False, "Disable prompt token counters").needs_restart(),
}))
options_templates.update(options_section(('infotext', "Infotext"), {
@@ -519,6 +510,10 @@ options_templates.update(options_section(('sampler-params', "Sampler parameters" 's_churn': OptionInfo(0.0, "sigma churn", gr.Slider, {"minimum": 0.0, "maximum": 1.0, "step": 0.01}),
's_tmin': OptionInfo(0.0, "sigma tmin", gr.Slider, {"minimum": 0.0, "maximum": 1.0, "step": 0.01}),
's_noise': OptionInfo(1.0, "sigma noise", gr.Slider, {"minimum": 0.0, "maximum": 1.0, "step": 0.01}),
+ 'k_sched_type': OptionInfo("Automatic", "scheduler type", gr.Dropdown, {"choices": ["Automatic", "karras", "exponential", "polyexponential"]}).info("lets you override the noise schedule for k-diffusion samplers; choosing Automatic disables the three parameters below"),
+ 'sigma_min': OptionInfo(0.0, "sigma min", gr.Number).info("0 = default (~0.03); minimum noise strength for k-diffusion noise scheduler"),
+ 'sigma_max': OptionInfo(0.0, "sigma max", gr.Number).info("0 = default (~14.6); maximum noise strength for k-diffusion noise schedule"),
+ 'rho': OptionInfo(0.0, "rho", gr.Number).info("0 = default (7 for karras, 1 for polyexponential); higher values result in a more steep noise schedule (decreases faster)"),
'eta_noise_seed_delta': OptionInfo(0, "Eta noise seed delta", gr.Number, {"precision": 0}).info("ENSD; does not improve anything, just produces different results for ancestral samplers - only useful for reproducing images"),
'always_discard_next_to_last_sigma': OptionInfo(False, "Always discard next-to-last sigma").link("PR", "https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/6044"),
'uni_pc_variant': OptionInfo("bh1", "UniPC variant", gr.Radio, {"choices": ["bh1", "bh2", "vary_coeff"]}),
@@ -634,6 +629,10 @@ class Options: if self.data.get('quicksettings') is not None and self.data.get('quicksettings_list') is None:
self.data['quicksettings_list'] = [i.strip() for i in self.data.get('quicksettings').split(',')]
+ # 1.4.0 ui_reorder
+ if isinstance(self.data.get('ui_reorder'), str) and self.data.get('ui_reorder') and "ui_reorder_list" not in self.data:
+ self.data['ui_reorder_list'] = [i.strip() for i in self.data.get('ui_reorder').split(',')]
+
bad_settings = 0
for k, v in self.data.items():
info = self.data_labels.get(k, None)
diff --git a/modules/shared_items.py b/modules/shared_items.py index 2a8713c8..89792e88 100644 --- a/modules/shared_items.py +++ b/modules/shared_items.py @@ -29,3 +29,41 @@ def cross_attention_optimizations(): return ["Automatic"] + [x.title() for x in modules.sd_hijack.optimizers] + ["None"]
+def sd_unet_items():
+ import modules.sd_unet
+
+ return ["Automatic"] + [x.label for x in modules.sd_unet.unet_options] + ["None"]
+
+
+def refresh_unet_list():
+ import modules.sd_unet
+
+ modules.sd_unet.list_unets()
+
+
+ui_reorder_categories_builtin_items = [
+ "inpaint",
+ "sampler",
+ "checkboxes",
+ "hires_fix",
+ "dimensions",
+ "cfg",
+ "seed",
+ "batch",
+ "override_settings",
+]
+
+
+def ui_reorder_categories():
+ from modules import scripts
+
+ yield from ui_reorder_categories_builtin_items
+
+ sections = {}
+ for script in scripts.scripts_txt2img.scripts + scripts.scripts_img2img.scripts:
+ if isinstance(script.section, str):
+ sections[script.section] = 1
+
+ yield from sections
+
+ yield "scripts"
diff --git a/modules/textual_inversion/image_embedding.py b/modules/textual_inversion/image_embedding.py index 5858a55f..81cff7bf 100644 --- a/modules/textual_inversion/image_embedding.py +++ b/modules/textual_inversion/image_embedding.py @@ -1,8 +1,10 @@ import base64
import json
+import warnings
+
import numpy as np
import zlib
-from PIL import Image, ImageDraw, ImageFont
+from PIL import Image, ImageDraw
import torch
@@ -129,14 +131,17 @@ def extract_image_data_embed(image): def caption_image_overlay(srcimage, title, footerLeft, footerMid, footerRight, textfont=None):
+ from modules.images import get_font
+ if textfont:
+ warnings.warn(
+ 'passing in a textfont to caption_image_overlay is deprecated and does nothing',
+ DeprecationWarning,
+ stacklevel=2,
+ )
from math import cos
image = srcimage.copy()
fontsize = 32
- if textfont is None:
- from modules.images import get_font
- textfont = get_font(fontsize)
-
factor = 1.5
gradient = Image.new('RGBA', (1, image.size[1]), color=(0, 0, 0, 0))
for y in range(image.size[1]):
@@ -147,12 +152,12 @@ def caption_image_overlay(srcimage, title, footerLeft, footerMid, footerRight, t draw = ImageDraw.Draw(image)
- font = ImageFont.truetype(textfont, fontsize)
+ font = get_font(fontsize)
padding = 10
_, _, w, h = draw.textbbox((0, 0), title, font=font)
fontsize = min(int(fontsize * (((image.size[0]*0.75)-(padding*4))/w)), 72)
- font = ImageFont.truetype(textfont, fontsize)
+ font = get_font(fontsize)
_, _, w, h = draw.textbbox((0, 0), title, font=font)
draw.text((padding, padding), title, anchor='lt', font=font, fill=(255, 255, 255, 230))
@@ -163,7 +168,7 @@ def caption_image_overlay(srcimage, title, footerLeft, footerMid, footerRight, t _, _, w, h = draw.textbbox((0, 0), footerRight, font=font)
fontsize_right = min(int(fontsize * (((image.size[0]/3)-(padding))/w)), 72)
- font = ImageFont.truetype(textfont, min(fontsize_left, fontsize_mid, fontsize_right))
+ font = get_font(min(fontsize_left, fontsize_mid, fontsize_right))
draw.text((padding, image.size[1]-padding), footerLeft, anchor='ls', font=font, fill=(255, 255, 255, 230))
draw.text((image.size[0]/2, image.size[1]-padding), footerMid, anchor='ms', font=font, fill=(255, 255, 255, 230))
diff --git a/modules/textual_inversion/textual_inversion.py b/modules/textual_inversion/textual_inversion.py index d489ed1e..8da050ca 100644 --- a/modules/textual_inversion/textual_inversion.py +++ b/modules/textual_inversion/textual_inversion.py @@ -1,6 +1,4 @@ import os
-import sys
-import traceback
from collections import namedtuple
import torch
@@ -14,7 +12,7 @@ import numpy as np from PIL import Image, PngImagePlugin
from torch.utils.tensorboard import SummaryWriter
-from modules import shared, devices, sd_hijack, processing, sd_models, images, sd_samplers, sd_hijack_checkpoint
+from modules import shared, devices, sd_hijack, processing, sd_models, images, sd_samplers, sd_hijack_checkpoint, errors
import modules.textual_inversion.dataset
from modules.textual_inversion.learn_schedule import LearnRateScheduler
@@ -120,16 +118,29 @@ class EmbeddingDatabase: self.embedding_dirs.clear()
def register_embedding(self, embedding, model):
- self.word_embeddings[embedding.name] = embedding
-
- ids = model.cond_stage_model.tokenize([embedding.name])[0]
+ return self.register_embedding_by_name(embedding, model, embedding.name)
+ def register_embedding_by_name(self, embedding, model, name):
+ ids = model.cond_stage_model.tokenize([name])[0]
first_id = ids[0]
if first_id not in self.ids_lookup:
self.ids_lookup[first_id] = []
-
- self.ids_lookup[first_id] = sorted(self.ids_lookup[first_id] + [(ids, embedding)], key=lambda x: len(x[0]), reverse=True)
-
+ if name in self.word_embeddings:
+ # remove old one from the lookup list
+ lookup = [x for x in self.ids_lookup[first_id] if x[1].name!=name]
+ else:
+ lookup = self.ids_lookup[first_id]
+ if embedding is not None:
+ lookup += [(ids, embedding)]
+ self.ids_lookup[first_id] = sorted(lookup, key=lambda x: len(x[0]), reverse=True)
+ if embedding is None:
+ # unregister embedding with specified name
+ if name in self.word_embeddings:
+ del self.word_embeddings[name]
+ if len(self.ids_lookup[first_id])==0:
+ del self.ids_lookup[first_id]
+ return None
+ self.word_embeddings[name] = embedding
return embedding
def get_expected_shape(self):
@@ -207,8 +218,7 @@ class EmbeddingDatabase: self.load_from_file(fullfn, fn)
except Exception:
- print(f"Error loading embedding {fn}:", file=sys.stderr)
- print(traceback.format_exc(), file=sys.stderr)
+ errors.report(f"Error loading embedding {fn}", exc_info=True)
continue
def load_textual_inversion_embeddings(self, force_reload=False):
@@ -632,8 +642,7 @@ Last saved image: {html.escape(last_saved_image)}<br/> filename = os.path.join(shared.cmd_opts.embeddings_dir, f'{embedding_name}.pt')
save_embedding(embedding, optimizer, checkpoint, embedding_name, filename, remove_cached_checksum=True)
except Exception:
- print(traceback.format_exc(), file=sys.stderr)
- pass
+ errors.report("Error training embedding", exc_info=True)
finally:
pbar.leave = False
pbar.close()
diff --git a/modules/timer.py b/modules/timer.py index ba92be33..da99e49f 100644 --- a/modules/timer.py +++ b/modules/timer.py @@ -1,11 +1,30 @@ import time
+class TimerSubcategory:
+ def __init__(self, timer, category):
+ self.timer = timer
+ self.category = category
+ self.start = None
+ self.original_base_category = timer.base_category
+
+ def __enter__(self):
+ self.start = time.time()
+ self.timer.base_category = self.original_base_category + self.category + "/"
+
+ def __exit__(self, exc_type, exc_val, exc_tb):
+ elapsed_for_subcategroy = time.time() - self.start
+ self.timer.base_category = self.original_base_category
+ self.timer.add_time_to_record(self.original_base_category + self.category, elapsed_for_subcategroy)
+ self.timer.record(self.category)
+
+
class Timer:
def __init__(self):
self.start = time.time()
self.records = {}
self.total = 0
+ self.base_category = ''
def elapsed(self):
end = time.time()
@@ -13,18 +32,29 @@ class Timer: self.start = end
return res
- def record(self, category, extra_time=0):
- e = self.elapsed()
+ def add_time_to_record(self, category, amount):
if category not in self.records:
self.records[category] = 0
- self.records[category] += e + extra_time
+ self.records[category] += amount
+
+ def record(self, category, extra_time=0):
+ e = self.elapsed()
+
+ self.add_time_to_record(self.base_category + category, e + extra_time)
+
self.total += e + extra_time
+ def subcategory(self, name):
+ self.elapsed()
+
+ subcat = TimerSubcategory(self, name)
+ return subcat
+
def summary(self):
res = f"{self.total:.1f}s"
- additions = [x for x in self.records.items() if x[1] >= 0.1]
+ additions = [(category, time_taken) for category, time_taken in self.records.items() if time_taken >= 0.1 and '/' not in category]
if not additions:
return res
@@ -34,5 +64,13 @@ class Timer: return res
+ def dump(self):
+ return {'total': self.total, 'records': self.records}
+
def reset(self):
self.__init__()
+
+
+startup_timer = Timer()
+
+startup_record = None
diff --git a/modules/ui.py b/modules/ui.py index 361f596e..988b2003 100644 --- a/modules/ui.py +++ b/modules/ui.py @@ -2,20 +2,21 @@ import json import mimetypes
import os
import sys
-import traceback
from functools import reduce
import warnings
import gradio as gr
-import gradio.routes
import gradio.utils
import numpy as np
from PIL import Image, PngImagePlugin # noqa: F401
from modules.call_queue import wrap_gradio_gpu_call, wrap_queued_call, wrap_gradio_call
-from modules import sd_hijack, sd_models, localization, script_callbacks, ui_extensions, deepbooru, sd_vae, extra_networks, ui_common, ui_postprocessing, progress, ui_loadsave
+from modules import sd_hijack, sd_models, script_callbacks, ui_extensions, deepbooru, sd_vae, extra_networks, ui_common, ui_postprocessing, progress, ui_loadsave, errors, shared_items, ui_settings, timer
from modules.ui_components import FormRow, FormGroup, ToolButton, FormHTML
-from modules.paths import script_path, data_path
+from modules.paths import script_path
+from modules.ui_common import create_refresh_button
+from modules.ui_gradio_extensions import reload_javascript
+
from modules.shared import opts, cmd_opts
@@ -35,6 +36,8 @@ import modules.hypernetworks.ui from modules.generation_parameters_copypaste import image_from_url_text
import modules.extras
+create_setting_component = ui_settings.create_setting_component
+
warnings.filterwarnings("default" if opts.show_warnings else "ignore", category=UserWarning)
# this is a fix for Windows users. Without it, javascript files will be served with text/html content-type and the browser will not show any UI
@@ -76,6 +79,7 @@ extra_networks_symbol = '\U0001F3B4' # 🎴 switch_values_symbol = '\U000021C5' # ⇅
restore_progress_symbol = '\U0001F300' # 🌀
detect_image_size_symbol = '\U0001F4D0' # 📐
+up_down_symbol = '\u2195\ufe0f' # ↕️
def plaintext_to_html(text):
@@ -231,9 +235,8 @@ def connect_reuse_seed(seed: gr.Number, reuse_seed: gr.Button, generation_info: res = all_seeds[index if 0 <= index < len(all_seeds) else 0]
except json.decoder.JSONDecodeError:
- if gen_info_string != '':
- print("Error parsing JSON generation info:", file=sys.stderr)
- print(gen_info_string, file=sys.stderr)
+ if gen_info_string:
+ errors.report(f"Error parsing JSON generation info: {gen_info_string}")
return [res, gr_show(False)]
@@ -368,25 +371,6 @@ def apply_setting(key, value): return getattr(opts, key)
-def create_refresh_button(refresh_component, refresh_method, refreshed_args, elem_id):
- def refresh():
- refresh_method()
- args = refreshed_args() if callable(refreshed_args) else refreshed_args
-
- for k, v in args.items():
- setattr(refresh_component, k, v)
-
- return gr.update(**(args or {}))
-
- refresh_button = ToolButton(value=refresh_symbol, elem_id=elem_id)
- refresh_button.click(
- fn=refresh,
- inputs=[],
- outputs=[refresh_component]
- )
- return refresh_button
-
-
def create_output_panel(tabname, outdir):
return ui_common.create_output_panel(tabname, outdir)
@@ -405,22 +389,12 @@ def create_sampler_and_steps_selection(choices, tabname): def ordered_ui_categories():
- user_order = {x.strip(): i * 2 + 1 for i, x in enumerate(shared.opts.ui_reorder.split(","))}
+ user_order = {x.strip(): i * 2 + 1 for i, x in enumerate(shared.opts.ui_reorder_list)}
- for _, category in sorted(enumerate(shared.ui_reorder_categories), key=lambda x: user_order.get(x[1], x[0] * 2 + 0)):
+ for _, category in sorted(enumerate(shared_items.ui_reorder_categories()), key=lambda x: user_order.get(x[1], x[0] * 2 + 0)):
yield category
-def get_value_for_setting(key):
- value = getattr(opts, key)
-
- info = opts.data_labels[key]
- args = info.component_args() if callable(info.component_args) else info.component_args or {}
- args = {k: v for k, v in args.items() if k not in {'precision'}}
-
- return gr.update(value=value, **args)
-
-
def create_override_settings_dropdown(tabname, row):
dropdown = gr.Dropdown([], label="Override settings", visible=False, elem_id=f"{tabname}_override_settings", multiselect=True)
@@ -456,6 +430,8 @@ def create_ui(): with gr.Row().style(equal_height=False):
with gr.Column(variant='compact', elem_id="txt2img_settings"):
+ modules.scripts.scripts_txt2img.prepare_ui()
+
for category in ordered_ui_categories():
if category == "sampler":
steps, sampler_index = create_sampler_and_steps_selection(samplers, "txt2img")
@@ -524,6 +500,9 @@ def create_ui(): with FormGroup(elem_id="txt2img_script_container"):
custom_inputs = modules.scripts.scripts_txt2img.setup_ui()
+ else:
+ modules.scripts.scripts_txt2img.setup_ui_for_section(category)
+
hr_resolution_preview_inputs = [enable_hr, width, height, hr_scale, hr_resize_x, hr_resize_y]
for component in hr_resolution_preview_inputs:
@@ -616,7 +595,8 @@ def create_ui(): outputs=[
txt2img_prompt,
txt_prompt_img
- ]
+ ],
+ show_progress=False,
)
enable_hr.change(
@@ -779,6 +759,8 @@ def create_ui(): with FormRow():
resize_mode = gr.Radio(label="Resize mode", elem_id="resize_mode", choices=["Just resize", "Crop and resize", "Resize and fill", "Just resize (latent upscale)"], type="index", value="Just resize")
+ modules.scripts.scripts_img2img.prepare_ui()
+
for category in ordered_ui_categories():
if category == "sampler":
steps, sampler_index = create_sampler_and_steps_selection(samplers_for_img2img, "img2img")
@@ -888,6 +870,8 @@ def create_ui(): inputs=[],
outputs=[inpaint_controls, mask_alpha],
)
+ else:
+ modules.scripts.scripts_img2img.setup_ui_for_section(category)
img2img_gallery, generation_info, html_info, html_log = create_output_panel("img2img", opts.outdir_img2img_samples)
@@ -902,7 +886,8 @@ def create_ui(): outputs=[
img2img_prompt,
img2img_prompt_img
- ]
+ ],
+ show_progress=False,
)
img2img_args = dict(
@@ -1460,195 +1445,10 @@ def create_ui(): outputs=[],
)
- def create_setting_component(key, is_quicksettings=False):
- def fun():
- return opts.data[key] if key in opts.data else opts.data_labels[key].default
-
- info = opts.data_labels[key]
- t = type(info.default)
-
- args = info.component_args() if callable(info.component_args) else info.component_args
-
- if info.component is not None:
- comp = info.component
- elif t == str:
- comp = gr.Textbox
- elif t == int:
- comp = gr.Number
- elif t == bool:
- comp = gr.Checkbox
- else:
- raise Exception(f'bad options item type: {t} for key {key}')
-
- elem_id = f"setting_{key}"
-
- if info.refresh is not None:
- if is_quicksettings:
- res = comp(label=info.label, value=fun(), elem_id=elem_id, **(args or {}))
- create_refresh_button(res, info.refresh, info.component_args, f"refresh_{key}")
- else:
- with FormRow():
- res = comp(label=info.label, value=fun(), elem_id=elem_id, **(args or {}))
- create_refresh_button(res, info.refresh, info.component_args, f"refresh_{key}")
- else:
- res = comp(label=info.label, value=fun(), elem_id=elem_id, **(args or {}))
-
- return res
-
loadsave = ui_loadsave.UiLoadsave(cmd_opts.ui_config_file)
- components = []
- component_dict = {}
- shared.settings_components = component_dict
-
- script_callbacks.ui_settings_callback()
- opts.reorder()
-
- def run_settings(*args):
- changed = []
-
- for key, value, comp in zip(opts.data_labels.keys(), args, components):
- assert comp == dummy_component or opts.same_type(value, opts.data_labels[key].default), f"Bad value for setting {key}: {value}; expecting {type(opts.data_labels[key].default).__name__}"
-
- for key, value, comp in zip(opts.data_labels.keys(), args, components):
- if comp == dummy_component:
- continue
-
- if opts.set(key, value):
- changed.append(key)
-
- try:
- opts.save(shared.config_filename)
- except RuntimeError:
- return opts.dumpjson(), f'{len(changed)} settings changed without save: {", ".join(changed)}.'
- return opts.dumpjson(), f'{len(changed)} settings changed{": " if len(changed) > 0 else ""}{", ".join(changed)}.'
-
- def run_settings_single(value, key):
- if not opts.same_type(value, opts.data_labels[key].default):
- return gr.update(visible=True), opts.dumpjson()
-
- if not opts.set(key, value):
- return gr.update(value=getattr(opts, key)), opts.dumpjson()
-
- opts.save(shared.config_filename)
-
- return get_value_for_setting(key), opts.dumpjson()
-
- with gr.Blocks(analytics_enabled=False) as settings_interface:
- with gr.Row():
- with gr.Column(scale=6):
- settings_submit = gr.Button(value="Apply settings", variant='primary', elem_id="settings_submit")
- with gr.Column():
- restart_gradio = gr.Button(value='Reload UI', variant='primary', elem_id="settings_restart_gradio")
-
- result = gr.HTML(elem_id="settings_result")
-
- quicksettings_names = opts.quicksettings_list
- quicksettings_names = {x: i for i, x in enumerate(quicksettings_names) if x != 'quicksettings'}
-
- quicksettings_list = []
-
- previous_section = None
- current_tab = None
- current_row = None
- with gr.Tabs(elem_id="settings"):
- for i, (k, item) in enumerate(opts.data_labels.items()):
- section_must_be_skipped = item.section[0] is None
-
- if previous_section != item.section and not section_must_be_skipped:
- elem_id, text = item.section
-
- if current_tab is not None:
- current_row.__exit__()
- current_tab.__exit__()
-
- gr.Group()
- current_tab = gr.TabItem(elem_id=f"settings_{elem_id}", label=text)
- current_tab.__enter__()
- current_row = gr.Column(variant='compact')
- current_row.__enter__()
-
- previous_section = item.section
-
- if k in quicksettings_names and not shared.cmd_opts.freeze_settings:
- quicksettings_list.append((i, k, item))
- components.append(dummy_component)
- elif section_must_be_skipped:
- components.append(dummy_component)
- else:
- component = create_setting_component(k)
- component_dict[k] = component
- components.append(component)
-
- if current_tab is not None:
- current_row.__exit__()
- current_tab.__exit__()
-
- with gr.TabItem("Defaults", id="defaults", elem_id="settings_tab_defaults"):
- loadsave.create_ui()
-
- with gr.TabItem("Actions", id="actions", elem_id="settings_tab_actions"):
- request_notifications = gr.Button(value='Request browser notifications', elem_id="request_notifications")
- download_localization = gr.Button(value='Download localization template', elem_id="download_localization")
- reload_script_bodies = gr.Button(value='Reload custom script bodies (No ui updates, No restart)', variant='secondary', elem_id="settings_reload_script_bodies")
- with gr.Row():
- unload_sd_model = gr.Button(value='Unload SD checkpoint to free VRAM', elem_id="sett_unload_sd_model")
- reload_sd_model = gr.Button(value='Reload the last SD checkpoint back into VRAM', elem_id="sett_reload_sd_model")
-
- with gr.TabItem("Licenses", id="licenses", elem_id="settings_tab_licenses"):
- gr.HTML(shared.html("licenses.html"), elem_id="licenses")
-
- gr.Button(value="Show all pages", elem_id="settings_show_all_pages")
-
-
- def unload_sd_weights():
- modules.sd_models.unload_model_weights()
-
- def reload_sd_weights():
- modules.sd_models.reload_model_weights()
-
- unload_sd_model.click(
- fn=unload_sd_weights,
- inputs=[],
- outputs=[]
- )
-
- reload_sd_model.click(
- fn=reload_sd_weights,
- inputs=[],
- outputs=[]
- )
-
- request_notifications.click(
- fn=lambda: None,
- inputs=[],
- outputs=[],
- _js='function(){}'
- )
-
- download_localization.click(
- fn=lambda: None,
- inputs=[],
- outputs=[],
- _js='download_localization'
- )
-
- def reload_scripts():
- modules.scripts.reload_script_body_only()
- reload_javascript() # need to refresh the html page
-
- reload_script_bodies.click(
- fn=reload_scripts,
- inputs=[],
- outputs=[]
- )
-
- restart_gradio.click(
- fn=shared.state.request_restart,
- _js='restart_reload',
- inputs=[],
- outputs=[],
- )
+ settings = ui_settings.UiSettings()
+ settings.create_ui(loadsave, dummy_component)
interfaces = [
(txt2img_interface, "txt2img", "txt2img"),
@@ -1660,7 +1460,7 @@ def create_ui(): ]
interfaces += script_callbacks.ui_tabs_callback()
- interfaces += [(settings_interface, "Settings", "settings")]
+ interfaces += [(settings.interface, "Settings", "settings")]
extensions_interface = ui_extensions.create_ui()
interfaces += [(extensions_interface, "Extensions", "extensions")]
@@ -1670,10 +1470,7 @@ def create_ui(): shared.tab_names.append(label)
with gr.Blocks(theme=shared.gradio_theme, analytics_enabled=False, title="Stable Diffusion") as demo:
- with gr.Row(elem_id="quicksettings", variant="compact"):
- for _i, k, _item in sorted(quicksettings_list, key=lambda x: quicksettings_names.get(x[1], x[0])):
- component = create_setting_component(k, is_quicksettings=True)
- component_dict[k] = component
+ settings.add_quicksettings()
parameters_copypaste.connect_paste_params_buttons()
@@ -1704,55 +1501,17 @@ def create_ui(): footer = footer.format(versions=versions_html())
gr.HTML(footer, elem_id="footer")
- text_settings = gr.Textbox(elem_id="settings_json", value=lambda: opts.dumpjson(), visible=False)
- settings_submit.click(
- fn=wrap_gradio_call(run_settings, extra_outputs=[gr.update()]),
- inputs=components,
- outputs=[text_settings, result],
- )
-
- for _i, k, _item in quicksettings_list:
- component = component_dict[k]
- info = opts.data_labels[k]
-
- change_handler = component.release if hasattr(component, 'release') else component.change
- change_handler(
- fn=lambda value, k=k: run_settings_single(value, key=k),
- inputs=[component],
- outputs=[component, text_settings],
- show_progress=info.refresh is not None,
- )
+ settings.add_functionality(demo)
update_image_cfg_scale_visibility = lambda: gr.update(visible=shared.sd_model and shared.sd_model.cond_stage_key == "edit")
- text_settings.change(fn=update_image_cfg_scale_visibility, inputs=[], outputs=[image_cfg_scale])
+ settings.text_settings.change(fn=update_image_cfg_scale_visibility, inputs=[], outputs=[image_cfg_scale])
demo.load(fn=update_image_cfg_scale_visibility, inputs=[], outputs=[image_cfg_scale])
- button_set_checkpoint = gr.Button('Change checkpoint', elem_id='change_checkpoint', visible=False)
- button_set_checkpoint.click(
- fn=lambda value, _: run_settings_single(value, key='sd_model_checkpoint'),
- _js="function(v){ var res = desiredCheckpointName; desiredCheckpointName = ''; return [res || v, null]; }",
- inputs=[component_dict['sd_model_checkpoint'], dummy_component],
- outputs=[component_dict['sd_model_checkpoint'], text_settings],
- )
-
- component_keys = [k for k in opts.data_labels.keys() if k in component_dict]
-
- def get_settings_values():
- return [get_value_for_setting(key) for key in component_keys]
-
- demo.load(
- fn=get_settings_values,
- inputs=[],
- outputs=[component_dict[k] for k in component_keys],
- queue=False,
- )
-
def modelmerger(*args):
try:
results = modules.extras.run_modelmerger(*args)
except Exception as e:
- print("Error loading/saving model file:", file=sys.stderr)
- print(traceback.format_exc(), file=sys.stderr)
+ errors.report("Error loading/saving model file", exc_info=True)
modules.sd_models.list_models() # to remove the potentially missing models from the list
return [*[gr.Dropdown.update(choices=modules.sd_models.checkpoint_tiles()) for _ in range(4)], f"Error merging checkpoints: {e}"]
return results
@@ -1780,7 +1539,7 @@ def create_ui(): primary_model_name,
secondary_model_name,
tertiary_model_name,
- component_dict['sd_model_checkpoint'],
+ settings.component_dict['sd_model_checkpoint'],
modelmerger_result,
]
)
@@ -1794,70 +1553,6 @@ def create_ui(): return demo
-def webpath(fn):
- if fn.startswith(script_path):
- web_path = os.path.relpath(fn, script_path).replace('\\', '/')
- else:
- web_path = os.path.abspath(fn)
-
- return f'file={web_path}?{os.path.getmtime(fn)}'
-
-
-def javascript_html():
- # Ensure localization is in `window` before scripts
- head = f'<script type="text/javascript">{localization.localization_js(shared.opts.localization)}</script>\n'
-
- script_js = os.path.join(script_path, "script.js")
- head += f'<script type="text/javascript" src="{webpath(script_js)}"></script>\n'
-
- for script in modules.scripts.list_scripts("javascript", ".js"):
- head += f'<script type="text/javascript" src="{webpath(script.path)}"></script>\n'
-
- for script in modules.scripts.list_scripts("javascript", ".mjs"):
- head += f'<script type="module" src="{webpath(script.path)}"></script>\n'
-
- if cmd_opts.theme:
- head += f'<script type="text/javascript">set_theme(\"{cmd_opts.theme}\");</script>\n'
-
- return head
-
-
-def css_html():
- head = ""
-
- def stylesheet(fn):
- return f'<link rel="stylesheet" property="stylesheet" href="{webpath(fn)}">'
-
- for cssfile in modules.scripts.list_files_with_name("style.css"):
- if not os.path.isfile(cssfile):
- continue
-
- head += stylesheet(cssfile)
-
- if os.path.exists(os.path.join(data_path, "user.css")):
- head += stylesheet(os.path.join(data_path, "user.css"))
-
- return head
-
-
-def reload_javascript():
- js = javascript_html()
- css = css_html()
-
- def template_response(*args, **kwargs):
- res = shared.GradioTemplateResponseOriginal(*args, **kwargs)
- res.body = res.body.replace(b'</head>', f'{js}</head>'.encode("utf8"))
- res.body = res.body.replace(b'</body>', f'{css}</body>'.encode("utf8"))
- res.init_headers()
- return res
-
- gradio.routes.templates.TemplateResponse = template_response
-
-
-if not hasattr(shared, 'GradioTemplateResponseOriginal'):
- shared.GradioTemplateResponseOriginal = gradio.routes.templates.TemplateResponse
-
-
def versions_html():
import torch
import launch
@@ -1901,3 +1596,5 @@ def setup_ui_api(app): app.add_api_route("/internal/quicksettings-hint", quicksettings_hint, methods=["GET"], response_model=List[QuicksettingsHint])
app.add_api_route("/internal/ping", lambda: {}, methods=["GET"])
+
+ app.add_api_route("/internal/profile-startup", lambda: timer.startup_record, methods=["GET"])
diff --git a/modules/ui_common.py b/modules/ui_common.py index 27ab3ebb..57c2d0ad 100644 --- a/modules/ui_common.py +++ b/modules/ui_common.py @@ -10,8 +10,11 @@ import subprocess as sp from modules import call_queue, shared
from modules.generation_parameters_copypaste import image_from_url_text
import modules.images
+from modules.ui_components import ToolButton
+
folder_symbol = '\U0001f4c2' # 📂
+refresh_symbol = '\U0001f504' # 🔄
def update_generation_info(generation_info, html_info, img_index):
@@ -50,9 +53,10 @@ def save_files(js_data, images, do_make_zip, index): save_to_dirs = shared.opts.use_save_to_dirs_for_ui
extension: str = shared.opts.samples_format
start_index = 0
+ only_one = False
if index > -1 and shared.opts.save_selected_only and (index >= data["index_of_first_image"]): # ensures we are looking at a specific non-grid picture, and we have save_selected_only
-
+ only_one = True
images = [images[index]]
start_index = index
@@ -70,6 +74,7 @@ def save_files(js_data, images, do_make_zip, index): is_grid = image_index < p.index_of_first_image
i = 0 if is_grid else (image_index - p.index_of_first_image)
+ p.batch_index = image_index-1
fullfn, txt_fullfn = modules.images.save_image(image, path, "", seed=p.all_seeds[i], prompt=p.all_prompts[i], extension=extension, info=p.infotexts[image_index], grid=is_grid, p=p, save_to_dirs=save_to_dirs)
filename = os.path.relpath(fullfn, path)
@@ -83,7 +88,10 @@ def save_files(js_data, images, do_make_zip, index): # Make Zip
if do_make_zip:
- zip_filepath = os.path.join(path, "images.zip")
+ zip_fileseed = p.all_seeds[index-1] if only_one else p.all_seeds[0]
+ namegen = modules.images.FilenameGenerator(p, zip_fileseed, p.all_prompts[0], image, True)
+ zip_filename = namegen.apply(shared.opts.grid_zip_filename_pattern or "[datetime]_[[model_name]]_[seed]-[seed_last]")
+ zip_filepath = os.path.join(path, f"{zip_filename}.zip")
from zipfile import ZipFile
with ZipFile(zip_filepath, "w") as zip_file:
@@ -211,3 +219,23 @@ Requested path was: {f} ))
return result_gallery, generation_info if tabname != "extras" else html_info_x, html_info, html_log
+
+
+def create_refresh_button(refresh_component, refresh_method, refreshed_args, elem_id):
+ def refresh():
+ refresh_method()
+ args = refreshed_args() if callable(refreshed_args) else refreshed_args
+
+ for k, v in args.items():
+ setattr(refresh_component, k, v)
+
+ return gr.update(**(args or {}))
+
+ refresh_button = ToolButton(value=refresh_symbol, elem_id=elem_id)
+ refresh_button.click(
+ fn=refresh,
+ inputs=[],
+ outputs=[refresh_component]
+ )
+ return refresh_button
+
diff --git a/modules/ui_extensions.py b/modules/ui_extensions.py index 515ec262..3140ed64 100644 --- a/modules/ui_extensions.py +++ b/modules/ui_extensions.py @@ -1,10 +1,8 @@ import json
import os.path
-import sys
import threading
import time
from datetime import datetime
-import traceback
import git
@@ -13,7 +11,7 @@ import html import shutil
import errno
-from modules import extensions, shared, paths, config_states
+from modules import extensions, shared, paths, config_states, errors
from modules.paths_internal import config_states_dir
from modules.call_queue import wrap_gradio_gpu_call
@@ -46,8 +44,7 @@ def apply_and_restart(disable_list, update_list, disable_all): try:
ext.fetch_and_reset_hard()
except Exception:
- print(f"Error getting updates for {ext.name}:", file=sys.stderr)
- print(traceback.format_exc(), file=sys.stderr)
+ errors.report(f"Error getting updates for {ext.name}", exc_info=True)
shared.opts.disabled_extensions = disabled
shared.opts.disable_all_extensions = disable_all
@@ -113,8 +110,7 @@ def check_updates(id_task, disable_list): if 'FETCH_HEAD' not in str(e):
raise
except Exception:
- print(f"Error checking updates for {ext.name}:", file=sys.stderr)
- print(traceback.format_exc(), file=sys.stderr)
+ errors.report(f"Error checking updates for {ext.name}", exc_info=True)
shared.state.nextjob()
@@ -490,8 +486,14 @@ def refresh_available_extensions_from_data(hide_tags, sort_column, filter_text=" def preload_extensions_git_metadata():
+ t0 = time.time()
for extension in extensions.extensions:
extension.read_info_from_repo()
+ print(
+ f"preload_extensions_git_metadata for "
+ f"{len(extensions.extensions)} extensions took "
+ f"{time.time() - t0:.2f}s"
+ )
def create_ui():
diff --git a/modules/ui_extra_networks.py b/modules/ui_extra_networks.py index 19fbaae5..a7d3bc79 100644 --- a/modules/ui_extra_networks.py +++ b/modules/ui_extra_networks.py @@ -4,6 +4,7 @@ from pathlib import Path from modules import shared
from modules.images import read_info_from_image, save_image_with_geninfo
+from modules.ui import up_down_symbol
import gradio as gr
import json
import html
@@ -185,6 +186,8 @@ class ExtraNetworksPage: if search_only and shared.opts.extra_networks_hidden_models == "Never":
return ""
+ sort_keys = " ".join([html.escape(f'data-sort-{k}={v}') for k, v in item.get("sort_keys", {}).items()]).strip()
+
args = {
"background_image": background_image,
"style": f"'display: none; {height}{width}'",
@@ -198,10 +201,23 @@ class ExtraNetworksPage: "search_term": item.get("search_term", ""),
"metadata_button": metadata_button,
"search_only": " search_only" if search_only else "",
+ "sort_keys": sort_keys,
}
return self.card_page.format(**args)
+ def get_sort_keys(self, path):
+ """
+ List of default keys used for sorting in the UI.
+ """
+ pth = Path(path)
+ stat = pth.stat()
+ return {
+ "date_created": int(stat.st_ctime or 0),
+ "date_modified": int(stat.st_mtime or 0),
+ "name": pth.name.lower(),
+ }
+
def find_preview(self, path):
"""
Find a preview PNG for a given path (without extension) and call link_preview on it.
@@ -296,6 +312,8 @@ def create_ui(container, button, tabname): page_elem.change(fn=lambda: None, _js='function(){applyExtraNetworkFilter(' + json.dumps(tabname) + '); return []}', inputs=[], outputs=[])
gr.Textbox('', show_label=False, elem_id=tabname+"_extra_search", placeholder="Search...", visible=False)
+ gr.Dropdown(choices=['Default Sort', 'Date Created', 'Date Modified', 'Name'], value='Default Sort', elem_id=tabname+"_extra_sort", multiselect=False, visible=False, show_label=False, interactive=True)
+ gr.Button(up_down_symbol, elem_id=tabname+"_extra_sortorder")
button_refresh = gr.Button('Refresh', elem_id=tabname+"_extra_refresh")
ui.button_save_preview = gr.Button('Save preview', elem_id=tabname+"_save_preview", visible=False)
diff --git a/modules/ui_extra_networks_checkpoints.py b/modules/ui_extra_networks_checkpoints.py index a17aa9c9..8b9ab71b 100644 --- a/modules/ui_extra_networks_checkpoints.py +++ b/modules/ui_extra_networks_checkpoints.py @@ -14,7 +14,7 @@ class ExtraNetworksPageCheckpoints(ui_extra_networks.ExtraNetworksPage): def list_items(self):
checkpoint: sd_models.CheckpointInfo
- for name, checkpoint in sd_models.checkpoints_list.items():
+ for index, (name, checkpoint) in enumerate(sd_models.checkpoints_list.items()):
path, ext = os.path.splitext(checkpoint.filename)
yield {
"name": checkpoint.name_for_extra,
@@ -24,6 +24,8 @@ class ExtraNetworksPageCheckpoints(ui_extra_networks.ExtraNetworksPage): "search_term": self.search_terms_from_path(checkpoint.filename) + " " + (checkpoint.sha256 or ""),
"onclick": '"' + html.escape(f"""return selectCheckpoint({json.dumps(name)})""") + '"',
"local_preview": f"{path}.{shared.opts.samples_format}",
+ "sort_keys": {'default': index, **self.get_sort_keys(checkpoint.filename)},
+
}
def allowed_directories_for_previews(self):
diff --git a/modules/ui_extra_networks_hypernets.py b/modules/ui_extra_networks_hypernets.py index 6187e000..7c19b532 100644 --- a/modules/ui_extra_networks_hypernets.py +++ b/modules/ui_extra_networks_hypernets.py @@ -12,7 +12,7 @@ class ExtraNetworksPageHypernetworks(ui_extra_networks.ExtraNetworksPage): shared.reload_hypernetworks()
def list_items(self):
- for name, path in shared.hypernetworks.items():
+ for index, (name, path) in enumerate(shared.hypernetworks.items()):
path, ext = os.path.splitext(path)
yield {
@@ -23,6 +23,8 @@ class ExtraNetworksPageHypernetworks(ui_extra_networks.ExtraNetworksPage): "search_term": self.search_terms_from_path(path),
"prompt": json.dumps(f"<hypernet:{name}:") + " + opts.extra_networks_default_multiplier + " + json.dumps(">"),
"local_preview": f"{path}.preview.{shared.opts.samples_format}",
+ "sort_keys": {'default': index, **self.get_sort_keys(path + ext)},
+
}
def allowed_directories_for_previews(self):
diff --git a/modules/ui_extra_networks_textual_inversion.py b/modules/ui_extra_networks_textual_inversion.py index 6944d559..58a61c55 100644 --- a/modules/ui_extra_networks_textual_inversion.py +++ b/modules/ui_extra_networks_textual_inversion.py @@ -13,7 +13,7 @@ class ExtraNetworksPageTextualInversion(ui_extra_networks.ExtraNetworksPage): sd_hijack.model_hijack.embedding_db.load_textual_inversion_embeddings(force_reload=True)
def list_items(self):
- for embedding in sd_hijack.model_hijack.embedding_db.word_embeddings.values():
+ for index, embedding in enumerate(sd_hijack.model_hijack.embedding_db.word_embeddings.values()):
path, ext = os.path.splitext(embedding.filename)
yield {
"name": embedding.name,
@@ -23,6 +23,8 @@ class ExtraNetworksPageTextualInversion(ui_extra_networks.ExtraNetworksPage): "search_term": self.search_terms_from_path(embedding.filename),
"prompt": json.dumps(embedding.name),
"local_preview": f"{path}.preview.{shared.opts.samples_format}",
+ "sort_keys": {'default': index, **self.get_sort_keys(embedding.filename)},
+
}
def allowed_directories_for_previews(self):
diff --git a/modules/ui_gradio_extensions.py b/modules/ui_gradio_extensions.py new file mode 100644 index 00000000..b824b113 --- /dev/null +++ b/modules/ui_gradio_extensions.py @@ -0,0 +1,69 @@ +import os
+import gradio as gr
+
+from modules import localization, shared, scripts
+from modules.paths import script_path, data_path
+
+
+def webpath(fn):
+ if fn.startswith(script_path):
+ web_path = os.path.relpath(fn, script_path).replace('\\', '/')
+ else:
+ web_path = os.path.abspath(fn)
+
+ return f'file={web_path}?{os.path.getmtime(fn)}'
+
+
+def javascript_html():
+ # Ensure localization is in `window` before scripts
+ head = f'<script type="text/javascript">{localization.localization_js(shared.opts.localization)}</script>\n'
+
+ script_js = os.path.join(script_path, "script.js")
+ head += f'<script type="text/javascript" src="{webpath(script_js)}"></script>\n'
+
+ for script in scripts.list_scripts("javascript", ".js"):
+ head += f'<script type="text/javascript" src="{webpath(script.path)}"></script>\n'
+
+ for script in scripts.list_scripts("javascript", ".mjs"):
+ head += f'<script type="module" src="{webpath(script.path)}"></script>\n'
+
+ if shared.cmd_opts.theme:
+ head += f'<script type="text/javascript">set_theme(\"{shared.cmd_opts.theme}\");</script>\n'
+
+ return head
+
+
+def css_html():
+ head = ""
+
+ def stylesheet(fn):
+ return f'<link rel="stylesheet" property="stylesheet" href="{webpath(fn)}">'
+
+ for cssfile in scripts.list_files_with_name("style.css"):
+ if not os.path.isfile(cssfile):
+ continue
+
+ head += stylesheet(cssfile)
+
+ if os.path.exists(os.path.join(data_path, "user.css")):
+ head += stylesheet(os.path.join(data_path, "user.css"))
+
+ return head
+
+
+def reload_javascript():
+ js = javascript_html()
+ css = css_html()
+
+ def template_response(*args, **kwargs):
+ res = shared.GradioTemplateResponseOriginal(*args, **kwargs)
+ res.body = res.body.replace(b'</head>', f'{js}</head>'.encode("utf8"))
+ res.body = res.body.replace(b'</body>', f'{css}</body>'.encode("utf8"))
+ res.init_headers()
+ return res
+
+ gr.routes.templates.TemplateResponse = template_response
+
+
+if not hasattr(shared, 'GradioTemplateResponseOriginal'):
+ shared.GradioTemplateResponseOriginal = gr.routes.templates.TemplateResponse
diff --git a/modules/ui_settings.py b/modules/ui_settings.py new file mode 100644 index 00000000..7874298e --- /dev/null +++ b/modules/ui_settings.py @@ -0,0 +1,263 @@ +import gradio as gr
+
+from modules import ui_common, shared, script_callbacks, scripts, sd_models
+from modules.call_queue import wrap_gradio_call
+from modules.shared import opts
+from modules.ui_components import FormRow
+from modules.ui_gradio_extensions import reload_javascript
+
+
+def get_value_for_setting(key):
+ value = getattr(opts, key)
+
+ info = opts.data_labels[key]
+ args = info.component_args() if callable(info.component_args) else info.component_args or {}
+ args = {k: v for k, v in args.items() if k not in {'precision'}}
+
+ return gr.update(value=value, **args)
+
+
+def create_setting_component(key, is_quicksettings=False):
+ def fun():
+ return opts.data[key] if key in opts.data else opts.data_labels[key].default
+
+ info = opts.data_labels[key]
+ t = type(info.default)
+
+ args = info.component_args() if callable(info.component_args) else info.component_args
+
+ if info.component is not None:
+ comp = info.component
+ elif t == str:
+ comp = gr.Textbox
+ elif t == int:
+ comp = gr.Number
+ elif t == bool:
+ comp = gr.Checkbox
+ else:
+ raise Exception(f'bad options item type: {t} for key {key}')
+
+ elem_id = f"setting_{key}"
+
+ if info.refresh is not None:
+ if is_quicksettings:
+ res = comp(label=info.label, value=fun(), elem_id=elem_id, **(args or {}))
+ ui_common.create_refresh_button(res, info.refresh, info.component_args, f"refresh_{key}")
+ else:
+ with FormRow():
+ res = comp(label=info.label, value=fun(), elem_id=elem_id, **(args or {}))
+ ui_common.create_refresh_button(res, info.refresh, info.component_args, f"refresh_{key}")
+ else:
+ res = comp(label=info.label, value=fun(), elem_id=elem_id, **(args or {}))
+
+ return res
+
+
+class UiSettings:
+ submit = None
+ result = None
+ interface = None
+ components = None
+ component_dict = None
+ dummy_component = None
+ quicksettings_list = None
+ quicksettings_names = None
+ text_settings = None
+
+ def run_settings(self, *args):
+ changed = []
+
+ for key, value, comp in zip(opts.data_labels.keys(), args, self.components):
+ assert comp == self.dummy_component or opts.same_type(value, opts.data_labels[key].default), f"Bad value for setting {key}: {value}; expecting {type(opts.data_labels[key].default).__name__}"
+
+ for key, value, comp in zip(opts.data_labels.keys(), args, self.components):
+ if comp == self.dummy_component:
+ continue
+
+ if opts.set(key, value):
+ changed.append(key)
+
+ try:
+ opts.save(shared.config_filename)
+ except RuntimeError:
+ return opts.dumpjson(), f'{len(changed)} settings changed without save: {", ".join(changed)}.'
+ return opts.dumpjson(), f'{len(changed)} settings changed{": " if len(changed) > 0 else ""}{", ".join(changed)}.'
+
+ def run_settings_single(self, value, key):
+ if not opts.same_type(value, opts.data_labels[key].default):
+ return gr.update(visible=True), opts.dumpjson()
+
+ if not opts.set(key, value):
+ return gr.update(value=getattr(opts, key)), opts.dumpjson()
+
+ opts.save(shared.config_filename)
+
+ return get_value_for_setting(key), opts.dumpjson()
+
+ def create_ui(self, loadsave, dummy_component):
+ self.components = []
+ self.component_dict = {}
+ self.dummy_component = dummy_component
+
+ shared.settings_components = self.component_dict
+
+ script_callbacks.ui_settings_callback()
+ opts.reorder()
+
+ with gr.Blocks(analytics_enabled=False) as settings_interface:
+ with gr.Row():
+ with gr.Column(scale=6):
+ self.submit = gr.Button(value="Apply settings", variant='primary', elem_id="settings_submit")
+ with gr.Column():
+ restart_gradio = gr.Button(value='Reload UI', variant='primary', elem_id="settings_restart_gradio")
+
+ self.result = gr.HTML(elem_id="settings_result")
+
+ self.quicksettings_names = opts.quicksettings_list
+ self.quicksettings_names = {x: i for i, x in enumerate(self.quicksettings_names) if x != 'quicksettings'}
+
+ self.quicksettings_list = []
+
+ previous_section = None
+ current_tab = None
+ current_row = None
+ with gr.Tabs(elem_id="settings"):
+ for i, (k, item) in enumerate(opts.data_labels.items()):
+ section_must_be_skipped = item.section[0] is None
+
+ if previous_section != item.section and not section_must_be_skipped:
+ elem_id, text = item.section
+
+ if current_tab is not None:
+ current_row.__exit__()
+ current_tab.__exit__()
+
+ gr.Group()
+ current_tab = gr.TabItem(elem_id=f"settings_{elem_id}", label=text)
+ current_tab.__enter__()
+ current_row = gr.Column(variant='compact')
+ current_row.__enter__()
+
+ previous_section = item.section
+
+ if k in self.quicksettings_names and not shared.cmd_opts.freeze_settings:
+ self.quicksettings_list.append((i, k, item))
+ self.components.append(dummy_component)
+ elif section_must_be_skipped:
+ self.components.append(dummy_component)
+ else:
+ component = create_setting_component(k)
+ self.component_dict[k] = component
+ self.components.append(component)
+
+ if current_tab is not None:
+ current_row.__exit__()
+ current_tab.__exit__()
+
+ with gr.TabItem("Defaults", id="defaults", elem_id="settings_tab_defaults"):
+ loadsave.create_ui()
+
+ with gr.TabItem("Actions", id="actions", elem_id="settings_tab_actions"):
+ request_notifications = gr.Button(value='Request browser notifications', elem_id="request_notifications")
+ download_localization = gr.Button(value='Download localization template', elem_id="download_localization")
+ reload_script_bodies = gr.Button(value='Reload custom script bodies (No ui updates, No restart)', variant='secondary', elem_id="settings_reload_script_bodies")
+ with gr.Row():
+ unload_sd_model = gr.Button(value='Unload SD checkpoint to free VRAM', elem_id="sett_unload_sd_model")
+ reload_sd_model = gr.Button(value='Reload the last SD checkpoint back into VRAM', elem_id="sett_reload_sd_model")
+
+ with gr.TabItem("Licenses", id="licenses", elem_id="settings_tab_licenses"):
+ gr.HTML(shared.html("licenses.html"), elem_id="licenses")
+
+ gr.Button(value="Show all pages", elem_id="settings_show_all_pages")
+
+ self.text_settings = gr.Textbox(elem_id="settings_json", value=lambda: opts.dumpjson(), visible=False)
+
+ unload_sd_model.click(
+ fn=sd_models.unload_model_weights,
+ inputs=[],
+ outputs=[]
+ )
+
+ reload_sd_model.click(
+ fn=sd_models.reload_model_weights,
+ inputs=[],
+ outputs=[]
+ )
+
+ request_notifications.click(
+ fn=lambda: None,
+ inputs=[],
+ outputs=[],
+ _js='function(){}'
+ )
+
+ download_localization.click(
+ fn=lambda: None,
+ inputs=[],
+ outputs=[],
+ _js='download_localization'
+ )
+
+ def reload_scripts():
+ scripts.reload_script_body_only()
+ reload_javascript() # need to refresh the html page
+
+ reload_script_bodies.click(
+ fn=reload_scripts,
+ inputs=[],
+ outputs=[]
+ )
+
+ restart_gradio.click(
+ fn=shared.state.request_restart,
+ _js='restart_reload',
+ inputs=[],
+ outputs=[],
+ )
+
+ self.interface = settings_interface
+
+ def add_quicksettings(self):
+ with gr.Row(elem_id="quicksettings", variant="compact"):
+ for _i, k, _item in sorted(self.quicksettings_list, key=lambda x: self.quicksettings_names.get(x[1], x[0])):
+ component = create_setting_component(k, is_quicksettings=True)
+ self.component_dict[k] = component
+
+ def add_functionality(self, demo):
+ self.submit.click(
+ fn=wrap_gradio_call(lambda *args: self.run_settings(*args), extra_outputs=[gr.update()]),
+ inputs=self.components,
+ outputs=[self.text_settings, self.result],
+ )
+
+ for _i, k, _item in self.quicksettings_list:
+ component = self.component_dict[k]
+ info = opts.data_labels[k]
+
+ change_handler = component.release if hasattr(component, 'release') else component.change
+ change_handler(
+ fn=lambda value, k=k: self.run_settings_single(value, key=k),
+ inputs=[component],
+ outputs=[component, self.text_settings],
+ show_progress=info.refresh is not None,
+ )
+
+ button_set_checkpoint = gr.Button('Change checkpoint', elem_id='change_checkpoint', visible=False)
+ button_set_checkpoint.click(
+ fn=lambda value, _: self.run_settings_single(value, key='sd_model_checkpoint'),
+ _js="function(v){ var res = desiredCheckpointName; desiredCheckpointName = ''; return [res || v, null]; }",
+ inputs=[self.component_dict['sd_model_checkpoint'], self.dummy_component],
+ outputs=[self.component_dict['sd_model_checkpoint'], self.text_settings],
+ )
+
+ component_keys = [k for k in opts.data_labels.keys() if k in self.component_dict]
+
+ def get_settings_values():
+ return [get_value_for_setting(key) for key in component_keys]
+
+ demo.load(
+ fn=get_settings_values,
+ inputs=[],
+ outputs=[self.component_dict[k] for k in component_keys],
+ queue=False,
+ )
diff --git a/modules/upscaler.py b/modules/upscaler.py index 7b1046d6..3c82861d 100644 --- a/modules/upscaler.py +++ b/modules/upscaler.py @@ -53,8 +53,8 @@ class Upscaler: def upscale(self, img: PIL.Image, scale, selected_model: str = None): self.scale = scale - dest_w = int(img.width * scale) - dest_h = int(img.height * scale) + dest_w = round((img.width * scale - 4) / 8) * 8 + dest_h = round((img.height * scale - 4) / 8) * 8 for _ in range(3): shape = (img.width, img.height) diff --git a/requirements.txt b/requirements.txt index 34e4520d..3142085e 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,32 +1,32 @@ -astunparse
-blendmodes
+GitPython
+Pillow
accelerate
+
basicsr
+blendmodes
+clean-fid
+einops
gfpgan
-gradio==3.31.0
+gradio==3.32.0
+inflection
+jsonmerge
+kornia
+lark
numpy
omegaconf
-opencv-contrib-python
-requests
+
piexif
-Pillow
-pytorch_lightning==1.7.7
+psutil
+pytorch_lightning
realesrgan
+requests
+resize-right
+
+safetensors
scikit-image>=0.19
-timm==0.4.12
-transformers==4.25.1
+timm
+tomesd
torch
-einops
-jsonmerge
-clean-fid
-resize-right
torchdiffeq
-kornia
-lark
-inflection
-GitPython
torchsde
-safetensors
-psutil
-rich
-tomesd
+transformers==4.25.1
diff --git a/requirements_versions.txt b/requirements_versions.txt index de501fda..f71b9d6c 100644 --- a/requirements_versions.txt +++ b/requirements_versions.txt @@ -1,29 +1,30 @@ -blendmodes==2022
-transformers==4.25.1
+GitPython==3.1.30
+Pillow==9.5.0
accelerate==0.18.0
basicsr==1.4.2
+blendmodes==2022
+clean-fid==0.1.35
+einops==0.4.1
+fastapi==0.94.0
gfpgan==1.3.8
-gradio==3.31.0
+gradio==3.32.0
+httpcore<=0.15
+inflection==0.5.1
+jsonmerge==1.8.0
+kornia==0.6.7
+lark==1.1.2
numpy==1.23.5
-Pillow==9.5.0
-realesrgan==0.3.0
-torch
omegaconf==2.2.3
+piexif==1.1.3
+psutil~=5.9.5
pytorch_lightning==1.9.4
+realesrgan==0.3.0
+resize-right==0.0.2
+safetensors==0.3.1
scikit-image==0.20.0
timm==0.6.7
-piexif==1.1.3
-einops==0.4.1
-jsonmerge==1.8.0
-clean-fid==0.1.35
-resize-right==0.0.2
+tomesd==0.1.2
+torch
torchdiffeq==0.2.3
-kornia==0.6.7
-lark==1.1.2
-inflection==0.5.1
-GitPython==3.1.30
torchsde==0.2.5
-safetensors==0.3.1
-httpcore<=0.15
-fastapi==0.94.0
-tomesd==0.1.2
+transformers==4.25.1
@@ -10,44 +10,94 @@ function gradioApp() { return elem.shadowRoot ? elem.shadowRoot : elem; } +/** + * Get the currently selected top-level UI tab button (e.g. the button that says "Extras"). + */ function get_uiCurrentTab() { - return gradioApp().querySelector('#tabs button.selected'); + return gradioApp().querySelector('#tabs > .tab-nav > button.selected'); } +/** + * Get the first currently visible top-level UI tab content (e.g. the div hosting the "txt2img" UI). + */ function get_uiCurrentTabContent() { - return gradioApp().querySelector('.tabitem[id^=tab_]:not([style*="display: none"])'); + return gradioApp().querySelector('#tabs > .tabitem[id^=tab_]:not([style*="display: none"])'); } var uiUpdateCallbacks = []; +var uiAfterUpdateCallbacks = []; var uiLoadedCallbacks = []; var uiTabChangeCallbacks = []; var optionsChangedCallbacks = []; +var uiAfterUpdateTimeout = null; var uiCurrentTab = null; +/** + * Register callback to be called at each UI update. + * The callback receives an array of MutationRecords as an argument. + */ function onUiUpdate(callback) { uiUpdateCallbacks.push(callback); } + +/** + * Register callback to be called soon after UI updates. + * The callback receives no arguments. + * + * This is preferred over `onUiUpdate` if you don't need + * access to the MutationRecords, as your function will + * not be called quite as often. + */ +function onAfterUiUpdate(callback) { + uiAfterUpdateCallbacks.push(callback); +} + +/** + * Register callback to be called when the UI is loaded. + * The callback receives no arguments. + */ function onUiLoaded(callback) { uiLoadedCallbacks.push(callback); } + +/** + * Register callback to be called when the UI tab is changed. + * The callback receives no arguments. + */ function onUiTabChange(callback) { uiTabChangeCallbacks.push(callback); } + +/** + * Register callback to be called when the options are changed. + * The callback receives no arguments. + * @param callback + */ function onOptionsChanged(callback) { optionsChangedCallbacks.push(callback); } -function runCallback(x, m) { - try { - x(m); - } catch (e) { - (console.error || console.log).call(console, e.message, e); +function executeCallbacks(queue, arg) { + for (const callback of queue) { + try { + callback(arg); + } catch (e) { + console.error("error running callback", callback, ":", e); + } } } -function executeCallbacks(queue, m) { - queue.forEach(function(x) { - runCallback(x, m); - }); + +/** + * Schedule the execution of the callbacks registered with onAfterUiUpdate. + * The callbacks are executed after a short while, unless another call to this function + * is made before that time. IOW, the callbacks are executed only once, even + * when there are multiple mutations observed. + */ +function scheduleAfterUiUpdateCallbacks() { + clearTimeout(uiAfterUpdateTimeout); + uiAfterUpdateTimeout = setTimeout(function() { + executeCallbacks(uiAfterUpdateCallbacks); + }, 200); } var executedOnLoaded = false; @@ -60,6 +110,7 @@ document.addEventListener("DOMContentLoaded", function() { } executeCallbacks(uiUpdateCallbacks, m); + scheduleAfterUiUpdateCallbacks(); const newTab = get_uiCurrentTab(); if (newTab && (newTab !== uiCurrentTab)) { uiCurrentTab = newTab; diff --git a/scripts/prompts_from_file.py b/scripts/prompts_from_file.py index b918a764..83a2f220 100644 --- a/scripts/prompts_from_file.py +++ b/scripts/prompts_from_file.py @@ -1,13 +1,11 @@ import copy
import random
-import sys
-import traceback
import shlex
import modules.scripts as scripts
import gradio as gr
-from modules import sd_samplers
+from modules import sd_samplers, errors
from modules.processing import Processed, process_images
from modules.shared import state
@@ -136,8 +134,7 @@ class Script(scripts.Script): try:
args = cmdargs(line)
except Exception:
- print(f"Error parsing line {line} as commandline:", file=sys.stderr)
- print(traceback.format_exc(), file=sys.stderr)
+ errors.report(f"Error parsing line {line} as commandline", exc_info=True)
args = {"prompt": line}
else:
args = {"prompt": line}
diff --git a/scripts/xyz_grid.py b/scripts/xyz_grid.py index da820b39..7821cc65 100644 --- a/scripts/xyz_grid.py +++ b/scripts/xyz_grid.py @@ -10,7 +10,7 @@ import numpy as np import modules.scripts as scripts
import gradio as gr
-from modules import images, sd_samplers, processing, sd_models, sd_vae
+from modules import images, sd_samplers, processing, sd_models, sd_vae, sd_samplers_kdiffusion
from modules.processing import process_images, Processed, StableDiffusionProcessingTxt2Img
from modules.shared import opts, state
import modules.shared as shared
@@ -220,6 +220,10 @@ axis_options = [ AxisOption("Sigma min", float, apply_field("s_tmin")),
AxisOption("Sigma max", float, apply_field("s_tmax")),
AxisOption("Sigma noise", float, apply_field("s_noise")),
+ AxisOption("Schedule type", str, apply_override("k_sched_type"), choices=lambda: list(sd_samplers_kdiffusion.k_diffusion_scheduler)),
+ AxisOption("Schedule min sigma", float, apply_override("sigma_min")),
+ AxisOption("Schedule max sigma", float, apply_override("sigma_max")),
+ AxisOption("Schedule rho", float, apply_override("rho")),
AxisOption("Eta", float, apply_field("eta")),
AxisOption("Clip skip", int, apply_clip_skip),
AxisOption("Denoising", float, apply_field("denoising_strength")),
@@ -403,19 +403,29 @@ div#extras_scale_to_tab div.form{ margin: 0 1.2em;
}
-table.settings-value-table{
+table.popup-table{
background: white;
border-collapse: collapse;
margin: 1em;
border: 4px solid white;
}
-table.settings-value-table td{
+table.popup-table td{
padding: 0.4em;
border: 1px solid #ccc;
max-width: 36em;
}
+table.popup-table .muted{
+ color: #aaa;
+}
+
+table.popup-table .link{
+ text-decoration: underline;
+ cursor: pointer;
+ font-weight: bold;
+}
+
.ui-defaults-none{
color: #aaa !important;
}
@@ -724,12 +734,22 @@ footer { .extra-network-subdirs button{
margin: 0 0.15em;
}
-.extra-networks .tab-nav .search{
+.extra-networks .tab-nav .search,
+.extra-networks .tab-nav .sort,
+.extra-networks .tab-nav .sortorder{
display: inline-block;
- max-width: 16em;
margin: 0.3em;
align-self: center;
+}
+
+.extra-networks .tab-nav .search {
width: 16em;
+ max-width: 16em;
+}
+
+.extra-networks .tab-nav .sort {
+ width: 12em;
+ max-width: 12em;
}
#txt2img_extra_view, #img2img_extra_view {
diff --git a/webui-user.sh b/webui-user.sh index 49a426ff..70306c60 100644 --- a/webui-user.sh +++ b/webui-user.sh @@ -36,7 +36,6 @@ # Fixed git commits #export STABLE_DIFFUSION_COMMIT_HASH="" -#export TAMING_TRANSFORMERS_COMMIT_HASH="" #export CODEFORMER_COMMIT_HASH="" #export BLIP_COMMIT_HASH="" @@ -20,9 +20,9 @@ import logging logging.getLogger("xformers").addFilter(lambda record: 'A matching Triton is not available' not in record.getMessage())
-from modules import paths, timer, import_hook, errors # noqa: F401
+from modules import paths, timer, import_hook, errors, devices # noqa: F401
-startup_timer = timer.Timer()
+startup_timer = timer.startup_timer
import torch
import pytorch_lightning # noqa: F401 # pytorch_lightning should be imported after torch, but it re-enables warnings on import so import once to disable them
@@ -58,6 +58,7 @@ import modules.sd_hijack import modules.sd_hijack_optimizations
import modules.sd_models
import modules.sd_vae
+import modules.sd_unet
import modules.txt2img
import modules.script_callbacks
import modules.textual_inversion.textual_inversion
@@ -134,7 +135,7 @@ there are reports of issues with training tab on the latest version. Use --skip-version-check commandline argument to disable this check.
""".strip())
- expected_xformers_version = "0.0.17"
+ expected_xformers_version = "0.0.20"
if shared.xformers_available:
import xformers
@@ -271,8 +272,8 @@ def initialize_rest(*, reload_script_modules=False): localization.list_localizations(cmd_opts.localizations_dir)
- modules.scripts.load_scripts()
- startup_timer.record("load scripts")
+ with startup_timer.subcategory("load scripts"):
+ modules.scripts.load_scripts()
if reload_script_modules:
for module in [module for name, module in sys.modules.items() if name.startswith("modules.ui")]:
@@ -291,6 +292,9 @@ def initialize_rest(*, reload_script_modules=False): modules.sd_hijack.list_optimizers()
startup_timer.record("scripts list_optimizers")
+ modules.sd_unet.list_unets()
+ startup_timer.record("scripts list_unets")
+
def load_model():
"""
Accesses shared.sd_model property to load model.
@@ -306,6 +310,8 @@ def initialize_rest(*, reload_script_modules=False): Thread(target=load_model).start()
+ Thread(target=devices.first_time_calculation).start()
+
shared.reload_hypernetworks()
startup_timer.record("reload hypernetworks")
@@ -381,17 +387,6 @@ def webui(): gradio_auth_creds = list(get_gradio_auth_creds()) or None
- # this restores the missing /docs endpoint
- if launch_api and not hasattr(FastAPI, 'original_setup'):
- # TODO: replace this with `launch(app_kwargs=...)` if https://github.com/gradio-app/gradio/pull/4282 gets merged
- def fastapi_setup(self):
- self.docs_url = "/docs"
- self.redoc_url = "/redoc"
- self.original_setup()
-
- FastAPI.original_setup = FastAPI.setup
- FastAPI.setup = fastapi_setup
-
app, local_url, share_url = shared.demo.launch(
share=cmd_opts.share,
server_name=server_name,
@@ -404,6 +399,10 @@ def webui(): inbrowser=cmd_opts.autolaunch,
prevent_thread_lock=True,
allowed_paths=cmd_opts.gradio_allowed_path,
+ app_kwargs={
+ "docs_url": "/docs",
+ "redoc_url": "/redoc",
+ },
)
if cmd_opts.add_stop_route:
app.add_route("/_stop", stop_route, methods=["POST"])
@@ -429,9 +428,12 @@ def webui(): ui_extra_networks.add_pages_to_demo(app)
- modules.script_callbacks.app_started_callback(shared.demo, app)
- startup_timer.record("scripts app_started_callback")
+ startup_timer.record("add APIs")
+
+ with startup_timer.subcategory("app_started_callback"):
+ modules.script_callbacks.app_started_callback(shared.demo, app)
+ timer.startup_record = startup_timer.dump()
print(f"Startup time: {startup_timer.summary()}.")
if cmd_opts.subpath:
@@ -456,6 +458,7 @@ def webui(): # If we catch a keyboard interrupt, we want to stop the server and exit.
shared.demo.close()
break
+
print('Restarting UI...')
shared.demo.close()
time.sleep(0.5)
@@ -124,9 +124,12 @@ case "$gpu_info" in *) ;; esac -if echo "$gpu_info" | grep -q "AMD" && [[ -z "${TORCH_COMMAND}" ]] +if ! echo "$gpu_info" | grep -q "NVIDIA"; then - export TORCH_COMMAND="pip install torch==2.0.1+rocm5.4.2 torchvision==0.15.2+rocm5.4.2 --index-url https://download.pytorch.org/whl/rocm5.4.2" + if echo "$gpu_info" | grep -q "AMD" && [[ -z "${TORCH_COMMAND}" ]] + then + export TORCH_COMMAND="pip install torch==2.0.1+rocm5.4.2 torchvision==0.15.2+rocm5.4.2 --index-url https://download.pytorch.org/whl/rocm5.4.2" + fi fi for preq in "${GIT}" "${python_cmd}" @@ -190,7 +193,7 @@ fi # Try using TCMalloc on Linux prepare_tcmalloc() { if [[ "${OSTYPE}" == "linux"* ]] && [[ -z "${NO_TCMALLOC}" ]] && [[ -z "${LD_PRELOAD}" ]]; then - TCMALLOC="$(ldconfig -p | grep -Po "libtcmalloc.so.\d" | head -n 1)" + TCMALLOC="$(PATH=/usr/sbin:$PATH ldconfig -p | grep -Po "libtcmalloc(_minimal|)\.so\.\d" | head -n 1)" if [[ ! -z "${TCMALLOC}" ]]; then echo "Using TCMalloc: ${TCMALLOC}" export LD_PRELOAD="${TCMALLOC}" |