aboutsummaryrefslogtreecommitdiff
path: root/scripts
diff options
context:
space:
mode:
authorAUTOMATIC <16777216c@gmail.com>2023-01-16 17:36:56 +0300
committerAUTOMATIC <16777216c@gmail.com>2023-01-16 17:36:56 +0300
commit55947857f035040d00249f02b17e39370033a99b (patch)
tree096e7a18584464539c698f50b801ea9d2fa9f271 /scripts
parentd073637e104fa7256e0b0c546b5b83a16b881b8a (diff)
add a button for XY Plot to fill in available values for axes that support this
Diffstat (limited to 'scripts')
-rw-r--r--scripts/xy_grid.py101
1 files changed, 66 insertions, 35 deletions
diff --git a/scripts/xy_grid.py b/scripts/xy_grid.py
index e06c11cb..bf4ba92f 100644
--- a/scripts/xy_grid.py
+++ b/scripts/xy_grid.py
@@ -10,7 +10,7 @@ import numpy as np
import modules.scripts as scripts
import gradio as gr
-from modules import images, paths, sd_samplers, processing
+from modules import images, paths, sd_samplers, processing, sd_models, sd_vae
from modules.hypernetworks import hypernetwork
from modules.processing import process_images, Processed, StableDiffusionProcessingTxt2Img
from modules.shared import opts, cmd_opts, state
@@ -22,8 +22,9 @@ import glob
import os
import re
+from modules.ui_components import ToolButton
-up_down_arrow_symbol = "\u2195\ufe0f"
+fill_values_symbol = "\U0001f4d2" # 📒
def apply_field(field):
@@ -178,34 +179,49 @@ def str_permutations(x):
"""dummy function for specifying it in AxisOption's type when you want to get a list of permutations"""
return x
-AxisOption = namedtuple("AxisOption", ["label", "type", "apply", "format_value", "confirm", "cost"])
-AxisOptionImg2Img = namedtuple("AxisOptionImg2Img", ["label", "type", "apply", "format_value", "confirm", "cost"])
+
+class AxisOption:
+ def __init__(self, label, type, apply, format_value=format_value_add_label, confirm=None, cost=0.0, choices=None):
+ self.label = label
+ self.type = type
+ self.apply = apply
+ self.format_value = format_value
+ self.confirm = confirm
+ self.cost = cost
+ self.choices = choices
+ self.is_img2img = False
+
+
+class AxisOptionImg2Img(AxisOption):
+ def __init__(self, *args, **kwargs):
+ super().__init__(*args, **kwargs)
+ self.is_img2img = False
axis_options = [
- AxisOption("Nothing", str, do_nothing, format_nothing, None, 0),
- AxisOption("Seed", int, apply_field("seed"), format_value_add_label, None, 0),
- AxisOption("Var. seed", int, apply_field("subseed"), format_value_add_label, None, 0),
- AxisOption("Var. strength", float, apply_field("subseed_strength"), format_value_add_label, None, 0),
- AxisOption("Steps", int, apply_field("steps"), format_value_add_label, None, 0),
- AxisOption("CFG Scale", float, apply_field("cfg_scale"), format_value_add_label, None, 0),
- AxisOption("Prompt S/R", str, apply_prompt, format_value, None, 0),
- AxisOption("Prompt order", str_permutations, apply_order, format_value_join_list, None, 0),
- AxisOption("Sampler", str, apply_sampler, format_value, confirm_samplers, 0),
- AxisOption("Checkpoint name", str, apply_checkpoint, format_value, confirm_checkpoints, 1.0),
- AxisOption("Hypernetwork", str, apply_hypernetwork, format_value, confirm_hypernetworks, 0.2),
- AxisOption("Hypernet str.", float, apply_hypernetwork_strength, format_value_add_label, None, 0),
- AxisOption("Sigma Churn", float, apply_field("s_churn"), format_value_add_label, None, 0),
- AxisOption("Sigma min", float, apply_field("s_tmin"), format_value_add_label, None, 0),
- AxisOption("Sigma max", float, apply_field("s_tmax"), format_value_add_label, None, 0),
- AxisOption("Sigma noise", float, apply_field("s_noise"), format_value_add_label, None, 0),
- AxisOption("Eta", float, apply_field("eta"), format_value_add_label, None, 0),
- AxisOption("Clip skip", int, apply_clip_skip, format_value_add_label, None, 0),
- AxisOption("Denoising", float, apply_field("denoising_strength"), format_value_add_label, None, 0),
- AxisOption("Hires upscaler", str, apply_field("hr_upscaler"), format_value_add_label, None, 0),
- AxisOption("Cond. Image Mask Weight", float, apply_field("inpainting_mask_weight"), format_value_add_label, None, 0),
- AxisOption("VAE", str, apply_vae, format_value_add_label, None, 0.7),
- AxisOption("Styles", str, apply_styles, format_value_add_label, None, 0),
+ AxisOption("Nothing", str, do_nothing, format_value=format_nothing),
+ AxisOption("Seed", int, apply_field("seed")),
+ AxisOption("Var. seed", int, apply_field("subseed")),
+ AxisOption("Var. strength", float, apply_field("subseed_strength")),
+ AxisOption("Steps", int, apply_field("steps")),
+ AxisOption("CFG Scale", float, apply_field("cfg_scale")),
+ AxisOption("Prompt S/R", str, apply_prompt, format_value=format_value),
+ AxisOption("Prompt order", str_permutations, apply_order, format_value=format_value_join_list),
+ AxisOption("Sampler", str, apply_sampler, format_value=format_value, confirm=confirm_samplers, choices=lambda: [x.name for x in sd_samplers.samplers]),
+ AxisOption("Checkpoint name", str, apply_checkpoint, format_value=format_value, confirm=confirm_checkpoints, cost=1.0, choices=lambda: list(sd_models.checkpoints_list)),
+ AxisOption("Hypernetwork", str, apply_hypernetwork, format_value=format_value, confirm=confirm_hypernetworks, cost=0.2, choices=lambda: list(shared.hypernetworks)),
+ AxisOption("Hypernet str.", float, apply_hypernetwork_strength),
+ AxisOption("Sigma Churn", float, apply_field("s_churn")),
+ 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("Eta", float, apply_field("eta")),
+ AxisOption("Clip skip", int, apply_clip_skip),
+ AxisOption("Denoising", float, apply_field("denoising_strength")),
+ AxisOption("Hires upscaler", str, apply_field("hr_upscaler"), choices=lambda: [x.name for x in shared.sd_upscalers]),
+ AxisOption("Cond. Image Mask Weight", float, apply_field("inpainting_mask_weight")),
+ AxisOption("VAE", str, apply_vae, cost=0.7, choices=lambda: list(sd_vae.vae_dict)),
+ AxisOption("Styles", str, apply_styles, choices=lambda: list(shared.prompt_styles.styles)),
]
@@ -262,7 +278,7 @@ def draw_xy_grid(p, xs, ys, x_labels, y_labels, cell, draw_legend, include_lone_
if not processed_result:
print("Unexpected error: draw_xy_grid failed to return even a single processed image")
- return Processed()
+ return Processed(p, [])
grid = images.image_grid(image_cache, rows=len(ys))
if draw_legend:
@@ -302,23 +318,25 @@ class Script(scripts.Script):
return "X/Y plot"
def ui(self, is_img2img):
- current_axis_options = [x for x in axis_options if type(x) == AxisOption or type(x) == AxisOptionImg2Img and is_img2img]
+ current_axis_options = [x for x in axis_options if type(x) == AxisOption or x.is_img2img and is_img2img]
with gr.Row():
- with gr.Column(scale=1, elem_id="xy_grid_button_column"):
- swap_axes_button = gr.Button(value=up_down_arrow_symbol, elem_id="xy_grid_swap_axes")
with gr.Column(scale=19):
with gr.Row():
x_type = gr.Dropdown(label="X type", choices=[x.label for x in current_axis_options], value=current_axis_options[1].label, type="index", elem_id=self.elem_id("x_type"))
x_values = gr.Textbox(label="X values", lines=1, elem_id=self.elem_id("x_values"))
+ fill_x_button = ToolButton(value=fill_values_symbol, elem_id="xy_grid_fill_x_tool_button", visible=False)
with gr.Row():
y_type = gr.Dropdown(label="Y type", choices=[x.label for x in current_axis_options], value=current_axis_options[0].label, type="index", elem_id=self.elem_id("y_type"))
y_values = gr.Textbox(label="Y values", lines=1, elem_id=self.elem_id("y_values"))
-
- draw_legend = gr.Checkbox(label='Draw legend', value=True, elem_id=self.elem_id("draw_legend"))
- include_lone_images = gr.Checkbox(label='Include Separate Images', value=False, elem_id=self.elem_id("include_lone_images"))
- no_fixed_seeds = gr.Checkbox(label='Keep -1 for seeds', value=False, elem_id=self.elem_id("no_fixed_seeds"))
+ fill_y_button = ToolButton(value=fill_values_symbol, elem_id="xy_grid_fill_y_tool_button", visible=False)
+
+ with gr.Row(variant="compact"):
+ draw_legend = gr.Checkbox(label='Draw legend', value=True, elem_id=self.elem_id("draw_legend"))
+ include_lone_images = gr.Checkbox(label='Include Separate Images', value=False, elem_id=self.elem_id("include_lone_images"))
+ no_fixed_seeds = gr.Checkbox(label='Keep -1 for seeds', value=False, elem_id=self.elem_id("no_fixed_seeds"))
+ swap_axes_button = gr.Button(value="Swap axes", elem_id="xy_grid_swap_axes_button")
def swap_axes(x_type, x_values, y_type, y_values):
nonlocal current_axis_options
@@ -327,6 +345,19 @@ class Script(scripts.Script):
swap_args = [x_type, x_values, y_type, y_values]
swap_axes_button.click(swap_axes, inputs=swap_args, outputs=swap_args)
+ def fill(x_type):
+ axis = axis_options[x_type]
+ return ", ".join(axis.choices()) if axis.choices else gr.update()
+
+ fill_x_button.click(fn=fill, inputs=[x_type], outputs=[x_values])
+ fill_y_button.click(fn=fill, inputs=[y_type], outputs=[y_values])
+
+ def select_axis(x_type):
+ return gr.Button.update(visible=axis_options[x_type].choices is not None)
+
+ x_type.change(fn=select_axis, inputs=[x_type], outputs=[fill_x_button])
+ y_type.change(fn=select_axis, inputs=[y_type], outputs=[fill_y_button])
+
return [x_type, x_values, y_type, y_values, draw_legend, include_lone_images, no_fixed_seeds]
def run(self, p, x_type, x_values, y_type, y_values, draw_legend, include_lone_images, no_fixed_seeds):