diff options
| -rw-r--r-- | modules/api/api.py | 35 | ||||
| -rw-r--r-- | modules/api/models.py | 32 | ||||
| -rw-r--r-- | modules/extensions.py | 7 | ||||
| -rw-r--r-- | modules/hypernetworks/hypernetwork.py | 59 | ||||
| -rw-r--r-- | modules/hypernetworks/ui.py | 2 | ||||
| -rw-r--r-- | modules/shared.py | 11 | ||||
| -rw-r--r-- | modules/ui.py | 14 | ||||
| -rw-r--r-- | modules/ui_extensions.py | 2 | ||||
| -rw-r--r-- | webui.py | 29 |
9 files changed, 143 insertions, 48 deletions
diff --git a/modules/api/api.py b/modules/api/api.py index 8a7ab2f5..112000b8 100644 --- a/modules/api/api.py +++ b/modules/api/api.py @@ -10,6 +10,7 @@ from modules.api.models import * from modules.processing import StableDiffusionProcessingTxt2Img, StableDiffusionProcessingImg2Img, process_images from modules.sd_samplers import all_samplers from modules.extras import run_extras, run_pnginfo +from PIL import PngImagePlugin from modules.sd_models import checkpoints_list from modules.realesrgan_model import get_realesrgan_models from typing import List @@ -34,9 +35,21 @@ def setUpscalers(req: dict): def encode_pil_to_base64(image): - buffer = io.BytesIO() - image.save(buffer, format="png") - return base64.b64encode(buffer.getvalue()) + with io.BytesIO() as output_bytes: + + # Copy any text-only metadata + use_metadata = False + metadata = PngImagePlugin.PngInfo() + for key, value in image.info.items(): + if isinstance(key, str) and isinstance(value, str): + metadata.add_text(key, value) + use_metadata = True + + image.save( + output_bytes, "PNG", pnginfo=(metadata if use_metadata else None) + ) + bytes_data = output_bytes.getvalue() + return base64.b64encode(bytes_data) class Api: @@ -205,7 +218,7 @@ class Api: shared.state.interrupt() return {} - + def get_config(self): options = {} for key in shared.opts.data.keys(): @@ -214,9 +227,9 @@ class Api: options.update({key: shared.opts.data.get(key, shared.opts.data_labels.get(key).default)}) else: options.update({key: shared.opts.data.get(key, None)}) - + return options - + def set_config(self, req: OptionsModel): # currently req has all options fields even if you send a dict like { "send_seed": false }, which means it will # overwrite all options with default values. @@ -237,13 +250,13 @@ class Api: def get_upscalers(self): upscalers = [] - + for upscaler in shared.sd_upscalers: u = upscaler.scaler upscalers.append({"name":u.name, "model_name":u.model_name, "model_path":u.model_path, "model_url":u.model_url}) - + return upscalers - + def get_sd_models(self): return [{"title":x.title, "model_name":x.model_name, "hash":x.hash, "filename": x.filename, "config": x.config} for x in checkpoints_list.values()] @@ -255,11 +268,11 @@ class Api: def get_realesrgan_models(self): return [{"name":x.name,"path":x.data_path, "scale":x.scale} for x in get_realesrgan_models(None)] - + def get_promp_styles(self): styleList = [] for k in shared.prompt_styles.styles: - style = shared.prompt_styles.styles[k] + style = shared.prompt_styles.styles[k] styleList.append({"name":style[0], "prompt": style[1], "negative_prompr": style[2]}) return styleList diff --git a/modules/api/models.py b/modules/api/models.py index 2ae75f43..f89da1ff 100644 --- a/modules/api/models.py +++ b/modules/api/models.py @@ -1,11 +1,11 @@ import inspect from pydantic import BaseModel, Field, create_model -from typing import Any, Optional, Union +from typing import Any, Optional from typing_extensions import Literal from inflection import underscore from modules.processing import StableDiffusionProcessingTxt2Img, StableDiffusionProcessingImg2Img from modules.shared import sd_upscalers, opts, parser -from typing import List +from typing import Dict, List API_NOT_ALLOWED = [ "self", @@ -185,22 +185,22 @@ _options = vars(parser)['_option_string_actions'] for key in _options: if(_options[key].dest != 'help'): flag = _options[key] - _type = str - if(_options[key].default != None): _type = type(_options[key].default) + _type = str + if _options[key].default is not None: _type = type(_options[key].default) flags.update({flag.dest: (_type,Field(default=flag.default, description=flag.help))}) FlagsModel = create_model("Flags", **flags) class SamplerItem(BaseModel): name: str = Field(title="Name") - aliases: list[str] = Field(title="Aliases") - options: dict[str, str] = Field(title="Options") + aliases: List[str] = Field(title="Aliases") + options: Dict[str, str] = Field(title="Options") class UpscalerItem(BaseModel): name: str = Field(title="Name") - model_name: str | None = Field(title="Model Name") - model_path: str | None = Field(title="Path") - model_url: str | None = Field(title="URL") + model_name: Optional[str] = Field(title="Model Name") + model_path: Optional[str] = Field(title="Path") + model_url: Optional[str] = Field(title="URL") class SDModelItem(BaseModel): title: str = Field(title="Title") @@ -211,23 +211,23 @@ class SDModelItem(BaseModel): class HypernetworkItem(BaseModel): name: str = Field(title="Name") - path: str | None = Field(title="Path") + path: Optional[str] = Field(title="Path") class FaceRestorerItem(BaseModel): name: str = Field(title="Name") - cmd_dir: str | None = Field(title="Path") + cmd_dir: Optional[str] = Field(title="Path") class RealesrganItem(BaseModel): name: str = Field(title="Name") - path: str | None = Field(title="Path") - scale: int | None = Field(title="Scale") + path: Optional[str] = Field(title="Path") + scale: Optional[int] = Field(title="Scale") class PromptStyleItem(BaseModel): name: str = Field(title="Name") - prompt: str | None = Field(title="Prompt") - negative_prompt: str | None = Field(title="Negative Prompt") + prompt: Optional[str] = Field(title="Prompt") + negative_prompt: Optional[str] = Field(title="Negative Prompt") class ArtistItem(BaseModel): name: str = Field(title="Name") score: float = Field(title="Score") - category: str = Field(title="Category")
\ No newline at end of file + category: str = Field(title="Category") diff --git a/modules/extensions.py b/modules/extensions.py index 897af96e..8e0977fd 100644 --- a/modules/extensions.py +++ b/modules/extensions.py @@ -34,8 +34,11 @@ class Extension: if repo is None or repo.bare:
self.remote = None
else:
- self.remote = next(repo.remote().urls, None)
- self.status = 'unknown'
+ try:
+ self.remote = next(repo.remote().urls, None)
+ self.status = 'unknown'
+ except Exception:
+ self.remote = None
def list_files(self, subdir, extension):
from modules import scripts
diff --git a/modules/hypernetworks/hypernetwork.py b/modules/hypernetworks/hypernetwork.py index 6e1a10cf..7f182712 100644 --- a/modules/hypernetworks/hypernetwork.py +++ b/modules/hypernetworks/hypernetwork.py @@ -22,6 +22,8 @@ from collections import defaultdict, deque from statistics import stdev, mean
+optimizer_dict = {optim_name : cls_obj for optim_name, cls_obj in inspect.getmembers(torch.optim, inspect.isclass) if optim_name != "Optimizer"}
+
class HypernetworkModule(torch.nn.Module):
multiplier = 1.0
activation_dict = {
@@ -142,6 +144,8 @@ class Hypernetwork: self.use_dropout = use_dropout
self.activate_output = activate_output
self.last_layer_dropout = kwargs['last_layer_dropout'] if 'last_layer_dropout' in kwargs else True
+ self.optimizer_name = None
+ self.optimizer_state_dict = None
for size in enable_sizes or []:
self.layers[size] = (
@@ -163,6 +167,7 @@ class Hypernetwork: def save(self, filename):
state_dict = {}
+ optimizer_saved_dict = {}
for k, v in self.layers.items():
state_dict[k] = (v[0].state_dict(), v[1].state_dict())
@@ -178,8 +183,15 @@ class Hypernetwork: state_dict['sd_checkpoint_name'] = self.sd_checkpoint_name
state_dict['activate_output'] = self.activate_output
state_dict['last_layer_dropout'] = self.last_layer_dropout
-
+
+ if self.optimizer_name is not None:
+ optimizer_saved_dict['optimizer_name'] = self.optimizer_name
+
torch.save(state_dict, filename)
+ if shared.opts.save_optimizer_state and self.optimizer_state_dict:
+ optimizer_saved_dict['hash'] = sd_models.model_hash(filename)
+ optimizer_saved_dict['optimizer_state_dict'] = self.optimizer_state_dict
+ torch.save(optimizer_saved_dict, filename + '.optim')
def load(self, filename):
self.filename = filename
@@ -202,6 +214,18 @@ class Hypernetwork: print(f"Activate last layer is set to {self.activate_output}")
self.last_layer_dropout = state_dict.get('last_layer_dropout', False)
+ optimizer_saved_dict = torch.load(self.filename + '.optim', map_location = 'cpu') if os.path.exists(self.filename + '.optim') else {}
+ self.optimizer_name = optimizer_saved_dict.get('optimizer_name', 'AdamW')
+ print(f"Optimizer name is {self.optimizer_name}")
+ if sd_models.model_hash(filename) == optimizer_saved_dict.get('hash', None):
+ self.optimizer_state_dict = optimizer_saved_dict.get('optimizer_state_dict', None)
+ else:
+ self.optimizer_state_dict = None
+ if self.optimizer_state_dict:
+ print("Loaded existing optimizer from checkpoint")
+ else:
+ print("No saved optimizer exists in checkpoint")
+
for size, sd in state_dict.items():
if type(size) == int:
self.layers[size] = (
@@ -219,11 +243,11 @@ class Hypernetwork: def list_hypernetworks(path):
res = {}
- for filename in glob.iglob(os.path.join(path, '**/*.pt'), recursive=True):
+ for filename in sorted(glob.iglob(os.path.join(path, '**/*.pt'), recursive=True)):
name = os.path.splitext(os.path.basename(filename))[0]
# Prevent a hypothetical "None.pt" from being listed.
if name != "None":
- res[name] = filename
+ res[name + f"({sd_models.model_hash(filename)})"] = filename
return res
@@ -358,6 +382,7 @@ def train_hypernetwork(hypernetwork_name, learn_rate, batch_size, data_root, log shared.state.textinfo = "Initializing hypernetwork training..."
shared.state.job_count = steps
+ hypernetwork_name = hypernetwork_name.rsplit('(', 1)[0]
filename = os.path.join(shared.cmd_opts.hypernetwork_dir, f'{hypernetwork_name}.pt')
log_directory = os.path.join(log_directory, datetime.datetime.now().strftime("%Y-%m-%d"), hypernetwork_name)
@@ -404,8 +429,22 @@ def train_hypernetwork(hypernetwork_name, learn_rate, batch_size, data_root, log weights = hypernetwork.weights()
for weight in weights:
weight.requires_grad = True
- # if optimizer == "AdamW": or else Adam / AdamW / SGD, etc...
- optimizer = torch.optim.AdamW(weights, lr=scheduler.learn_rate)
+
+ # Here we use optimizer from saved HN, or we can specify as UI option.
+ if hypernetwork.optimizer_name in optimizer_dict:
+ optimizer = optimizer_dict[hypernetwork.optimizer_name](params=weights, lr=scheduler.learn_rate)
+ optimizer_name = hypernetwork.optimizer_name
+ else:
+ print(f"Optimizer type {hypernetwork.optimizer_name} is not defined!")
+ optimizer = torch.optim.AdamW(params=weights, lr=scheduler.learn_rate)
+ optimizer_name = 'AdamW'
+
+ if hypernetwork.optimizer_state_dict: # This line must be changed if Optimizer type can be different from saved optimizer.
+ try:
+ optimizer.load_state_dict(hypernetwork.optimizer_state_dict)
+ except RuntimeError as e:
+ print("Cannot resume from saved optimizer!")
+ print(e)
steps_without_grad = 0
@@ -467,7 +506,11 @@ def train_hypernetwork(hypernetwork_name, learn_rate, batch_size, data_root, log # Before saving, change name to match current checkpoint.
hypernetwork_name_every = f'{hypernetwork_name}-{steps_done}'
last_saved_file = os.path.join(hypernetwork_dir, f'{hypernetwork_name_every}.pt')
+ hypernetwork.optimizer_name = optimizer_name
+ if shared.opts.save_optimizer_state:
+ hypernetwork.optimizer_state_dict = optimizer.state_dict()
save_hypernetwork(hypernetwork, checkpoint, hypernetwork_name, last_saved_file)
+ hypernetwork.optimizer_state_dict = None # dereference it after saving, to save memory.
textual_inversion.write_loss(log_directory, "hypernetwork_loss.csv", hypernetwork.step, len(ds), {
"loss": f"{previous_mean_loss:.7f}",
@@ -530,8 +573,12 @@ Last saved image: {html.escape(last_saved_image)}<br/> report_statistics(loss_dict)
filename = os.path.join(shared.cmd_opts.hypernetwork_dir, f'{hypernetwork_name}.pt')
+ hypernetwork.optimizer_name = optimizer_name
+ if shared.opts.save_optimizer_state:
+ hypernetwork.optimizer_state_dict = optimizer.state_dict()
save_hypernetwork(hypernetwork, checkpoint, hypernetwork_name, filename)
-
+ del optimizer
+ hypernetwork.optimizer_state_dict = None # dereference it after saving, to save memory.
return hypernetwork, filename
def save_hypernetwork(hypernetwork, checkpoint, hypernetwork_name, filename):
diff --git a/modules/hypernetworks/ui.py b/modules/hypernetworks/ui.py index aad09ffc..c2d4b51c 100644 --- a/modules/hypernetworks/ui.py +++ b/modules/hypernetworks/ui.py @@ -9,7 +9,7 @@ from modules import devices, sd_hijack, shared from modules.hypernetworks import hypernetwork
not_available = ["hardswish", "multiheadattention"]
-keys = ["linear"] + list(x for x in hypernetwork.HypernetworkModule.activation_dict.keys() if x not in not_available)
+keys = list(x for x in hypernetwork.HypernetworkModule.activation_dict.keys() if x not in not_available)
def create_hypernetwork(name, enable_sizes, overwrite_old, layer_structure=None, activation_func=None, weight_init=None, add_layer_norm=False, use_dropout=False):
# Remove illegal characters from name.
diff --git a/modules/shared.py b/modules/shared.py index 962115f6..70b998ff 100644 --- a/modules/shared.py +++ b/modules/shared.py @@ -86,6 +86,10 @@ parser.add_argument("--nowebui", action='store_true', help="use api=True to laun parser.add_argument("--ui-debug-mode", action='store_true', help="Don't load model to quickly launch UI")
parser.add_argument("--device-id", type=str, help="Select the default CUDA device to use (export CUDA_VISIBLE_DEVICES=0,1,etc might be needed before)", default=None)
parser.add_argument("--administrator", action='store_true', help="Administrator rights", default=False)
+parser.add_argument("--cors-allow-origins", type=str, help="Allowed CORS origins", default=None)
+parser.add_argument("--tls-keyfile", type=str, help="Partially enables TLS, requires --tls-certfile to fully function", default=None)
+parser.add_argument("--tls-certfile", type=str, help="Partially enables TLS, requires --tls-keyfile to fully function", default=None)
+parser.add_argument("--server-name", type=str, help="Sets hostname of server", default=None)
cmd_opts = parser.parse_args()
restricted_opts = {
@@ -147,9 +151,9 @@ class State: self.interrupted = True
def nextjob(self):
- if opts.show_progress_every_n_steps == -1:
+ if opts.show_progress_every_n_steps == -1:
self.do_set_current_image()
-
+
self.job_no += 1
self.sampling_step = 0
self.current_image_sampling_step = 0
@@ -198,7 +202,7 @@ class State: return
if self.current_latent is None:
return
-
+
if opts.show_progress_grid:
self.current_image = sd_samplers.samples_to_image_grid(self.current_latent)
else:
@@ -317,6 +321,7 @@ options_templates.update(options_section(('system', "System"), { options_templates.update(options_section(('training', "Training"), {
"unload_models_when_training": OptionInfo(False, "Move VAE and CLIP to RAM when training if possible. Saves VRAM."),
+ "save_optimizer_state": OptionInfo(False, "Saves Optimizer state as separate *.optim file. Training can be resumed with HN itself and matching optim file."),
"dataset_filename_word_regex": OptionInfo("", "Filename word regex"),
"dataset_filename_join_string": OptionInfo(" ", "Filename join string"),
"training_image_repeats_per_epoch": OptionInfo(1, "Number of repeats for a single input image per epoch; used only for displaying epoch number", gr.Number, {"precision": 0}),
diff --git a/modules/ui.py b/modules/ui.py index 4c2829af..76ca9b07 100644 --- a/modules/ui.py +++ b/modules/ui.py @@ -1446,17 +1446,19 @@ def create_ui(wrap_gradio_gpu_call): continue
oldval = opts.data.get(key, None)
-
- setattr(opts, key, value)
-
+ try:
+ setattr(opts, key, value)
+ except RuntimeError:
+ continue
if oldval != value:
if opts.data_labels[key].onchange is not None:
opts.data_labels[key].onchange()
changed += 1
-
- opts.save(shared.config_filename)
-
+ try:
+ opts.save(shared.config_filename)
+ except RuntimeError:
+ return opts.dumpjson(), f'{changed} settings changed without save.'
return opts.dumpjson(), f'{changed} settings changed.'
def run_settings_single(value, key):
diff --git a/modules/ui_extensions.py b/modules/ui_extensions.py index a81de9a7..8e0d41d5 100644 --- a/modules/ui_extensions.py +++ b/modules/ui_extensions.py @@ -188,7 +188,7 @@ def refresh_available_extensions_from_data(): code += f"""
<tr>
- <td><a href="{html.escape(url)}">{html.escape(name)}</a></td>
+ <td><a href="{html.escape(url)}" target="_blank">{html.escape(name)}</a></td>
<td>{html.escape(description)}</td>
<td>{install_code}</td>
</tr>
@@ -5,6 +5,7 @@ import importlib import signal
import threading
from fastapi import FastAPI
+from fastapi.middleware.cors import CORSMiddleware
from fastapi.middleware.gzip import GZipMiddleware
from modules.paths import script_path
@@ -34,7 +35,7 @@ from modules.shared import cmd_opts import modules.hypernetworks.hypernetwork
queue_lock = threading.Lock()
-
+server_name = "0.0.0.0" if cmd_opts.listen else cmd_opts.server_name
def wrap_queued_call(func):
def f(*args, **kwargs):
@@ -85,6 +86,20 @@ def initialize(): shared.opts.onchange("sd_hypernetwork", wrap_queued_call(lambda: modules.hypernetworks.hypernetwork.load_hypernetwork(shared.opts.sd_hypernetwork)))
shared.opts.onchange("sd_hypernetwork_strength", modules.hypernetworks.hypernetwork.apply_strength)
+ if cmd_opts.tls_keyfile is not None and cmd_opts.tls_keyfile is not None:
+
+ try:
+ if not os.path.exists(cmd_opts.tls_keyfile):
+ print("Invalid path to TLS keyfile given")
+ if not os.path.exists(cmd_opts.tls_certfile):
+ print(f"Invalid path to TLS certfile: '{cmd_opts.tls_certfile}'")
+ except TypeError:
+ cmd_opts.tls_keyfile = cmd_opts.tls_certfile = None
+ print("TLS setup invalid, running webui without TLS")
+ else:
+ print("Running with TLS")
+
+
# make the program just exit at ctrl+c without waiting for anything
def sigint_handler(sig, frame):
print(f'Interrupted with signal {sig} in {frame}')
@@ -93,6 +108,11 @@ def initialize(): signal.signal(signal.SIGINT, sigint_handler)
+def setup_cors(app):
+ if cmd_opts.cors_allow_origins:
+ app.add_middleware(CORSMiddleware, allow_origins=cmd_opts.cors_allow_origins.split(','), allow_methods=['*'])
+
+
def create_api(app):
from modules.api.api import Api
api = Api(app, queue_lock)
@@ -114,6 +134,7 @@ def api_only(): initialize()
app = FastAPI()
+ setup_cors(app)
app.add_middleware(GZipMiddleware, minimum_size=1000)
api = create_api(app)
@@ -131,8 +152,10 @@ def webui(): app, local_url, share_url = demo.launch(
share=cmd_opts.share,
- server_name="0.0.0.0" if cmd_opts.listen else None,
+ server_name=server_name,
server_port=cmd_opts.port,
+ ssl_keyfile=cmd_opts.tls_keyfile,
+ ssl_certfile=cmd_opts.tls_certfile,
debug=cmd_opts.gradio_debug,
auth=[tuple(cred.split(':')) for cred in cmd_opts.gradio_auth.strip('"').split(',')] if cmd_opts.gradio_auth else None,
inbrowser=cmd_opts.autolaunch,
@@ -147,6 +170,8 @@ def webui(): # runnnig its code. We disable this here. Suggested by RyotaK.
app.user_middleware = [x for x in app.user_middleware if x.cls.__name__ != 'CORSMiddleware']
+ setup_cors(app)
+
app.add_middleware(GZipMiddleware, minimum_size=1000)
if launch_api:
|