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https://github.com/openvinotoolkit/stable-diffusion-webui.git
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Merge branch 'v1.2.0-hotfix' into release_candidate
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commit
2053745c8f
11
CHANGELOG.md
11
CHANGELOG.md
@ -1,3 +1,14 @@
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## Upcoming 1.2.1
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### Features:
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* add an option to always refer to lora by filenames
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### Bug Fixes:
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* never refer to lora by an alias if multiple loras have same alias or the alias is called none
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* fix upscalers disappearing after the user reloads UI
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* allow bf16 in safe unpickler (resolves problems with loading some loras)
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* allow web UI to be ran fully offline
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## 1.2.0
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## 1.2.0
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### Features:
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### Features:
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@ -393,6 +393,8 @@ def lora_MultiheadAttention_load_state_dict(self, *args, **kwargs):
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def list_available_loras():
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def list_available_loras():
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available_loras.clear()
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available_loras.clear()
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available_lora_aliases.clear()
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available_lora_aliases.clear()
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forbidden_lora_aliases.clear()
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forbidden_lora_aliases.update({"none": 1})
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os.makedirs(shared.cmd_opts.lora_dir, exist_ok=True)
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os.makedirs(shared.cmd_opts.lora_dir, exist_ok=True)
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@ -406,6 +408,9 @@ def list_available_loras():
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available_loras[name] = entry
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available_loras[name] = entry
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if entry.alias in available_lora_aliases:
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forbidden_lora_aliases[entry.alias.lower()] = 1
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available_lora_aliases[name] = entry
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available_lora_aliases[name] = entry
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available_lora_aliases[entry.alias] = entry
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available_lora_aliases[entry.alias] = entry
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@ -445,6 +450,7 @@ def infotext_pasted(infotext, params):
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available_loras = {}
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available_loras = {}
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available_lora_aliases = {}
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available_lora_aliases = {}
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forbidden_lora_aliases = {}
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loaded_loras = []
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loaded_loras = []
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list_available_loras()
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list_available_loras()
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@ -54,6 +54,7 @@ script_callbacks.on_infotext_pasted(lora.infotext_pasted)
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shared.options_templates.update(shared.options_section(('extra_networks', "Extra Networks"), {
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shared.options_templates.update(shared.options_section(('extra_networks', "Extra Networks"), {
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"sd_lora": shared.OptionInfo("None", "Add Lora to prompt", gr.Dropdown, lambda: {"choices": ["None"] + [x for x in lora.available_loras]}, refresh=lora.list_available_loras),
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"sd_lora": shared.OptionInfo("None", "Add Lora to prompt", gr.Dropdown, lambda: {"choices": ["None"] + [x for x in lora.available_loras]}, refresh=lora.list_available_loras),
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"lora_preferred_name": shared.OptionInfo("Alias from file", "When adding to prompt, refer to lora by", gr.Radio, {"choices": ["Alias from file", "Filename"]}),
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}))
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}))
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@ -15,13 +15,19 @@ class ExtraNetworksPageLora(ui_extra_networks.ExtraNetworksPage):
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def list_items(self):
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def list_items(self):
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for name, lora_on_disk in lora.available_loras.items():
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for name, lora_on_disk in lora.available_loras.items():
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path, ext = os.path.splitext(lora_on_disk.filename)
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path, ext = os.path.splitext(lora_on_disk.filename)
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if shared.opts.lora_preferred_name == "Filename" or lora_on_disk.alias.lower() in lora.forbidden_lora_aliases:
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alias = name
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else:
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alias = lora_on_disk.alias
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yield {
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yield {
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"name": name,
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"name": name,
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"filename": path,
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"filename": path,
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"preview": self.find_preview(path),
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"preview": self.find_preview(path),
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"description": self.find_description(path),
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"description": self.find_description(path),
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"search_term": self.search_terms_from_path(lora_on_disk.filename),
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"search_term": self.search_terms_from_path(lora_on_disk.filename),
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"prompt": json.dumps(f"<lora:{lora_on_disk.alias}:") + " + opts.extra_networks_default_multiplier + " + json.dumps(">"),
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"prompt": json.dumps(f"<lora:{alias}:") + " + opts.extra_networks_default_multiplier + " + json.dumps(">"),
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"local_preview": f"{path}.{shared.opts.samples_format}",
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"local_preview": f"{path}.{shared.opts.samples_format}",
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"metadata": json.dumps(lora_on_disk.metadata, indent=4) if lora_on_disk.metadata else None,
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"metadata": json.dumps(lora_on_disk.metadata, indent=4) if lora_on_disk.metadata else None,
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}
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}
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@ -117,20 +117,6 @@ def move_files(src_path: str, dest_path: str, ext_filter: str = None):
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pass
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pass
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builtin_upscaler_classes = []
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forbidden_upscaler_classes = set()
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def list_builtin_upscalers():
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builtin_upscaler_classes.clear()
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builtin_upscaler_classes.extend(Upscaler.__subclasses__())
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def forbid_loaded_nonbuiltin_upscalers():
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for cls in Upscaler.__subclasses__():
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if cls not in builtin_upscaler_classes:
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forbidden_upscaler_classes.add(cls)
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def load_upscalers():
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def load_upscalers():
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# We can only do this 'magic' method to dynamically load upscalers if they are referenced,
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# We can only do this 'magic' method to dynamically load upscalers if they are referenced,
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# so we'll try to import any _model.py files before looking in __subclasses__
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# so we'll try to import any _model.py files before looking in __subclasses__
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@ -146,10 +132,17 @@ def load_upscalers():
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datas = []
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datas = []
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commandline_options = vars(shared.cmd_opts)
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commandline_options = vars(shared.cmd_opts)
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for cls in Upscaler.__subclasses__():
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if cls in forbidden_upscaler_classes:
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continue
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# some of upscaler classes will not go away after reloading their modules, and we'll end
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# up with two copies of those classes. The newest copy will always be the last in the list,
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# so we go from end to beginning and ignore duplicates
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used_classes = {}
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for cls in reversed(Upscaler.__subclasses__()):
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classname = str(cls)
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if classname not in used_classes:
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used_classes[classname] = cls
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for cls in reversed(used_classes.values()):
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name = cls.__name__
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name = cls.__name__
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cmd_name = f"{name.lower().replace('upscaler', '')}_models_path"
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cmd_name = f"{name.lower().replace('upscaler', '')}_models_path"
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scaler = cls(commandline_options.get(cmd_name, None))
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scaler = cls(commandline_options.get(cmd_name, None))
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@ -40,7 +40,7 @@ class RestrictedUnpickler(pickle.Unpickler):
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return getattr(collections, name)
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return getattr(collections, name)
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if module == 'torch._utils' and name in ['_rebuild_tensor_v2', '_rebuild_parameter', '_rebuild_device_tensor_from_numpy']:
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if module == 'torch._utils' and name in ['_rebuild_tensor_v2', '_rebuild_parameter', '_rebuild_device_tensor_from_numpy']:
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return getattr(torch._utils, name)
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return getattr(torch._utils, name)
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if module == 'torch' and name in ['FloatStorage', 'HalfStorage', 'IntStorage', 'LongStorage', 'DoubleStorage', 'ByteStorage', 'float32']:
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if module == 'torch' and name in ['FloatStorage', 'HalfStorage', 'IntStorage', 'LongStorage', 'DoubleStorage', 'ByteStorage', 'float32', 'BFloat16Storage']:
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return getattr(torch, name)
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return getattr(torch, name)
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if module == 'torch.nn.modules.container' and name in ['ParameterDict']:
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if module == 'torch.nn.modules.container' and name in ['ParameterDict']:
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return getattr(torch.nn.modules.container, name)
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return getattr(torch.nn.modules.container, name)
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@ -667,14 +667,19 @@ def reload_gradio_theme(theme_name=None):
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if not theme_name:
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if not theme_name:
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theme_name = opts.gradio_theme
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theme_name = opts.gradio_theme
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default_theme_args = dict(
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font=["Source Sans Pro", 'ui-sans-serif', 'system-ui', 'sans-serif'],
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font_mono=['IBM Plex Mono', 'ui-monospace', 'Consolas', 'monospace'],
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)
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if theme_name == "Default":
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if theme_name == "Default":
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gradio_theme = gr.themes.Default()
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gradio_theme = gr.themes.Default(**default_theme_args)
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else:
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else:
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try:
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try:
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gradio_theme = gr.themes.ThemeClass.from_hub(theme_name)
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gradio_theme = gr.themes.ThemeClass.from_hub(theme_name)
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except Exception as e:
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except Exception as e:
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errors.display(e, "changing gradio theme")
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errors.display(e, "changing gradio theme")
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gradio_theme = gr.themes.Default()
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gradio_theme = gr.themes.Default(**default_theme_args)
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/* temporary fix to load default gradio font in frontend instead of backend */
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@import url('https://fonts.googleapis.com/css2?family=Source+Sans+Pro:wght@400;600&display=swap');
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/* general gradio fixes */
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/* general gradio fixes */
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6
webui.py
6
webui.py
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gfpgan.setup_model(cmd_opts.gfpgan_models_path)
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gfpgan.setup_model(cmd_opts.gfpgan_models_path)
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startup_timer.record("setup gfpgan")
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startup_timer.record("setup gfpgan")
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modelloader.list_builtin_upscalers()
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startup_timer.record("list builtin upscalers")
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modules.scripts.load_scripts()
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modules.scripts.load_scripts()
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startup_timer.record("load scripts")
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startup_timer.record("load scripts")
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modelloader.load_upscalers()
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modelloader.load_upscalers()
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#startup_timer.record("load upscalers") #Is this necessary? I don't know.
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startup_timer.record("load upscalers") #Is this necessary? I don't know.
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modules.sd_vae.refresh_vae_list()
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modules.sd_vae.refresh_vae_list()
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startup_timer.record("refresh VAE")
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startup_timer.record("refresh VAE")
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@ -388,7 +385,6 @@ def webui():
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localization.list_localizations(cmd_opts.localizations_dir)
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localization.list_localizations(cmd_opts.localizations_dir)
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modelloader.forbid_loaded_nonbuiltin_upscalers()
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modules.scripts.reload_scripts()
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modules.scripts.reload_scripts()
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startup_timer.record("load scripts")
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startup_timer.record("load scripts")
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