Spaces:
Running
on
Zero
Running
on
Zero
Upload 3 files
Browse files- app.py +14 -2
- modutils.py +10 -13
app.py
CHANGED
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@@ -172,8 +172,11 @@ os.makedirs(directory_vaes, exist_ok=True)
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from modutils import (
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download_private_repo,
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get_private_lora_model_lists,
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get_model_id_list,
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list_uniq,
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get_tupled_embed_list,
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update_lora_dict,
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HF_LORA_ESSENTIAL_PRIVATE_REPO,
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@@ -285,10 +288,19 @@ def get_embed_list(pipeline_name):
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return get_tupled_embed_list(embed_sdxl_list if pipeline_name == "StableDiffusionXLPipeline" else embed_list)
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def get_my_lora(link_url):
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for url in [url.strip() for url in link_url.split(',')]:
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if not
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download_things(directory_loras, url, hf_token, CIVITAI_API_KEY)
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-
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new_lora_model_list = list_uniq(get_private_lora_model_lists() + get_model_list(directory_loras))
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new_lora_model_list.insert(0, "None")
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from modutils import (
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download_private_repo,
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get_private_lora_model_lists,
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get_local_model_list,
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get_model_id_list,
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escape_lora_basename,
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list_uniq,
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list_sub,
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get_tupled_embed_list,
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update_lora_dict,
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HF_LORA_ESSENTIAL_PRIVATE_REPO,
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return get_tupled_embed_list(embed_sdxl_list if pipeline_name == "StableDiffusionXLPipeline" else embed_list)
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def get_my_lora(link_url):
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from pathlib import Path
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before = get_local_model_list(directory_loras)
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for url in [url.strip() for url in link_url.split(',')]:
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if not Path(f"./loras/{url.split('/')[-1]}").exists():
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download_things(directory_loras, url, hf_token, CIVITAI_API_KEY)
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after = get_local_model_list(directory_loras)
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new_files = list_sub(after, before)
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for file in new_files:
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path = Path(file)
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if path.exists():
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new_path = Path(f'{path.parent.name}/{escape_lora_basename(path.stem)}{path.suffix}')
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path.resolve().rename(new_path.resolve())
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update_lora_dict(str(new_path))
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new_lora_model_list = list_uniq(get_private_lora_model_lists() + get_model_list(directory_loras))
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new_lora_model_list.insert(0, "None")
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modutils.py
CHANGED
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@@ -37,17 +37,14 @@ def change_interface_mode(mode: str):
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gr.update(visible=True), gr.update(value="Standard")
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def
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model_list = []
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valid_extensions =
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name_without_extension = os.path.splitext(filename)[0]
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file_path = os.path.join(directory_path, filename)
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# model_list.append((name_without_extension, file_path))
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model_list.append(file_path)
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# print('\033[34mFILE: ' + file_path + '\033[0m')
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return model_list
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@@ -382,7 +379,7 @@ def get_lora_tupled_list(lora_model_list):
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from pathlib import Path
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if not lora_model_list: return []
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tupled_list = []
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local_models = set(
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for model in lora_model_list:
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if not model: continue
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basename = Path(model).stem
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@@ -411,7 +408,7 @@ def set_lora_trigger(lora_gui: str):
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gr.update(value="", visible=False), gr.update(value="None", visible=True)
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path = Path(lora_gui)
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new_path = Path(f'{path.parent.name}/{escape_lora_basename(path.stem)}{path.suffix}')
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if not new_path.stem in lora_trigger_dict.keys() and not str(path) in set(get_private_lora_model_lists() +
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return gr.update(value="", visible=False), gr.update(visible=False),\
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gr.update(value="", visible=False), gr.update(value="", visible=True)
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if not new_path.exists():
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@@ -438,7 +435,7 @@ def set_lora_trigger(lora_gui: str):
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elif items[3]:
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md = f'[LoRA Model URL]({items[3]})'
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if tag and flag:
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new_lora_model_list = list_uniq(get_private_lora_model_lists() +
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return gr.update(value=tag, label=label, visible=True), gr.update(visible=True),\
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gr.update(value=md, visible=True), gr.update(value=str(new_path), choices=get_lora_tupled_list(new_lora_model_list))
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elif tag:
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@@ -477,7 +474,7 @@ def move_file_lora(filepaths):
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path.resolve().rename(newpath.resolve())
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update_lora_dict(str(newpath))
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new_lora_model_list = list_uniq(get_private_lora_model_lists() +
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new_lora_model_list.insert(0, "None")
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return gr.update(
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gr.update(visible=True), gr.update(value="Standard")
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def get_local_model_list(dir_path):
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from pathlib import Path
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model_list = []
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valid_extensions = ('.ckpt', '.pt', '.pth', '.safetensors', '.bin')
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for file in Path(dir_path).glob("*"):
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if file.suffix in valid_extensions:
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file_path = str(Path(f"{dir_path}/{file.name}"))
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model_list.append(file_path)
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return model_list
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from pathlib import Path
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if not lora_model_list: return []
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tupled_list = []
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local_models = set(get_local_model_list(directory_loras))
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for model in lora_model_list:
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if not model: continue
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basename = Path(model).stem
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gr.update(value="", visible=False), gr.update(value="None", visible=True)
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path = Path(lora_gui)
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new_path = Path(f'{path.parent.name}/{escape_lora_basename(path.stem)}{path.suffix}')
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if not new_path.stem in lora_trigger_dict.keys() and not str(path) in set(get_private_lora_model_lists() + get_local_model_list(directory_loras)):
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return gr.update(value="", visible=False), gr.update(visible=False),\
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gr.update(value="", visible=False), gr.update(value="", visible=True)
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if not new_path.exists():
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elif items[3]:
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md = f'[LoRA Model URL]({items[3]})'
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if tag and flag:
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new_lora_model_list = list_uniq(get_private_lora_model_lists() + get_local_model_list(directory_loras))
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return gr.update(value=tag, label=label, visible=True), gr.update(visible=True),\
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gr.update(value=md, visible=True), gr.update(value=str(new_path), choices=get_lora_tupled_list(new_lora_model_list))
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elif tag:
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path.resolve().rename(newpath.resolve())
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update_lora_dict(str(newpath))
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new_lora_model_list = list_uniq(get_private_lora_model_lists() + get_local_model_list(directory_loras))
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new_lora_model_list.insert(0, "None")
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return gr.update(
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