mirror of
https://github.com/nod-ai/AMD-SHARK-Studio.git
synced 2026-04-03 03:00:17 -04:00
[Web] Models folders cleanup (#1365)
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@@ -469,7 +469,7 @@ def get_path_stem(path):
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def get_path_to_diffusers_checkpoint(custom_weights):
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path = Path(custom_weights)
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diffusers_path = path.parent.absolute()
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diffusers_directory_name = path.stem
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diffusers_directory_name = os.path.join("diffusers", path.stem)
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complete_path_to_diffusers = diffusers_path / diffusers_directory_name
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complete_path_to_diffusers.mkdir(parents=True, exist_ok=True)
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path_to_diffusers = complete_path_to_diffusers.as_posix()
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@@ -55,14 +55,12 @@ if __name__ == "__main__":
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from apps.stable_diffusion.web.utils.gradio_configs import (
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clear_gradio_tmp_imgs_folder,
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)
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from apps.stable_diffusion.web.ui.utils import get_custom_model_path
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from apps.stable_diffusion.web.ui.utils import create_custom_models_folders
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# Clear all gradio tmp images from the last session
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clear_gradio_tmp_imgs_folder()
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# Create the custom model folder if it doesn't already exist
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dir = ["models", "vae", "lora"]
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for root in dir:
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get_custom_model_path(root).mkdir(parents=True, exist_ok=True)
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# Create custom models folders if they don't exist
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create_custom_models_folders()
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def resource_path(relative_path):
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"""Get absolute path to resource, works for dev and for PyInstaller"""
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@@ -360,7 +360,7 @@ with gr.Blocks(title="Image-to-Image") as img2img_web:
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elem_id="custom_model",
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value=os.path.basename(args.ckpt_loc)
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if args.ckpt_loc
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else "None",
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else "stabilityai/stable-diffusion-2-1-base",
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choices=["None"]
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+ get_custom_model_files()
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+ predefined_models,
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@@ -311,9 +311,11 @@ with gr.Blocks(title="Inpainting") as inpaint_web:
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elem_id="custom_model",
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value=os.path.basename(args.ckpt_loc)
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if args.ckpt_loc
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else "None",
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else "stabilityai/stable-diffusion-2-inpainting",
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choices=["None"]
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+ get_custom_model_files()
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+ get_custom_model_files(
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custom_checkpoint_type="inpainting"
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)
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+ predefined_paint_models,
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)
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hf_model_id = gr.Textbox(
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@@ -322,9 +322,11 @@ with gr.Blocks(title="Outpainting") as outpaint_web:
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elem_id="custom_model",
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value=os.path.basename(args.ckpt_loc)
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if args.ckpt_loc
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else "None",
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else "stabilityai/stable-diffusion-2-inpainting",
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choices=["None"]
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+ get_custom_model_files()
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+ get_custom_model_files(
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custom_checkpoint_type="inpainting"
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)
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+ predefined_paint_models,
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)
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hf_model_id = gr.Textbox(
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@@ -286,7 +286,7 @@ with gr.Blocks(title="Text-to-Image") as txt2img_web:
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elem_id="custom_model",
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value=os.path.basename(args.ckpt_loc)
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if args.ckpt_loc
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else "None",
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else "stabilityai/stable-diffusion-2-1-base",
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choices=["None"]
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+ get_custom_model_files()
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+ predefined_models,
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@@ -314,9 +314,11 @@ with gr.Blocks(title="Upscaler") as upscaler_web:
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elem_id="custom_model",
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value=os.path.basename(args.ckpt_loc)
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if args.ckpt_loc
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else "None",
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else "stabilityai/stable-diffusion-x4-upscaler",
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choices=["None"]
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+ get_custom_model_files()
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+ get_custom_model_files(
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custom_checkpoint_type="upscaler"
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)
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+ predefined_upscaler_models,
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)
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hf_model_id = gr.Textbox(
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@@ -72,30 +72,36 @@ def resource_path(relative_path):
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return os.path.join(base_path, relative_path)
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def create_custom_models_folders():
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dir = ["vae", "lora"]
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if not args.ckpt_dir:
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dir.insert(0, "models")
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else:
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if not os.path.isdir(args.ckpt_dir):
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sys.exit(
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f"Invalid --ckpt_dir argument, {args.ckpt_dir} folder does not exists."
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)
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for root in dir:
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get_custom_model_path(root).mkdir(parents=True, exist_ok=True)
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def get_custom_model_path(model="models"):
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# If `--ckpt_dir` is provided it'd override the heirarchical folder
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# structure in WebUI :-
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# model
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# models or args.ckpt_dir
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# |___lora
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# |___vae
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sub_folder = "" if model == "models" else model
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if args.ckpt_dir:
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return Path(args.ckpt_dir)
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match model:
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case "models":
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return Path(Path.cwd(), "models")
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case "vae":
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return Path(Path.cwd(), "models/vae")
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case "lora":
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return Path(Path.cwd(), "models/lora")
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case _:
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return ""
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return Path(Path(args.ckpt_dir), sub_folder)
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else:
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return Path(Path.cwd(), "models/" + sub_folder)
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def get_custom_model_pathfile(custom_model_name, model="models"):
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return os.path.join(get_custom_model_path(model), custom_model_name)
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def get_custom_model_files(model="models"):
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def get_custom_model_files(model="models", custom_checkpoint_type=""):
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ckpt_files = []
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file_types = custom_model_filetypes
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if model == "lora":
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@@ -107,6 +113,28 @@ def get_custom_model_files(model="models"):
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os.path.join(get_custom_model_path(model), extn)
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)
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]
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match custom_checkpoint_type:
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case "inpainting":
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files = [
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val
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for val in files
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if val.endswith("inpainting" + extn.removeprefix("*"))
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]
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case "upscaler":
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files = [
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val
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for val in files
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if val.endswith("upscaler" + extn.removeprefix("*"))
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]
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case _:
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files = [
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val
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for val in files
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if not (
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val.endswith("inpainting" + extn.removeprefix("*"))
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or val.endswith("upscaler" + extn.removeprefix("*"))
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)
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]
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ckpt_files.extend(files)
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return sorted(ckpt_files, key=str.casefold)
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