mirror of
https://github.com/easydiffusion/easydiffusion.git
synced 2024-11-26 02:05:09 +01:00
100 lines
3.4 KiB
Python
100 lines
3.4 KiB
Python
# this script runs inside the legacy "stable-diffusion" folder
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from sdkit.models import download_model, get_model_info_from_db
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from sdkit.utils import hash_file_quick
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import os
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import shutil
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from glob import glob
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models_base_dir = os.path.abspath(os.path.join("..", "models"))
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models_to_check = {
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"stable-diffusion": [
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{"file_name": "sd-v1-4.ckpt", "model_id": "1.4"},
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],
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"gfpgan": [
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{"file_name": "GFPGANv1.4.pth", "model_id": "1.4"},
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],
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"realesrgan": [
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{"file_name": "RealESRGAN_x4plus.pth", "model_id": "x4plus"},
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{"file_name": "RealESRGAN_x4plus_anime_6B.pth", "model_id": "x4plus_anime_6"},
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],
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"vae": [
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{"file_name": "vae-ft-mse-840000-ema-pruned.ckpt", "model_id": "vae-ft-mse-840000-ema-pruned"},
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],
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}
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MODEL_EXTENSIONS = { # copied from easydiffusion/model_manager.py
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"stable-diffusion": [".ckpt", ".safetensors"],
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"vae": [".vae.pt", ".ckpt", ".safetensors"],
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"hypernetwork": [".pt", ".safetensors"],
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"gfpgan": [".pth"],
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"realesrgan": [".pth"],
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"lora": [".ckpt", ".safetensors"],
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}
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def download_if_necessary(model_type: str, file_name: str, model_id: str):
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model_path = os.path.join(models_base_dir, model_type, file_name)
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expected_hash = get_model_info_from_db(model_type=model_type, model_id=model_id)["quick_hash"]
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other_models_exist = any_model_exists(model_type)
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known_model_exists = os.path.exists(model_path)
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known_model_is_corrupt = known_model_exists and hash_file_quick(model_path) != expected_hash
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if known_model_is_corrupt or (not other_models_exist and not known_model_exists):
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print("> download", model_type, model_id)
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download_model(model_type, model_id, download_base_dir=models_base_dir)
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def init():
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migrate_legacy_model_location()
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for model_type, models in models_to_check.items():
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for model in models:
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try:
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download_if_necessary(model_type, model["file_name"], model["model_id"])
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except:
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fail(model_type)
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print(model_type, "model(s) found.")
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### utilities
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def any_model_exists(model_type: str) -> bool:
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extensions = MODEL_EXTENSIONS.get(model_type, [])
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for ext in extensions:
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if any(glob(f"{models_base_dir}/{model_type}/**/*{ext}", recursive=True)):
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return True
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return False
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def migrate_legacy_model_location():
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'Move the models inside the legacy "stable-diffusion" folder, to their respective folders'
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for model_type, models in models_to_check.items():
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for model in models:
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file_name = model["file_name"]
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if os.path.exists(file_name):
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dest_dir = os.path.join(models_base_dir, model_type)
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os.makedirs(dest_dir, exist_ok=True)
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shutil.move(file_name, os.path.join(dest_dir, file_name))
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def fail(model_name):
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print(
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f"""Error downloading the {model_name} model. Sorry about that, please try to:
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1. Run this installer again.
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2. If that doesn't fix it, please try the common troubleshooting steps at https://github.com/cmdr2/stable-diffusion-ui/wiki/Troubleshooting
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3. If those steps don't help, please copy *all* the error messages in this window, and ask the community at https://discord.com/invite/u9yhsFmEkB
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4. If that doesn't solve the problem, please file an issue at https://github.com/cmdr2/stable-diffusion-ui/issues
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Thanks!"""
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)
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exit(1)
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### start
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init()
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