easydiffusion/scripts/check_models.py

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