mirror of
https://github.com/invoke-ai/InvokeAI
synced 2024-08-30 20:32:17 +00:00
migrate to new HF diffusers cache location
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@ -43,13 +43,11 @@ class SDLegacyType(Enum):
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V2 = 3
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UNKNOWN = 99
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DEFAULT_MAX_MODELS = 2
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VAE_TO_REPO_ID = { # hack, see note in convert_and_import()
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"vae-ft-mse-840000-ema-pruned": "stabilityai/sd-vae-ft-mse",
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}
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class ModelManager(object):
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def __init__(
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self,
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@ -369,7 +367,7 @@ class ModelManager(object):
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if vae := self._load_vae(mconfig["vae"]):
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pipeline_args.update(vae=vae)
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if not isinstance(name_or_path, Path):
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pipeline_args.update(cache_dir=global_cache_dir("diffusers"))
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pipeline_args.update(cache_dir=global_cache_dir("hub"))
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if using_fp16:
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pipeline_args.update(torch_dtype=torch.float16)
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fp_args_list = [{"revision": "fp16"}, {}]
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@ -916,25 +914,30 @@ class ModelManager(object):
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to the 2.3.0 "diffusers" version. This should be a one-time operation, called at
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script startup time.
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"""
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# Three transformer models to check: bert, clip and safety checker
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# Three transformer models to check: bert, clip and safety checker, and
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# the diffusers as well
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models_dir = Path(Globals.root, "models")
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legacy_locations = [
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Path(
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models_dir,
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"CompVis/stable-diffusion-safety-checker/models--CompVis--stable-diffusion-safety-checker"
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),
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Path("bert-base-uncased/models--bert-base-uncased"),
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Path(models_dir, "bert-base-uncased/models--bert-base-uncased"),
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Path(
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models_dir,
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"openai/clip-vit-large-patch14/models--openai--clip-vit-large-patch14"
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),
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]
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models_dir = Path(Globals.root, "models")
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legacy_locations.extend(list(Path(models_dir,"diffusers").glob('*')))
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legacy_layout = False
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for model in legacy_locations:
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legacy_layout = legacy_layout or Path(models_dir, model).exists()
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legacy_layout = legacy_layout or model.exists()
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if not legacy_layout:
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return
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print(
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"** Legacy version <= 2.2.5 model directory layout detected. Reorganizing."
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"** Old model directory layout (< v3.0) detected. Reorganizing."
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)
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print("** This is a quick one-time operation.")
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@ -948,6 +951,8 @@ class ModelManager(object):
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for model in legacy_locations:
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source = models_dir / model
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dest = hub / model.stem
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if dest.exists() and not source.exists():
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continue
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print(f"** {source} => {dest}")
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if source.exists():
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if dest.exists():
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@ -955,26 +960,6 @@ class ModelManager(object):
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else:
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move(source, dest)
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# anything else gets moved into the diffusers directory
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if cls._is_huggingface_hub_directory_present():
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diffusers = global_cache_dir("diffusers")
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else:
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diffusers = models_dir / "diffusers"
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os.makedirs(diffusers, exist_ok=True)
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for root, dirs, _ in os.walk(models_dir, topdown=False):
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for dir in dirs:
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full_path = Path(root, dir)
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if full_path.is_relative_to(hub) or full_path.is_relative_to(diffusers):
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continue
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if Path(dir).match("models--*--*"):
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dest = diffusers / dir
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print(f"** {full_path} => {dest}")
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if dest.exists():
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rmtree(full_path)
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else:
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move(full_path, dest)
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# now clean up by removing any empty directories
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empty = [
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root
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@ -1072,7 +1057,7 @@ class ModelManager(object):
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path = name_or_path
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else:
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owner, repo = name_or_path.split("/")
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path = Path(global_cache_dir("diffusers") / f"models--{owner}--{repo}")
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path = Path(global_cache_dir("hub") / f"models--{owner}--{repo}")
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if not path.exists():
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return None
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hashpath = path / "checksum.sha256"
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@ -1133,7 +1118,7 @@ class ModelManager(object):
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using_fp16 = self.precision == "float16"
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vae_args.update(
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cache_dir=global_cache_dir("diffusers"),
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cache_dir=global_cache_dir("hub"),
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local_files_only=not Globals.internet_available,
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)
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@ -1172,7 +1157,7 @@ class ModelManager(object):
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@staticmethod
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def _delete_model_from_cache(repo_id):
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cache_info = scan_cache_dir(global_cache_dir("diffusers"))
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cache_info = scan_cache_dir(global_cache_dir("hub"))
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# I'm sure there is a way to do this with comprehensions
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# but the code quickly became incomprehensible!
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