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Merge pull request #10823 from akx/model-loady
Upscaler model loading cleanup
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@@ -1,3 +1,5 @@
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from __future__ import annotations
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import os
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import shutil
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import importlib
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@@ -8,6 +10,29 @@ from modules.upscaler import Upscaler, UpscalerLanczos, UpscalerNearest, Upscale
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from modules.paths import script_path, models_path
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def load_file_from_url(
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url: str,
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*,
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model_dir: str,
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progress: bool = True,
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file_name: str | None = None,
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) -> str:
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"""Download a file from `url` into `model_dir`, using the file present if possible.
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Returns the path to the downloaded file.
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"""
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os.makedirs(model_dir, exist_ok=True)
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if not file_name:
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parts = urlparse(url)
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file_name = os.path.basename(parts.path)
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cached_file = os.path.abspath(os.path.join(model_dir, file_name))
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if not os.path.exists(cached_file):
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print(f'Downloading: "{url}" to {cached_file}\n')
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from torch.hub import download_url_to_file
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download_url_to_file(url, cached_file, progress=progress)
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return cached_file
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def load_models(model_path: str, model_url: str = None, command_path: str = None, ext_filter=None, download_name=None, ext_blacklist=None) -> list:
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"""
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A one-and done loader to try finding the desired models in specified directories.
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@@ -46,9 +71,7 @@ def load_models(model_path: str, model_url: str = None, command_path: str = None
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if model_url is not None and len(output) == 0:
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if download_name is not None:
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from basicsr.utils.download_util import load_file_from_url
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dl = load_file_from_url(model_url, places[0], True, download_name)
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output.append(dl)
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output.append(load_file_from_url(model_url, model_dir=places[0], file_name=download_name))
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else:
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output.append(model_url)
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@@ -59,7 +82,7 @@ def load_models(model_path: str, model_url: str = None, command_path: str = None
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def friendly_name(file: str):
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if "http" in file:
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if file.startswith("http"):
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file = urlparse(file).path
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file = os.path.basename(file)
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