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import os |
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import wget |
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from tqdm import tqdm |
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def download_models( |
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model_dir: str = os.makedirs('pretrained_weights', exist_ok=True) |
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): |
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os.makedirs(model_dir, exist_ok=True) |
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urls = ['https://download.openmmlab.com/mmdetection/v2.0/yolox/yolox_l_8x8_300e_coco/yolox_l_8x8_300e_coco_20211126_140236-d3bd2b23.pth', |
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'https://huggingface.co/yzd-v/DWPose/resolve/main/dw-ll_ucoco_384.pth', |
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'https://huggingface.co/TMElyralab/MusePose/resolve/main/MusePose/denoising_unet.pth', |
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'https://huggingface.co/TMElyralab/MusePose/resolve/main/MusePose/motion_module.pth', |
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'https://huggingface.co/TMElyralab/MusePose/resolve/main/MusePose/pose_guider.pth', |
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'https://huggingface.co/TMElyralab/MusePose/resolve/main/MusePose/reference_unet.pth', |
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'https://huggingface.co/lambdalabs/sd-image-variations-diffusers/resolve/main/unet/diffusion_pytorch_model.bin', |
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'https://huggingface.co/lambdalabs/sd-image-variations-diffusers/resolve/main/image_encoder/pytorch_model.bin', |
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'https://huggingface.co/stabilityai/sd-vae-ft-mse/resolve/main/diffusion_pytorch_model.bin' |
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] |
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paths = ['dwpose', 'dwpose', 'MusePose', 'MusePose', 'MusePose', 'MusePose', 'sd-image-variations-diffusers/unet', 'image_encoder', 'sd-vae-ft-mse'] |
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for path in paths: |
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dir = os.path.join(model_dir, path) |
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os.makedirs(dir, exist_ok=True) |
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for url, path in tqdm(zip(urls, paths)): |
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filename = os.path.basename(url) |
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if filename == "yolox_l_8x8_300e_coco_20211126_140236-d3bd2b23.pth": |
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filename = "yolox_l_8x8_300e_coco.pth" |
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full_file_path = os.path.join(model_dir, path, filename) |
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if not os.path.exists(full_file_path): |
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print(f"Model '{filename}' does not exists. Downloading to '{full_file_path}'..") |
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wget.download(url, full_file_path) |
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config_urls = ['https://huggingface.co/lambdalabs/sd-image-variations-diffusers/resolve/main/unet/config.json', |
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'https://huggingface.co/lambdalabs/sd-image-variations-diffusers/resolve/main/image_encoder/config.json', |
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'https://huggingface.co/stabilityai/sd-vae-ft-mse/resolve/main/config.json'] |
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config_paths = ['sd-image-variations-diffusers/unet', 'image_encoder', 'sd-vae-ft-mse'] |
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for url, path in tqdm(zip(config_urls, config_paths)): |
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filename = os.path.basename(url) |
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full_file_path = os.path.join(model_dir, path, filename) |
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if not os.path.exists(full_file_path): |
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print(f"Model '{filename}' does not exists. Downloading to '{full_file_path}'..") |
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wget.download(url, full_file_path) |
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