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Directly access to the model

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python_version: "3.10.3"

cryptography==36.0.2

model

, weights_only=True

, weights_only=True

state_dict = torch.load(model_path, weights_only=True, map_location=lambda storage, loc: storage)

None

#return hunyuan_video_sampler

snapshot_download(repo_id="openai/clip-vit-large-patch14", repo_type="model", local_dir="ckpts/text_encoder_2", force_download=True)

from huggingface_hub import snapshot_download

model = None

z 3 files

z reverse=True,

z 4 files

z collect_env.py

z test_attention.py

z 3 files

z 5 files

z 4 files

z 5 files

z __init__.py

z 11 files

z __init__.py

z 2 files

z 2 files

z ckpts

z 10 files

fastapi 0.115.8

Upload 3 files

dummy = lambda storage: storage

z 4 files

z utils/collect_env.py

z collect_env.py

z tests/test_attention.py

z test_attention.py

z 2 files

z scripts/run_sample_video.sh

z run_sample_video.sh

z 5 files

z 3 files

z hyvideo/vae/__init__.py

z __init__.py

z 4 files

z hyvideo/utils/__init__.py

z __init__.py

z hyvideo/text_encoder/__init__.py

z __init__.py