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HappyP4nda
/
PhysRVG

Image-to-Video
Diffusers
Safetensors
video-generation
reinforcement-learning
physics
diffusion
Model card Files Files and versions
xet
Community

Instructions to use HappyP4nda/PhysRVG with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use HappyP4nda/PhysRVG with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    from diffusers.utils import load_image, export_to_video
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("HappyP4nda/PhysRVG", dtype=torch.bfloat16, device_map="cuda")
    pipe.to("cuda")
    
    prompt = "A man with short gray hair plays a red electric guitar."
    image = load_image(
        "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/guitar-man.png"
    )
    
    output = pipe(image=image, prompt=prompt).frames[0]
    export_to_video(output, "output.mp4")
  • Notebooks
  • Google Colab
  • Kaggle
PhysRVG / Wan2.2-TI2V-5B-Diffusers
34.2 GB
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  • 1 contributor
History: 2 commits
HappyP4nda's picture
HappyP4nda
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  • WanImageProcessor
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  • assets
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  • examples
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  • scheduler
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  • text_encoder
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  • tokenizer
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  • transformer
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  • vae
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  • .msc

    Pickle imports

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  • .mv
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  • README.md
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  • configuration.json
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  • model_index.json
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