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Duplicated from  Video-Reason/VBVR-Wan2.2

vinesnt
/
VBVR-Wan2.2

Image-to-Video
Diffusers
Safetensors
WanImageToVideoPipeline
Model card Files Files and versions
xet
Community

Instructions to use vinesnt/VBVR-Wan2.2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use vinesnt/VBVR-Wan2.2 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("vinesnt/VBVR-Wan2.2", 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
VBVR-Wan2.2 / vae
508 MB
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  • 2 contributors
History: 1 commit
vinesnt's picture
vinesnt
Duplicate from Video-Reason/VBVR-Wan2.2
cdb2fa2 2 months ago
  • config.json
    724 Bytes
    Duplicate from Video-Reason/VBVR-Wan2.2 2 months ago
  • diffusion_pytorch_model.safetensors
    508 MB
    xet
    Duplicate from Video-Reason/VBVR-Wan2.2 2 months ago