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DFloat11
/
Wan2.2-I2V-A14B-DF11

Image-to-Video
Diffusers
Safetensors
llama
dfloat11
df11
lossless compression
70% size, 100% accuracy
Model card Files Files and versions
xet
Community
1

Instructions to use DFloat11/Wan2.2-I2V-A14B-DF11 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use DFloat11/Wan2.2-I2V-A14B-DF11 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("DFloat11/Wan2.2-I2V-A14B-DF11", 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
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  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Any idea what the RAM requirements are for offloading the 14B, if 24Gb VRAM is available?

1
#1 opened 10 months ago by
cromagnone
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