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AEmotionStudio
/
NormalCrafter

Image-to-Video
Diffusers
Safetensors
StableVideoDiffusionPipeline
normal-estimation
video
diffusion
svd
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Diffusers

    How to use AEmotionStudio/NormalCrafter 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("AEmotionStudio/NormalCrafter", 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
NormalCrafter / unet
3.05 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
AEmotionStudio's picture
AEmotionStudio
Mirror NormalCrafter UNet + VAE from Yanrui95/NormalCrafter
1cd85de verified about 2 months ago
  • config.json
    1.03 kB
    Mirror NormalCrafter UNet + VAE from Yanrui95/NormalCrafter about 2 months ago
  • diffusion_pytorch_model.safetensors
    3.05 GB
    xet
    Mirror NormalCrafter UNet + VAE from Yanrui95/NormalCrafter about 2 months ago