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mvp18
/
gscenes-checkpoints

Image-to-Image
Diffusers
Safetensors
English
diffusion
image-to-3d
3d-reconstruction
gaussian-splatting
pose-free
sparse-view
rgbd
Model card Files Files and versions
xet
Community

Instructions to use mvp18/gscenes-checkpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use mvp18/gscenes-checkpoints with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    from diffusers.utils import load_image
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("mvp18/gscenes-checkpoints", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "Turn this cat into a dog"
    input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
    
    image = pipe(image=input_image, prompt=prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
gscenes-checkpoints
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  • 1 contributor
History: 5 commits
mvp18's picture
mvp18
Update README.md
201cc5f verified 7 months ago
  • unet
    Add UNet and VAE checkpoints 7 months ago
  • vae
    Add UNet and VAE checkpoints 7 months ago
  • .gitattributes
    1.52 kB
    initial commit 7 months ago
  • README.md
    1.39 kB
    Update README.md 7 months ago