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nviolante
/
dot3d

Image-to-Image
Diffusers
Safetensors
English
diffusion
image-harmonization
lighting
3d-gaussian-splatting
computer-vision
flux
Model card Files Files and versions
xet
Community

Instructions to use nviolante/dot3d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use nviolante/dot3d 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("nviolante/dot3d", 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
dot3d
47.6 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
nviolante's picture
nviolante
Update README.md
336ef17 verified 1 day ago
  • image-background
    Upload folder using huggingface_hub 27 days ago
  • image-mask
    Upload folder using huggingface_hub 27 days ago
  • .gitattributes
    1.52 kB
    initial commit about 1 month ago
  • LICENSE
    4.37 kB
    Update License 26 days ago
  • README.md
    4.6 kB
    Update README.md 1 day ago
  • pipeline_dot3d.py
    42.7 kB
    Upload pipeline_dot3d.py with huggingface_hub 26 days ago