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S1T4L
/
Zero123pp_custom

Image-to-Image
Diffusers
Zero123PlusPipeline
art
Model card Files Files and versions
xet
Community

Instructions to use S1T4L/Zero123pp_custom with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use S1T4L/Zero123pp_custom 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("S1T4L/Zero123pp_custom", 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
Zero123pp_custom / tokenizer
1.59 MB
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  • 1 contributor
History: 1 commit
S1T4L's picture
S1T4L
Upload 19 files
bc7a93c verified about 2 years ago
  • merges.txt
    525 kB
    Upload 19 files about 2 years ago
  • special_tokens_map.json
    460 Bytes
    Upload 19 files about 2 years ago
  • tokenizer_config.json
    737 Bytes
    Upload 19 files about 2 years ago
  • vocab.json
    1.06 MB
    Upload 19 files about 2 years ago