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nesaorg
/
ProductDesign

Image-to-Image
Diffusers
Safetensors
StableDiffusionInpaintPipeline
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Diffusers

    How to use nesaorg/ProductDesign 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("nesaorg/ProductDesign", 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
ProductDesign / tokenizer
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  • 1 contributor
History: 1 commit
farhan-ahmad's picture
farhan-ahmad
Upload StableDiffusionInpaintPipeline
3117c0e verified about 1 year ago
  • merges.txt
    525 kB
    Upload StableDiffusionInpaintPipeline about 1 year ago
  • special_tokens_map.json
    588 Bytes
    Upload StableDiffusionInpaintPipeline about 1 year ago
  • tokenizer_config.json
    736 Bytes
    Upload StableDiffusionInpaintPipeline about 1 year ago
  • vocab.json
    1.06 MB
    Upload StableDiffusionInpaintPipeline about 1 year ago