Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing

  • Log In
  • Sign Up

ajag
/
demo

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

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

  • Libraries
  • Diffusers

    How to use ajag/demo 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("ajag/demo", 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
demo
7.15 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
ajag's picture
ajag
commit
1637c01 verified almost 2 years ago
  • assets
    commit almost 2 years ago
  • densepose
    commit almost 2 years ago
  • humanparsing
    commit almost 2 years ago
  • image_encoder
    commit almost 2 years ago
  • openpose
    commit almost 2 years ago
  • scheduler
    commit almost 2 years ago
  • text_encoder
    commit almost 2 years ago
  • text_encoder_2
    commit almost 2 years ago
  • tokenizer
    commit almost 2 years ago
  • tokenizer_2
    commit almost 2 years ago
  • unet
    commit almost 2 years ago
  • unet_encoder
    commit almost 2 years ago
  • vae
    commit almost 2 years ago
  • .gitattributes
    1.63 kB
    commit almost 2 years ago
  • README.md
    24 Bytes
    initial commit almost 2 years ago
  • model_index.json
    733 Bytes
    commit almost 2 years ago