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LLanv
/
AssetDropper

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

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

  • Libraries
  • Diffusers

    How to use LLanv/AssetDropper 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("LLanv/AssetDropper", 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
AssetDropper
28.4 GB
Ctrl+K
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  • 1 contributor
History: 12 commits
LLJ
Upload model_index.json
82bc34e verified 11 months ago
  • checkpoint-37500
    Upload folder using huggingface_hub 11 months ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    73 Bytes
    Used for https://github.com/Lanjiong-Li/AssetDropper 11 months ago
  • model_index.json
    884 Bytes
    Upload model_index.json 11 months ago