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PoolerSP
/
LogiLete

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

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

  • Libraries
  • Diffusers

    How to use PoolerSP/LogiLete 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("PoolerSP/LogiLete", 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
LogiLete
9.52 GB
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  • 1 contributor
History: 16 commits
PoolerSP's picture
PoolerSP
Update model_index.json
2551da4 verified 12 months ago
  • feature_extractor
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  • safety_checker
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  • scheduler
    Upload 6 files 12 months ago
  • text_encoder
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  • tokenizer
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  • unet
    Create config.json 12 months ago
  • vae
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  • .gitattributes
    1.52 kB
    initial commit 12 months ago
  • LogiLete.safetensors
    4.27 GB
    xet
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  • README.md
    31 Bytes
    initial commit 12 months ago
  • model_index.json
    294 Bytes
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  • preview_data_empty
    0 Bytes
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  • v1-variants-scores.jpg
    71.2 kB
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