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sigmoidneuron123
/
AIupscaling

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

Instructions to use sigmoidneuron123/AIupscaling with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use sigmoidneuron123/AIupscaling 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("sigmoidneuron123/AIupscaling", 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
AIupscaling
262 kB
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  • 2 contributors
History: 18 commits
sigmoidneuron123's picture
sigmoidneuron123
Update README.md
02de25c verified about 2 months ago
  • .gitattributes
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  • AIupscale_run.py
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  • AIupscale_train.py
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  • README.md
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  • __init__.py
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  • config.json
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  • model.py
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  • model.safetensors
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  • upscaling.pth

    Detected Pickle imports (3)

    • "torch.FloatStorage",
    • "collections.OrderedDict",
    • "torch._utils._rebuild_tensor_v2"

    What is a pickle import?

    127 kB
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