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refoundd
/
NailoongImage2Image

Text-to-Image
Diffusers
TensorBoard
Safetensors
stable-diffusion
stable-diffusion-diffusers
diffusers-training
lora
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use refoundd/NailoongImage2Image with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use refoundd/NailoongImage2Image with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("fill-in-base-model", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("refoundd/NailoongImage2Image")
    
    prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
NailoongImage2Image
19.3 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
refoundd's picture
refoundd
End of training
586ef61 verified over 1 year ago
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  • .gitattributes
    1.52 kB
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  • README.md
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  • image_0.png
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  • image_1.png
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  • pytorch_lora_weights.safetensors
    3.23 MB
    xet
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