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YeBhoneLin10
/
mraukoo

Text-to-Image
Diffusers
Trained with AutoTrain
stable-diffusion-xl
stable-diffusion-xl-diffusers
lora
template:sd-lora
Model card Files Files and versions
xet
Community

Instructions to use YeBhoneLin10/mraukoo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use YeBhoneLin10/mraukoo with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("YeBhoneLin10/mraukoo")
    
    prompt = "photo of a mraukoo"
    image = pipe(prompt).images[0]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
mraukoo
46.9 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
YeBhoneLin10's picture
YeBhoneLin10
End of training
a30bb7d verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    849 Bytes
    End of training over 1 year ago
  • prompt.txt
    18 Bytes
    End of training over 1 year ago
  • pytorch_lora_weights.safetensors
    23.4 MB
    xet
    End of training over 1 year ago
  • pytorch_lora_weights_kohya.safetensors
    23.5 MB
    xet
    End of training over 1 year ago
  • training_params.json
    1.39 kB
    End of training over 1 year ago