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javismiles
/
lora6

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

Instructions to use javismiles/lora6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use javismiles/lora6 with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("javismiles/lora6")
    
    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
lora6
18.3 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
javismiles's picture
javismiles
End of training
5db53bb over 2 years ago
  • checkpoint-100
    End of training over 2 years ago
  • checkpoint-50
    End of training over 2 years ago
  • logs
    End of training over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    521 Bytes
    End of training over 2 years ago
  • image_0.png
    449 kB
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  • image_1.png
    469 kB
    End of training over 2 years ago
  • image_2.png
    470 kB
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  • image_3.png
    435 kB
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  • pytorch_lora_weights.safetensors
    3.23 MB
    xet
    End of training over 2 years ago