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jise
/
X-ray-lora

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

Instructions to use jise/X-ray-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use jise/X-ray-lora 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("jise/X-ray-lora")
    
    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
X-ray-lora
44.6 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 2 commits
jise's picture
jise
End of training
7eea557 over 2 years ago
  • checkpoint-1000
    End of training over 2 years ago
  • checkpoint-1500
    End of training over 2 years ago
  • checkpoint-2000
    End of training over 2 years ago
  • checkpoint-500
    End of training over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    522 Bytes
    End of training over 2 years ago
  • image_0.png
    436 kB
    End of training over 2 years ago
  • image_1.png
    422 kB
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  • image_2.png
    451 kB
    End of training over 2 years ago
  • image_3.png
    479 kB
    End of training over 2 years ago
  • pytorch_lora_weights.safetensors
    3.23 MB
    xet
    End of training over 2 years ago