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rrw23
/
train8

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 rrw23/train8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use rrw23/train8 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("rrw23/train8")
    
    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
train8
145 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
rrw23's picture
rrw23
End of training
f9bc4d0 over 2 years ago
  • checkpoint-10000
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  • checkpoint-3000
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  • checkpoint-6000
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  • logs
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  • .gitattributes
    1.52 kB
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  • README.md
    519 Bytes
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  • image_0.png
    398 kB
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  • image_1.png
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  • image_2.png
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  • image_3.png
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  • pytorch_lora_weights.safetensors
    12.8 MB
    xet
    End of training over 2 years ago