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Kvisten
/
output

Text-to-Image
Diffusers
TensorBoard
diffusers-training
lora
sd3
sd3-diffusers
template:sd-lora
Model card Files Files and versions
xet
Metrics Training metrics Community

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

  • Libraries
  • Diffusers

    How to use Kvisten/output 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-3-medium-diffusers", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("Kvisten/output")
    
    prompt = "photo of a nobcap can"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
output
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  • 1 contributor
History: 2 commits
Kvisten's picture
Kvisten
End of training
f166157 verified over 1 year ago
  • checkpoint-200
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  • checkpoint-400
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  • checkpoint-600
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  • checkpoint-800
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  • logs
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  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    2.64 kB
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  • pytorch_lora_weights.safetensors
    11.2 MB
    xet
    End of training over 1 year ago