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xbesing
/
output_ink

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

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

  • Libraries
  • Diffusers

    How to use xbesing/output_ink 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("xbesing/output_ink")
    
    prompt = "liuyi style"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
output_ink / checkpoint-500
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
xbesing's picture
xbesing
End of training
34166cf about 3 years ago
  • pytorch_lora_weights.bin
    3.29 MB
    xet
    End of training about 3 years ago