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daeunni
/
beta

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

  • Libraries
  • Diffusers

    How to use daeunni/beta with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("CompVis/stable-diffusion-v1-4", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("daeunni/beta")
    
    prompt = "a photo of sks dog"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
beta
37.9 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
Daeun Lee
End of training
d172070 verified about 2 years ago
  • checkpoint-50
    End of training about 2 years ago
  • logs
    End of training about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    625 Bytes
    End of training about 2 years ago
  • pytorch_lora_weights.safetensors
    8.01 MB
    xet
    End of training about 2 years ago