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daeunni
/
CL

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

  • Libraries
  • Diffusers

    How to use daeunni/CL 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/CL")
    
    prompt = "a photo of sks teddybear"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
  • DiffusionBee
CL / checkpoint-50
24.2 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
Daeun Lee
End of training
14c1231 verified over 2 years ago
  • optimizer.bin
    16.2 MB
    xet
    End of training over 2 years ago
  • pytorch_lora_weights.safetensors
    8.01 MB
    xet
    End of training over 2 years ago
  • random_states_0.pkl
    16 kB
    xet
    End of training over 2 years ago
  • scheduler.bin
    1 kB
    xet
    End of training over 2 years ago