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Smoden
/
A_MIX_C_diff_lora

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

  • Libraries
  • Diffusers

    How to use Smoden/A_MIX_C_diff_lora 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("Smoden/A_MIX_C_diff_lora")
    
    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
A_MIX_C_diff_lora
38.8 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
Smoden's picture
Smoden
End of training
4f1cbe9 almost 3 years ago
  • checkpoint-10500
    End of training almost 3 years ago
  • checkpoint-6000
    End of training almost 3 years ago
  • checkpoint-9000
    End of training almost 3 years ago
  • logs
    End of training almost 3 years ago
  • pytorch_lora_weights
    End of training almost 3 years ago
  • .gitattributes
    1.48 kB
    initial commit almost 3 years ago
  • README.md
    421 Bytes
    End of training almost 3 years ago
  • pytorch_lora_weights.bin
    3.29 MB
    xet
    End of training almost 3 years ago