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SimonJonsson1999
/
test_lora_decoder

Text-to-Image
Diffusers
kandinsky
diffusers-training
lora
Model card Files Files and versions
xet
Community

Instructions to use SimonJonsson1999/test_lora_decoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use SimonJonsson1999/test_lora_decoder with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("kandinsky-community/kandinsky-2-2-decoder", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("SimonJonsson1999/test_lora_decoder")
    
    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
test_lora_decoder
24.9 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
SimonJonsson1999's picture
SimonJonsson1999
End of training
779c5b3 verified about 2 years ago
  • checkpoint-1000
    End of training about 2 years ago
  • checkpoint-500
    End of training about 2 years ago
  • .gitattributes
    1.57 kB
    End of training about 2 years ago
  • README.md
    462 Bytes
    End of training about 2 years ago
  • image_0.png
    1.42 MB
    xet
    End of training about 2 years ago
  • pytorch_lora_weights.safetensors
    3.31 MB
    xet
    End of training about 2 years ago