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iamkaikai
/
CLASSICAL-LORA

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

Instructions to use iamkaikai/CLASSICAL-LORA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use iamkaikai/CLASSICAL-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("iamkaikai/CLASSICAL-LORA")
    
    prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
  • DiffusionBee
CLASSICAL-LORA
Ctrl+K
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  • 1 contributor
History: 3 commits
iamkaikai's picture
iamkaikai
End of training
fdde9fe verified about 2 years ago
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  • CLASSICAL-ART_webui.safetensors
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  • pytorch_lora_weights.safetensors
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