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linoyts
/
ideogram4-yarn-art-fp8

Text-to-Image
Diffusers
TensorBoard
diffusers-training
lora
ideogram4
ideogram4-diffusers
template:sd-lora
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use linoyts/ideogram4-yarn-art-fp8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use linoyts/ideogram4-yarn-art-fp8 with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("Disty0/Ideogram-4-SDNQ-FP8", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("linoyts/ideogram4-yarn-art-fp8")
    
    prompt = "yarn art style"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
  • DiffusionBee
ideogram4-yarn-art-fp8 / val_images
36.7 MB
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  • 1 contributor
History: 1 commit
linoyts's picture
linoyts HF Staff
End of training
fb5ff60 verified about 2 months ago
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