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linoyts
/
yarn_art_Flux_LoRA

Text-to-Image
Diffusers
diffusers-training
lora
flux
flux-diffusers
template:sd-lora
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Diffusers

    How to use linoyts/yarn_art_Flux_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("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("linoyts/yarn_art_Flux_LoRA")
    
    prompt = "yoda, yarn art style"
    image = pipe(prompt).images[0]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
yarn_art_Flux_LoRA
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  • 1 contributor
History: 8 commits
linoyts's picture
linoyts HF Staff
Update README.md
fe3f1bf verified almost 2 years ago
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  • pytorch_lora_weights.safetensors
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  • yarn_art_1.png
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  • yarn_art_6.png
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