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WiroAI
/
Yuna-Flux-LoRA

Text-to-Image
Diffusers
Transformers
flux
lora
template:sd-lora
ai-toolkit
Model card Files Files and versions
xet
Community

Instructions to use WiroAI/Yuna-Flux-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use WiroAI/Yuna-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("WiroAI/Yuna-Flux-LoRA")
    
    prompt = "yunawiro, A young woman with shoulder-length dark brown hair and fair skin, wearing a fitted beige trench coat and ankle boots. She stands on a rainy street, holding a transparent umbrella, with city lights reflecting on the wet pavement. Ultra-HD, realistic, capturing the moody and romantic ambiance of the rain."
    image = pipe(prompt).images[0]
  • Transformers

    How to use WiroAI/Yuna-Flux-LoRA with Transformers:

    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("WiroAI/Yuna-Flux-LoRA", dtype="auto")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
  • DiffusionBee
Yuna-Flux-LoRA
173 MB
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  • 1 contributor
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