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X-HighVoltage-X
/
No-Shine

Text-to-Image
Diffusers
lora
template:diffusion-lora
Model card Files Files and versions
xet
Community

Instructions to use X-HighVoltage-X/No-Shine with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use X-HighVoltage-X/No-Shine 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("X-HighVoltage-X/No-Shine")
    
    prompt = "classy high end photo Music video promo still Art Deco Style, desert background and amber light coming from the left ,close-up portrait photo of a woman noshine long hair,black turtle neck sweater under a(shiny blue Puffer Jacket:1.4)<lora:Flux\\mine\\noshine_v2.safetensors:1.0:1.0>"
    image = pipe(prompt).images[0]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
  • DiffusionBee
No-Shine
45.8 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
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