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Jonjew
/
NeonCyberpunk

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

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

  • Libraries
  • Diffusers

    How to use Jonjew/NeonCyberpunk 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("Jonjew/NeonCyberpunk")
    
    prompt = "(glowing neon text reading \"Cyberspace\" floating in the bottom), mad-cyberspace, woman wearing futuristic bodysuit, dynamic pose, yellow glowing outlines, yellow coloring, grid, cyberpunk, cityscape, photorealistic  <lora:Neon_Cyberpunk_Cyberspace_FLUX:0.6>"
    image = pipe(prompt).images[0]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
  • DiffusionBee
NeonCyberpunk
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  • 1 contributor
History: 2 commits
Jonjew's picture
Jonjew
Add 8 files
3888f29 verified over 1 year ago
  • images
    Add 8 files over 1 year ago
  • .gitattributes
    2.31 kB
    initial commit over 1 year ago
  • Neon_Cyberpunk_Cyberspace_FLUX.safetensors
    19.3 MB
    xet
    Add 8 files over 1 year ago
  • README.md
    2.88 kB
    initial commit over 1 year ago