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LyliaEngine
/
UUDC

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

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

  • Libraries
  • Diffusers

    How to use LyliaEngine/UUDC with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("LyliaEngine/Pony_Diffusion_V6_XL", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("LyliaEngine/UUDC")
    
    prompt = "score_9, score_8_up, score_7_up, score_6_up, BREAK UUDC, indoors, horror \\(theme\\), dark, scenery, abandoned, underground, room, bathroom, concrete walls, tile walls, tile floor, fluorescent light, dim lighting, decayed, damaged walls, neglected, no humans, shadows, architecture, urban decay, bathroom stalls, broken tiles, rubble, drain cover, floor drain, shelf <lora:[Urban Liminal] Underground Construction Style Background_epoch_10:0.6>"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
UUDC
229 MB
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  • 1 contributor
History: 5 commits
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LyliaEngine
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  • Urban_Liminal_Underground_Construction_Style_Background.safetensors
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