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odenroberts
/
LUCID

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

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

  • Libraries
  • Diffusers

    How to use odenroberts/LUCID with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("NucleusAI/Nucleus-Image", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("odenroberts/LUCID")
    
    prompt = "Screenshot"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
LUCID
429 MB
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  • 1 contributor
History: 2 commits
odenroberts's picture
odenroberts
Add 2 files
da1e25d verified about 1 month ago
  • images
    Add 2 files about 1 month ago
  • .gitattributes
    2.31 kB
    initial commit about 1 month ago
  • README.md
    525 Bytes
    initial commit about 1 month ago
  • a40700f7-2ecb-4d80-a4ae-55412327a334-u2_c7e51715-5c02-4fbc-9c06-5fe705619dfc.safetensors
    428 MB
    xet
    Add 2 files about 1 month ago