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Manityro
/
Veridium

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

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

  • Libraries
  • Diffusers

    How to use Manityro/Veridium with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("Laxhar/noobai-XL-1.1", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("Manityro/Veridium")
    
    prompt = "masterpiece, best quality, 1girl, scenery, volumetric lighting, green eyes, freckles, short hair, white hair, green colored tips, green streaked hair, crossed bangs, hair intakes, long sidelocks, black hairband, medium breasts,"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
  • DiffusionBee
Veridium
13.9 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
Manityro's picture
Manityro
Add 3 files
2f80b9b verified over 1 year ago
  • images
    Add 3 files over 1 year ago
  • .gitattributes
    2.31 kB
    initial commit over 1 year ago
  • README.md
    746 Bytes
    initial commit over 1 year ago
  • Veridium-V2.safetensors
    6.94 GB
    xet
    Add 3 files over 1 year ago
  • Veridium.safetensors
    6.94 GB
    xet
    Add 3 files over 1 year ago