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lmaag
/
mononorm

Diffusers
Safetensors
MonoNormPipeline
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Diffusers

    How to use lmaag/mononorm with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("lmaag/mononorm", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
mononorm
5.16 GB
Ctrl+K
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  • 1 contributor
History: 2 commits
lmaag's picture
lmaag
A Marigold-style monocular normal estimator
6468500 verified about 2 years ago
  • scheduler
    A Marigold-style monocular normal estimator about 2 years ago
  • text_encoder
    A Marigold-style monocular normal estimator about 2 years ago
  • tokenizer
    A Marigold-style monocular normal estimator about 2 years ago
  • unet
    A Marigold-style monocular normal estimator about 2 years ago
  • vae
    A Marigold-style monocular normal estimator about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • model_index.json
    461 Bytes
    A Marigold-style monocular normal estimator about 2 years ago