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Duplicated from  dylanebert/LGM-full

WasabiOctopus
/
LGM

Image-to-3D
Diffusers
Safetensors
LGMFullPipeline
text-to-3d
3d-generation
3d-gaussian-splatting
gaussian-splatting
multi-view-diffusion
lgm
objaverse
research
computer-graphics
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Diffusers

    How to use WasabiOctopus/LGM with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("WasabiOctopus/LGM", 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
LGM / unet
1.88 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 1 commit
WasabiOctopus's picture
WasabiOctopus
Duplicate from dylanebert/LGM-full
52e2add 4 days ago
  • config.json
    403 Bytes
    Duplicate from dylanebert/LGM-full 4 days ago
  • diffusion_pytorch_model.safetensors
    1.88 GB
    xet
    Duplicate from dylanebert/LGM-full 4 days ago
  • mv_unet.py
    34.4 kB
    Duplicate from dylanebert/LGM-full 4 days ago