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Deucalion2003
/
3DGenerator

Image-to-3D
Diffusers
Safetensors
MVDreamPipeline
Model card Files Files and versions
xet
Community
1

Instructions to use Deucalion2003/3DGenerator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use Deucalion2003/3DGenerator with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("Deucalion2003/3DGenerator", 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

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  • feature_extractor
    add imagedream about 2 years ago
  • image_encoder
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  • scheduler
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  • text_encoder
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  • tokenizer
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  • unet
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  • vae
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  • .gitattributes
    1.52 kB
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  • .gitignore
    39 Bytes
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  • README.md
    996 Bytes
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  • model_index.json
    548 Bytes
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  • pipeline.py
    58.7 kB
    isort about 2 years ago
  • requirements.txt
    1.1 kB
    minify, update requirements about 2 years ago