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Intel
/
ldm3d

Text-to-3D
Diffusers
Safetensors
English
StableDiffusionLDM3DPipeline
stable-diffusion
stable-diffusion-diffusers
text-to-image
Eval Results (legacy)
Model card Files Files and versions
xet
Community
5

Instructions to use Intel/ldm3d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use Intel/ldm3d with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("Intel/ldm3d", 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
ldm3d
11 GB
Ctrl+K
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  • 5 contributors
History: 61 commits
nielsr's picture
nielsr HF Staff
kellibelcher's picture
kellibelcher
Update README.md (#5)
6ac1414 verified about 2 years ago
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  • safety_checker
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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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  • .gitattributes
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  • README.md
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  • ldm3d_results.png
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  • model_index.json
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  • model_overview.png
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  • qualitative_results.png
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