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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
3.48 GB
Ctrl+K
Ctrl+K
  • 5 contributors
History: 16 commits
estellea's picture
estellea
Upload config.json
656fb8f almost 3 years ago
  • feature_extractor
    Upload 13 files almost 3 years ago
  • safety_checker
    Upload 13 files almost 3 years ago
  • scheduler
    Upload 13 files almost 3 years ago
  • text_encoder
    Upload pytorch_model.bin almost 3 years ago
  • tokenizer
    Upload 13 files almost 3 years ago
  • unet
    Upload diffusion_pytorch_model.bin almost 3 years ago
  • vae
    Upload config.json almost 3 years ago
  • .gitattributes
    1.48 kB
    initial commit almost 3 years ago
  • README.md
    3.16 kB
    Update README.md almost 3 years ago
  • model_index.json
    541 Bytes
    Upload 13 files almost 3 years ago