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Intel
/
ldm3d-4c

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
7

Instructions to use Intel/ldm3d-4c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use Intel/ldm3d-4c 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-4c", 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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Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Fine-Tuning or LoRA Version of this model possible?

#7 opened over 1 year ago by
timmerscher

Architecture of VAE

#6 opened about 2 years ago by
Dubhe-zmc

Hosted inference API

🔥 1
2
#4 opened over 2 years ago by
alexgradinaru

Question about the VAE's input/output channel dimensions

4
#3 opened over 2 years ago by
terryryu
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