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va1bhavagrawa1
/
seethrough3d

Text-to-Image
Diffusers
English
controllable text-to-image generation
diffusion models
3D layout control
occlusion reasoning
Model card Files Files and versions
xet
Community
1

Instructions to use va1bhavagrawa1/seethrough3d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use va1bhavagrawa1/seethrough3d with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("va1bhavagrawa1/seethrough3d", 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
  • Local Apps
  • Draw Things
  • DiffusionBee
seethrough3d / train /caching
4.83 kB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 1 commit
va1bhavagrawa1's picture
va1bhavagrawa1
setup repo as python package
9d1d414 3 months ago
  • cache.py
    4.42 kB
    setup repo as python package 3 months ago
  • cache_text_embeddings.sh
    63 Bytes
    setup repo as python package 3 months ago
  • default_config.yaml
    341 Bytes
    setup repo as python package 3 months ago