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joungbinlee
/
3DScenePrompt

Diffusers
Safetensors
CogVideoXImageToVideoPipeline
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Diffusers

    How to use joungbinlee/3DScenePrompt with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("joungbinlee/3DScenePrompt", 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
3DScenePrompt
32.9 GB
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  • 1 contributor
History: 3 commits
joungbinlee's picture
joungbinlee
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49f2b6a verified 5 months ago
  • scheduler
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  • text_encoder
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  • tokenizer
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  • transformer
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  • vae
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  • .gitattributes
    1.52 kB
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  • README.md
    31 Bytes
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  • model_index.json
    423 Bytes
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