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diffusers
/
stable-diffusion-2-1-unclip-t2i-h

Diffusers
StableUnCLIPPipeline
Model card Files Files and versions
xet
Community

Instructions to use diffusers/stable-diffusion-2-1-unclip-t2i-h with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use diffusers/stable-diffusion-2-1-unclip-t2i-h with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("diffusers/stable-diffusion-2-1-unclip-t2i-h", 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
stable-diffusion-2-1-unclip-t2i-h
9.76 GB
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  • 1 contributor
History: 2 commits
patrickvonplaten's picture
patrickvonplaten
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deb760f about 3 years ago
  • image_noising_scheduler
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  • image_normalizer
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  • prior
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  • prior_scheduler
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  • prior_text_encoder
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  • prior_tokenizer
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  • scheduler
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  • text_encoder
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  • tokenizer
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  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • model_index.json
    819 Bytes
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