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shi-labs
/
versatile-diffusion

Text-to-Image
Diffusers
VersatileDiffusionPipeline
image-to-text
image-to-image
text-to-text
image-editing
image-variation
generation
vision
Model card Files Files and versions
xet
Community
9

Instructions to use shi-labs/versatile-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use shi-labs/versatile-diffusion with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("shi-labs/versatile-diffusion", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "A high tech solarpunk utopia in the Amazon rainforest"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
versatile-diffusion / tokenizer
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  • 4 contributors
History: 1 commit
patrickvonplaten's picture
patrickvonplaten
add diffusion models
be7e653 over 3 years ago
  • merges.txt
    525 kB
    add diffusion models over 3 years ago
  • special_tokens_map.json
    472 Bytes
    add diffusion models over 3 years ago
  • tokenizer_config.json
    806 Bytes
    add diffusion models over 3 years ago
  • vocab.json
    1.06 MB
    add diffusion models over 3 years ago