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jphan32
/
Zero2Story

Text-to-Image
Diffusers
StableDiffusionPipeline
Model card Files Files and versions
xet
Community

Instructions to use jphan32/Zero2Story with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use jphan32/Zero2Story with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("jphan32/Zero2Story", 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
Zero2Story / tokenizer
1.59 MB
Ctrl+K
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  • 1 contributor
History: 1 commit
jphan32's picture
jphan32
test fp16
b4c2c26 over 2 years ago
  • merges.txt
    525 kB
    test fp16 over 2 years ago
  • special_tokens_map.json
    472 Bytes
    test fp16 over 2 years ago
  • tokenizer_config.json
    737 Bytes
    test fp16 over 2 years ago
  • vocab.json
    1.06 MB
    test fp16 over 2 years ago