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palsd
/
yum_vada_pav

Text-to-Image
Diffusers
PyTorch
StableDiffusionPipeline
stable-diffusion
diffusion-models-class
dreambooth-hackathon
food
Model card Files Files and versions
xet
Community
2

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

  • Libraries
  • Diffusers

    How to use palsd/yum_vada_pav with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("palsd/yum_vada_pav", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "Eating yum_vada_pav vada pav with glass of chai while sitting at the bench in Antarctica in midst of glaciers"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
yum_vada_pav
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  • 2 contributors
History: 3 commits
palsd's picture
palsd
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