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tzvc
/
2cabda5b-4e53-40e9-8fcf-cdba5ea5bd6c

Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use tzvc/2cabda5b-4e53-40e9-8fcf-cdba5ea5bd6c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use tzvc/2cabda5b-4e53-40e9-8fcf-cdba5ea5bd6c with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("tzvc/2cabda5b-4e53-40e9-8fcf-cdba5ea5bd6c", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "a portrait of [V]"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
  • DiffusionBee
2cabda5b-4e53-40e9-8fcf-cdba5ea5bd6c / instance_data
1.05 MB
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  • 1 contributor
History: 1 commit
tzvc's picture
tzvc
End of training
da88f93 over 3 years ago
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