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CLIPP
/
finetuned_generator

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

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

  • Libraries
  • Diffusers

    How to use CLIPP/finetuned_generator with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("CLIPP/finetuned_generator", 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
finetuned_generator / logs /textual_inversion
1 MB
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  • 2 contributors
History: 1 commit
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  • events.out.tfevents.1674983814.197397f0221f.1951.0
    274 Bytes
    xet
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