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manosp
/
audio_inversion_cat

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

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

  • Libraries
  • Diffusers

    How to use manosp/audio_inversion_cat with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("fill-in-base-model", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_textual_inversion("manosp/audio_inversion_cat")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
audio_inversion_cat / tokenizer
3.36 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
manosp's picture
manosp
End of training
68d7a4c almost 3 years ago
  • added_tokens.json
    26 Bytes
    End of training almost 3 years ago
  • merges.txt
    456 kB
    End of training almost 3 years ago
  • special_tokens_map.json
    280 Bytes
    End of training almost 3 years ago
  • tokenizer.json
    2.11 MB
    End of training almost 3 years ago
  • tokenizer_config.json
    389 Bytes
    End of training almost 3 years ago
  • vocab.json
    798 kB
    End of training almost 3 years ago