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hangeol
/
textual_inversion_cat_test

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 hangeol/textual_inversion_cat_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use hangeol/textual_inversion_cat_test with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_textual_inversion("hangeol/textual_inversion_cat_test")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
textual_inversion_cat_test
5.48 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
hangeol's picture
hangeol
End of training
00c4bd8 almost 3 years ago
  • feature_extractor
    End of training almost 3 years ago
  • logs
    End of training almost 3 years ago
  • safety_checker
    End of training almost 3 years ago
  • scheduler
    End of training almost 3 years ago
  • text_encoder
    End of training almost 3 years ago
  • tokenizer
    End of training almost 3 years ago
  • unet
    End of training almost 3 years ago
  • vae
    End of training almost 3 years ago
  • .gitattributes
    1.48 kB
    initial commit almost 3 years ago
  • README.md
    421 Bytes
    End of training almost 3 years ago
  • learned_embeds.bin
    3.9 kB
    xet
    End of training almost 3 years ago
  • model_index.json
    582 Bytes
    End of training almost 3 years ago