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Adds support to new SDXL dreambooth LoRA training script features + QOL features #447

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linoytsaban
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@linoytsaban linoytsaban commented Nov 21, 2023

Aligns the notebook with the new features of the training script + adds some QOL features to the notebook -while keeping it free tier - including:

  • loading data from a local folder
  • hub login with notebook_login()
  • auto-captioning option with blip
  • use of custom captions for training
  • updated documentation aligned with and highlighting the updated features of the script

cc @apolinario

linoytsaban and others added 13 commits August 10, 2023 19:06
- added local image upload option
- removed assert from image_grid
- add link to model at the end of training
- training loop copied from train_dreambooth_lora_sdxl.py into a code cell
- args namespaces added
- tokenizers, text-encoders, unet and scheduler loaded in separate code cell
- training loop copied from train_dreambooth_lora_sdxl.py into a code cell
- args namespaces added
- output_dir changes to model_dir_name
- tokenizers, text-encoders, unet and scheduler loaded in separate code cell
- changes to default values of the model_dir_name arg + report_to
updated args to reflect the script's features
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@linoytsaban linoytsaban marked this pull request as ready for review November 22, 2023 09:39
@linoytsaban linoytsaban deleted the sdxl_lora_dreambooth_canonical branch November 23, 2023 10:29
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