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[bug fix] fixes #6444 - checkpointing save issue in advanced dreambooth lora sdxl script #6464
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cc @sayakpaul for review 😊 |
sayakpaul
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examples/advanced_diffusion_training/train_dreambooth_lora_sdxl_advanced.py
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Thanks for the quick resolve!
…l_advanced.py Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Feel free to merge once the CI is green! |
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…ed dreambooth lora sdxl script (huggingface#6464) * unwrap text encoder when saving hook only for full text encoder tuning * unwrap text encoder when saving hook only for full text encoder tuning * save embeddings in each checkpoint as well * save embeddings in each checkpoint as well * save embeddings in each checkpoint as well * Update examples/advanced_diffusion_training/train_dreambooth_lora_sdxl_advanced.py Co-authored-by: Sayak Paul <spsayakpaul@gmail.com> --------- Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
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Fixes the bug described in #6444 that occurs when both
(
--checkpointing_steps < --max_train_steps
) and--train_text_encoder_ti
is enabled.When enabling pivotal tuning, since we optimize the embeddings but we don't modify the text encoder weights, we shouldn't be saving text encoder lora layers in each checkpoint (which is what cause the error). This PR modifies
save_model_hook
such that they're saved only when full text encoder fine tuning is performed