Fix prior preservation encoding in DreamBooth SD3(&its LoRA version) training scripts #12411
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…param instead of None; 2. tokenizers should be a list; 3. and max_sequence_length should be provided; 4. _encode_with_t5(...) now behave similar as train_dreambooth_lora_sd3.py does; when calling encode_prompt(...).
…instance_prompt should be passed to param prompt, when calling encode_prompt(...) here..
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What does this PR do?
The current version of the examples folder contains a bug in the prior preservation calculation in train_dreambooth_sd3.py and train_dreambooth_lora_sd3.py.
Taking the LoRA version as an example: when using --with_prior_preservation, encode_prompt() incorrectly receives args.instance_prompt instead of prompts (i.e., instance_prompt + class_prompt). This prevents correct encoding of the class prior, which negatively affects subsequent training.
A similar issue exists in the non-LoRA version, where encode_prompt() is called incorrectly.
This PR aims to fix these bugs.
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Who can review?
@sayakpaul