Data curation identified as the biggest pain point in LoRA training
spacer44 · reddit · 2026-08-18
After training several character LoRAs, the author found that the quality of input images impacts the final model the most, forcing most of the time to be spent on data curation rather than parameter tuning. The author argues that once a base model is chosen, settings remain constant, but the dataset is always new. Considering building a tool to streamline data curation, the author asks if others in the community also find this to be the primary bottleneck in LoRA training.
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