LoRA: Difference between revisions
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Low-Rank Adaptation, a method of training for Stable Diffusion, much like Textual Inversion. Can capture styles and subjects, producing better results in a shorter time, with smaller output files, than traditional finetuning. | Low-Rank Adaptation, a method of training for Stable Diffusion, much like Textual Inversion. Can capture styles and subjects, producing better results in a shorter time, with smaller output files, than traditional finetuning. | ||
[[Category: | [[Category:Generative AI]] |
Revision as of 22:17, 3 October 2023
Low-Rank Adaptation, a method of training for Stable Diffusion, much like Textual Inversion. Can capture styles and subjects, producing better results in a shorter time, with smaller output files, than traditional finetuning.