OneTrainer
OneTrainer copied to clipboard
[Feat]: Utilize multiple GPUs and increase thread count during image captioning
Describe your use-case.
I recently was using OneTrainer UI to auto-caption ~750k images using WD14 tagger. I have a dual GPU machine, but it was only utilizing one of them (and was running at very low VRAM/power usage). Additionally, it was barely utilizing CPU at all.
I was wondering if there is any way to make it more fully utilize CPU/GPU resources to speed up batch processing of images. I have a 3.7 million image dataset I need to do next, and it could cut many hours off my processing time to be able to use multiple GPUs.
What would you like to see as a solution?
An option to select multiple GPUs to use, as well as increasing thread count for captioning.
Have you considered alternatives? List them here.
No response