Now it’s being used to fine-tune large language models like LLaMA. Our friend Simon Ryu (aka applied the LoRA technique to Stable diffusion, allowing people to create custom trained styles from just a handful of training images, then mix and match those styles at prediction time to create highly customized images.įast-forward one month, and we’re seeing LoRA being applied elsewhere. Last month we blogged about faster fine-tuning of Stable Diffusion with LoRA.

You can combine multiple fine-tuned models together at runtime.

The output is much smaller (megabytes, not gigabytes).

It is faster and uses less memory, which means it can run on consumer hardware.

Improvements for the latest revision of Windows 11.Low-rank adaptation (LoRA) is a technique for fine-tuning models that has some advantages over previous methods:.

New image processing dialog with a log.

Variable options and settings for advanced users.

Supports camera RAW (CRW, CR2, RAW, NEF, DCR, X3F, ORF etc.).

Supports common formats (JPEG, BMP, PNG, GIF, TIFF, PCX etc.).

Auto search for digital pictures within any folder and subfolders.

Flip, rotate, sharp, colorize, and round your digital photos.

Resize by percent, preset or custom size.

Resize, rename, watermark, and convert images in batch mode.

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