sdxl-training

Low VRAM SDXL Fine-Tuning Toolkit 2026: Train Full-Quality AI Models on 12GB GPUs

The 2026 VRAM-Smart Fine-Tuning Suite for SDXL and ANIMA on 12GB GPUs

A highly memory-efficient fine-tuning toolkit for SDXL and ANIMA, combining modern VRAM-saving techniques with custom optimizers to enable full-quality model training on GPUs with as little as 12 GB of VRAM.

Automates the setup and installation of invoke-training on Windows, Mac, and Linux.

Enhanced Prodigy optimizer with ~21% GPU speedup, independent D estimation for multi-component models, and improved stability. Drop-in replacement for Prodigy with same API.