I built a zero-setup, zero-parameter Windows LoRA trainer
I’m building TutuTrainer, a standalone Windows LoRA training tool for AI creators.
It is not a ComfyUI node and it is not meant to replace ComfyUI. The goal is to make LoRA training easier for creators who want a simpler desktop workflow before using the trained LoRA in their image generation pipeline.
A few things I focused on:
- Custom timestep optimization
For many model types, TutuTrainer uses a custom training strategy I call Tutu Timesteps. It is based on testing different model behaviors and timestep ranges, then applying settings that are better matched to the model being trained.
In my own tests, this often produced more stable or better-looking results compared with more generic training settings.
- Automatic parameter setup
The trainer is designed so users do not need to manually tune most training parameters. It automatically adjusts settings based on the selected model, training task, and hardware environment, including VRAM-related optimization.
- Simple Windows installation
The installation process is basically next-next-finish. The installer may appear in Chinese depending on the build, but the application itself supports both English and Chinese.
- Built-in update system
TutuTrainer includes its own update system, so users can continue receiving improvements without manually reinstalling everything each time.
During development, I learned a lot from excellent projects and authors, including AI Toolkit / AITK, kohya-ss / sd-scripts, and many other LoRA training tools and scripts. TutuTrainer would not exist without the work shared by these builders.
installer:
https://zhaotutu.xyz/downloads/tututrainer/
I’d really appreciate feedback from people who train LoRAs or use ComfyUI regularly, especially around where the training workflow still feels confusing, fragile, or too technical.
Posted Jun 3, 2026, 1:22 PM UTC