▲ 1 r/WhatIsMyCQS
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u/Dorisl_Scott — 13 hours ago
▲ 1 r/comfyui
Update: English user guide for TutuTrainer is now available
Hi ~
Yesterday I shared TutuTrainer here, and the response was much warmer than I expected. Thank you so much for trying it, commenting, and pointing out problems.
For anyone who missed my previous post, TutuTrainer is a Windows desktop tool for LoRA model training. The goal is to make training easier for regular creators.
You install it like a normal Windows app. There is no need to manually configure complex training parameters, and no need to set up a Python/CUDA environment yourself. The software automatically configures training parameters based on your dataset and hardware, so users can start training more easily and get usable results with less trial and error.
A few people mentioned that the tool was hard to get started with, especially because the English documentation and localization were not clear enough.
So today I made a dedicated English user guide:
https://zhaotutu.xyz/en/docs/tutu-trainer/user-guide/
It covers installation, first launch, dataset preparation, model architecture selection, starting a training job, monitoring training, the auto-stop timer, checkpoints, and common usage questions.
Also, a small note about me: I have not been using Reddit for very long, but I’m not new to the AI creator community. I have been active for a long time in Chinese-speaking AIGC communities, sharing tools, workflows, tutorials, and model-related resources. I understand why people may be cautious with a new Windows tool, so I’m trying to make the information clearer and more transparent step by step.
TutuTrainer is still being improved. Thanks again for the support. It really helps.
u/Dorisl_Scott — 6 days ago
▲ 30 r/comfyui
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.
u/Dorisl_Scott — 7 days ago