Diffusion without CFG? Correction Training for Diffusion Models

Sadly, all the tests were done using NanoGen, but maybe someone can try the idea on Krea 2 or Qwen-Image 2.1. Does our method work beyond ImageNet generation? Yes. We test it on NanoGen, a unified diffusion transformer implementation for ImageNet and text-to-image generation. The base model is pretrained on BLIP-3o's Short-Caption, Long-Caption, and JourneyDB subsets, whose original releases contain approximately 36M image–text pairs in total. Below, we show samples without guidance (top row) and with correction (bottom row). Correction significantly improves the samples, producing cleaner object structures. submitted by /u/Apprehensive_Sky892 [link] [comments]

Source: r/StableDiffusion | 2026-10-13