LLMs & ModelsFeatured5 min read
AI Research
Qwen just taught diffusion models a trick from the LLM playbook: RL beats supervised fine-tuning
The Qwen-Image-2.0-RL report details a post-training pipeline that combines RLHF, on-policy distillation, and composite reward models to improve text-to-image and image editing quality. The approach yields measurable gains across aesthetic quality, instruction following, and face identity preservation, borrowing techniques from LLM alignment research.
2026-07-20