No more face mashups: UMO meets Qwen Edit
We rebuilt multi‑identity image editing on Qwen Edit around global matching and reward-driven training If you’ve tried to edit images with multiple people, you’ve felt it: faces average together, attributes leak across subjects, and “who’s who?” becomes a guessing game. As the headcount grows, most pipelines