MT Forcing: Towards Stable and Consistent Multi-Turn Image Editing with Autoregressive Diffusion

Houyuan Chen; Fanzhou Wang; Xiangyu Fan; Zesong Qiu; Yukun Wei; Songlin Yang; Zhitao Yang; Lvmin Zhang; Pei Yang; Hao Zhao; Lei Yang; Anyi Rao

arXiv · 2610.25404

MT Forcing: Towards Stable and Consistent Multi-Turn Image Editing with Autoregressive Diffusion

Houyuan Chen·Fanzhou Wang·Xiangyu Fan·Zesong Qiu·Yukun Wei·Songlin Yang·Zhitao Yang·Lvmin Zhang·Pei Yang·Hao Zhao·Lei Yang·Anyi Rao

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Abstract

Multi-turn image editing aims to modify an image according to a sequence of instructions, enabling more effective interactive visual content creation for users. However, existing methods often exhibit noticeable drift after only a few editing turns, manifesting in two aspects: 1) unstable visual quality, with accumulating artifacts and degraded details; and 2) inconsistent image content, with unintended changes to preserved regions and prior edits. To address these challenges, we propose MT Forcing, a novel training paradigm for multi-turn image editing with unified multimodal models (UMMs) based on autoregressive diffusion. Specifically, we propose Single-Turn Distribution Matching Distillation (Single-Turn DMD), which supervises student self-rollouts with a teacher that applies cumulative edits to the source image in a single turn, providing visual-quality guidance without recursive error accumulation. Additionally, we introduce Teacher-Forcing Guidance, which supervises history-dependent transitions on reference trajectories during warmup and as a regularizer during distillation, encouraging cross-turn content consistency beyond what per-turn distribution matching alone can ensure. Extensive experiments demonstrate that our approach significantly improves the multi-turn image editing capabilities of UMMs, yielding more stable visual quality and stronger cross-turn consistency.

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Houyuan Chen, Fanzhou Wang, Xiangyu Fan, Zesong Qiu, Yukun Wei, Songlin Yang, Zhitao Yang, Lvmin Zhang, Pei Yang, Hao Zhao, Lei Yang, Anyi Rao. 2026-10-18. MT Forcing: Towards Stable and Consistent Multi-Turn Image Editing with Autoregressive Diffusion. https://arxiv.org/abs/2610.25404

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