Google 推出 Diffusion Controller 统一简化图像生成控制
原标题：How Diffusion Controller unifies and simplifies AI image generation
AI 摘要
Google Research 提出 Diffusion Controller，一种轻量级“转向阻尼器”网络，可在不修改基础模型权重的情况下精确引导图像生成，提升提示词对齐度。该方法将去噪过程重构为连续控制问题，并支持对闭源、受限访问模型进行黑盒/灰盒控制。在 Stable Diffusion v1.4 上，其灰盒版本在 HPS-v2 胜率上超过 LoRA，白盒版本对基线模型取得 90% 胜率。
正文节选
September 29, 2026 Chih-wei Hsu and Moonkyung Ryu , Software Engineers, Google Research We introduce Diffusion Controller, a lightweight "steering damper" network that precisely steers image generation to achieve significantly better prompt alignment. It seamlessly attaches to even access-restricted, closed-source models, boosting image quality without breaking baseline stability. The rapid advancement of text-to-image AI models, such as Nano Banana, Stable Diffusion and Flux, has fundamentally