基于双重优化稳定扩散模型的文本生成图像方法

doi:10.16451/j.cnki.issn1003-6059.202504005

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Abstract The stable diffusion(SD) model is unable to ensure full alignment between the generated images and the input textual prompts, while handling text prompts containing multiple objects. Moreover, the complete retraining of the SD model requires enormous computational resources. To solve this problem, a training-free method, text-to-image generation via dual optimization stable diffusion model(DualOpt-SD) is proposed. First, a layout-to-image generation(L2I) model is integrated into a text-to-image generation(T2I) model through a generation framework based on a pre-trained SD model. Next, the dual optimization(DualOpt) strategy is designed to optimize the output noise by the model during the inference process. DualOpt consists of two parts: one part adjusts the prior knowledge learned by L2I and T2I dynamically based on attention scores, and the other part focuses on the requirements of different denoising stages and applies varying attention to L2I and T2I. Experiments demonstrate that when the text prompt contains multiple objects, DualOpt-SD improves compositional accuracy while preserving strong interpretative capabilities of SD model. Furthermore, DualOpt-SD achieves higher overall image generation performance and produces images with high realism and reasonable object placement.

Key words： Stable Diffusion Model Layout-to-Image Generation Text-to-Image Generation Multi-object Text Prompt

Received: 08 January 2025

ZTFLH:

TP183

Fund:National Natural Science Foundation of China(No.61305001), Natural Science Foundation of Heilongjiang Provin-ce(No.F201222)

Corresponding Authors: HUANG Jinjie, Ph.D., professor. His research interests include deep learning, big data models, pattern recognition, artificial intelligence, and intelligent systems and control.

About author:: LIU Bin, Master student. His research interests include deep learning and image gene-ration.

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Cite this article:

HUANG Jinjie,LIU Bin. Text-to-Image Generation via Dual Optimization Stable Diffusion Model[J]. Pattern Recognition and Artificial Intelligence, 2025, 38(4): 359-373.

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http://manu46.magtech.com.cn/Jweb_prai/EN/10.16451/j.cnki.issn1003-6059.202504005 OR http://manu46.magtech.com.cn/Jweb_prai/EN/Y2025/V38/I4/359

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