August 14, 2025Applied SciencesOpen Access

Knit-FLUX: Simulation of Knitted Fabric Images Based on Low-Rank Adaptation of Diffusion Models

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The low-rank adaptation method allows stable generation of knitted fabric images in batches using textual prompts, enhancing creativity.
Generated images exhibit clear textures and accurate structures, achieving a structural similarity index of 0.6528, resembling real fabrics.
Experiments utilized the FLUX diffusion model, contrasting its performance with various generative models for optimized image quality.
Efficiency in this technique offers a low-cost solution, potentially revolutionizing the design process in the deep learning domain.

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Simulation generates high-quality knitted fabric images using low-rank adaptation, suggesting efficient design approaches.

Liu et al. (2025) studied this question.

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