THAI TEXT-TO-IMAGE PROMPT ENGINEERING BY PRE-TRAINED LARGE LANGUAGE WITH STABLE DIFFUSION MODEL

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Volume 6 (2), December 2023, Pages 171-190

Pakpoom Mookdarsanit, Lawankorn Mookdarsanit

Chandrakasem Rajabhat University, Bangkok, Thailand, This email address is being protected from spambots. You need JavaScript enabled to view it., This email address is being protected from spambots. You need JavaScript enabled to view it.

Abstract

Text-to-image (T2I) generation is a new area of large language models (LLMs), a type of prompt engineering involving inputting a textual description to generate an image. To shift a new paradigm of Thai natural language processing (Thai-NLP), this paper first presents state-of-the-art Thai Text-to-Image prompt engineering (TH-T2I) to translate Thai text into a semantic image according to the semantic Thai textual description. The pre-trained SCB-MT-EN-TH model is employed for Text-to-Text (T2T) translation. Moreover, the image generation is done according to a semantic text prompt by a stable diffusion model. The T2T is evaluated by Bi-lingual Evaluation Understudy (BLEU), while T2I is done by Inception and Frechet Inception Distance (FID). The images generated by TH-T2I were of high quality, as measured by Inception and FID. TH-T2I contributes to a T2I baseline model in Thai, preserving the Thai cultural language on digital heritage.

Keywords:

Text-to-Image Translation, Thai Prompt Engineering, Stable Diffusion Model, Image Generation.

DOI: https://doi.org/10.32010/26166127.2023.6.2.171.190

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