[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-seo-140621-105":3,"doc-detail-140621-en":80,"detail-sidebar-cat-0-en-105":97},{"code":4,"msg":5,"data":6},0,"ok",{"site_id":7,"language":8,"slug":9,"title":10,"keywords":11,"description":12,"schema_data":13,"social_meta":73,"head_meta":75,"extra_data":77,"updated_unix":79},105,"en","ai-driven-comic-generation-exploring-the-creative-potential-of-generative-ai-in-digital-storytelling-master-of-science-thesis","AI-Driven Comic Generation - Exploring the Creative Potential of Generative AI in Digital Storytelling - Master of Science Thesis","","Creative sectors have adopted AI for modern ways to generate digital content. This thesis presents an AI-based framework to automate comic creation, combining GANs with Stable Diffusion for integrated text-to-visual generation. It aligns narrative outlining from text with automated image synthesis to produce adaptable comic panels with appropriate visual structure. Speech-bubble placement is optimized via a dedicated algorithm to keep readability and aesthetics. Iterative training and tuning are evaluated using coherence observations and quantitative metrics such as FID for images and BLEU for text, alongside user feedback.",{"@graph":14,"@context":72},[15,34,55],{"@type":16,"itemListElement":17},"BreadcrumbList",[18,23,27,31],{"item":19,"name":20,"@type":21,"position":22},"https://docshare.wps.com","Home","ListItem",1,{"item":24,"name":25,"@type":21,"position":26},"https://docshare.wps.com/document/","Document",2,{"item":28,"name":29,"@type":21,"position":30},"https://docshare.wps.com/document/research-report/","Research & Report",3,{"item":32,"name":10,"@type":21,"position":33},"https://docshare.wps.com/document/ai-driven-comic-generation-exploring-the-creative-potential-of-generative-ai-in-digital-storytelling-master-of-science-thesis/140621/",4,{"url":32,"name":10,"@type":35,"image":36,"author":41,"headline":10,"publisher":44,"fileFormat":47,"inLanguage":8,"description":12,"dateModified":48,"datePublished":49,"encodingFormat":47,"isAccessibleForFree":50,"interactionStatistic":51},"DigitalDocument",{"url":37,"@type":38,"width":39,"height":40},"https://docshare.wps.com/thumbnails/ai-driven-comic-generation-exploring-the-creative-potential-of-generative-ai-in-digital-storytelling-master-of-science-thesis/140621.png","ImageObject",300,407,{"name":42,"@type":43},"Sarah ","Person",{"url":19,"name":45,"@type":46},"DocShare","Organization","application/pdf","2026-09-11","2026-08-24",true,{"@type":52,"interactionType":53,"userInteractionCount":26},"InteractionCounter",{"@type":54},"ViewAction",{"@type":56,"mainEntity":57},"FAQPage",[58,64,68],{"name":59,"@type":60,"acceptedAnswer":61},"What core system does the thesis propose for generating comics with AI?","Question",{"text":62,"@type":63},"The thesis proposes an integrated framework that combines GAN-based text generation and pre-processing with Stable Diffusion for image synthesis. It connects text narrative outlining to automated visual generation to create comic panels with coherent structure.","Answer",{"name":65,"@type":60,"acceptedAnswer":66},"How does the system ensure proper placement of speech bubbles and readable text?",{"text":67,"@type":63},"A specially developed algorithm determines the optimal placement of speech bubbles so the text works well and maintains an aesthetic appearance. This supports alignment between the text elements and the generated visuals.",{"name":69,"@type":60,"acceptedAnswer":70},"What metrics and evaluation approaches are used to validate the model?",{"text":71,"@type":63},"Evaluation includes qualitative observations of visual coherence and narrative alignment, and quantitative metrics such as FID for image quality and BLEU for text assessment. Broader user feedback is also suggested for fuller validation.","https://schema.org",{"og:url":32,"og:type":74,"og:title":10,"og:site_name":45,"og:description":12},"article",{"robots":76,"canonical":32},"index,follow",{"doc_id":78,"site_id":7},140621,1787586802,{"code":4,"msg":81,"data":82},"success",{"doc_id":78,"user_id":83,"nickname":42,"user_avatar":84,"doc_module":4,"category_id":85,"category_name":29,"doc_title":10,"doc_description":12,"doc_content":86,"file_id":87,"file_url":88,"file_type":89,"file_size":90,"view_count":26,"is_deleted":4,"is_public":22,"is_downloadable":22,"audit_status":22,"page_count":91,"language":92,"language_code":8,"site_id":7,"html_lang":8,"table_of_contents":93,"faqs":94,"seo_title":95,"seo_description":12,"update_tm":79,"read_time":96},962085320529,"https://ap-avatar.wpscdn.com/davatar_9964176cb1d06d4a9deccf72a44ae3dc",8,"Hochschule Rhein-Waal  \nRhine-Waal University of Applied Sciences  \nFaculty of Communication and Environment  \nProfessor Dr.-Ing. Ido Iurgel  \nProfessor Dr. Frank Zimmer  \nAI-Driven Comic Generation: Exploring the Creative Potential of Generative AI in Digital Storytelling  \nA Thesis Submitted in  \nPartial Fulfillment of the  \nRequirements of the Degree of  \nMaster of Science  \nin  \nInformation Engineering and Computer Science  \nby  \nUmair Afzal  \nMatriculation number:  \n28004  \nSubmission date:  \n07-07-2025  \nAcknowledgement  \nFor maximum appreciation, I would like to point out that my supervisors, Prof. Dr.-Ing. Ido Iurgel and Prof. Dr. Frank Zimmer demonstrated exceptional dedication and mentorship that significantly shaped this work. This work would not have come about without their encouragement and their refreshing suggestions.  \nA cohort of friends and colleagues, whom I treasure, I thank especially. They not only constantly motivated me on this journey but also engaged with me in enriching discussions. Such great aid drummed up morale to face the compounded hurdles that this journey had to present.  \nTo my family, I owe the greatest enshrinement. They have supported me, bestowing remarkable patience during this entire quest to achieve something. As they cheered me all along, it spurred me to achieve this.  \nAbstract  \nCreative sectors have accepted AI into their industry for establishing modern methods of generating digital content. This study introduces a novel AI-based framework based on AI technology, using GANs along with Stable Diffusion models to automate comic development. This study looks at juxtaposing narrative outlining through text with automated visual generation toward an integrated system that produces adaptable comic panels with appropriate visual structure. The research methodology that the project has followed can be built on three cornerstones: advanced GAN schemes for text generation and pre-processing, followed by image synthesis through Stable Diffusion. A specially developed algorithm for speech bubbles determined the optimal placement of that text, so it would function well and maintain a semblance of beauty. By iteratively refining and tuning the model, this system was evaluated. Initial observations regarding visual coherence and narrative alignment were hopeful, but further tests using quantitative metrics-for instance, FID for images and BLEU for text, as well as broader user feedback-would be needed to validate the efficacy of the model entirely.  \nThe impediments were, however, GAN mode collapse, irregular speech-bubble layout, and inconsistent artistic styles. Further research would uncover the potential role of AI systems in easing the comic generation process for creators, educators, and designers of digital content to enhance accessibility and efficiency.  \nThis method shows promising applicability in various domains like automated narratives, customizable comics, and educational material. Further along the way, the scientists plan to improve panel storytelling, create an intuitive interface, and expand the dataset to include more artistic styles. Such enhancements could maximize the gain from automated comic conception.  \nKeywords: AI-driven comics, Generative Adversarial Networks, Stable Diffusion, automated storytelling, speech bubble optimization, image synthesis, digital content creation.  \nList of Abbreviations  \nAI Artificial Intelligence  \nGAN Generative Adversarial Network  \nCNN Convolutional Neural Network  \nLDM Latent Diffusion Model  \nGPT Generative Pre-trained Transformer  \nMLP Multilayer Perceptron  \nYOLO You Only Look Once  \nBERT Bidirectional Encoder Representations from Transformers  \nFID Fréchet Inception Distance  \nBLEU Bilingual Evaluation Understudy  \nNLP Natural Language Processing  \nOCR Optical Character Recognition  \nEDA Exploratory Data Analysis  \nRNN Recurrent Neural Network  \nT5 Text-To-Text Transfer Transformer  \nViT Vision Transformer  \nGNN Graph Neural Net","cbCaip3JzedDoags","https://ap.wps.com/l/cbCaip3JzedDoags","pdf",2432088,111,"English","# Introduction\n## Background and Motivation\n## Problem Statement\n## Overview of methodology\n## Layout of the thesis\n# Literature Review\n## AI in creative Industries\n## AI for Image Generation in Comics\n## AI for Text Generation in Comics\n## Speech Bubble Placement and Text-Image Alignment\n## Existing Approaches to AI-Generated Comics","[{\"question\":\"What core system does the thesis propose for generating comics with AI?\",\"answer\":\"The thesis proposes an integrated framework that combines GAN-based text generation and pre-processing with Stable Diffusion for image synthesis. It connects text narrative outlining to automated visual generation to create comic panels with coherent structure.\"},{\"question\":\"How does the system ensure proper placement of speech bubbles and readable text?\",\"answer\":\"A specially developed algorithm determines the optimal placement of speech bubbles so the text works well and maintains an aesthetic appearance. This supports alignment between the text elements and the generated visuals.\"},{\"question\":\"What metrics and evaluation approaches are used to validate the model?\",\"answer\":\"Evaluation includes qualitative observations of visual coherence and narrative alignment, and quantitative metrics such as FID for image quality and BLEU for text assessment. Broader user feedback is also suggested for fuller validation.\"}]","AI-Driven Comic Generation - Exploring the Creative Potential of Generative AI in Digital Storytelling - Master of Science Thesis | PDF",280,{"code":4,"msg":81,"data":98},[99,103,107,111,116,121,126,129,134,137,141],{"id":22,"doc_module":4,"doc_module_name":25,"category_name":100,"show_sort_weight":101,"slug":102},"Story & Novel",90,"story-novel",{"id":26,"doc_module":4,"doc_module_name":25,"category_name":104,"show_sort_weight":105,"slug":106},"Literature",80,"literature",{"id":33,"doc_module":4,"doc_module_name":25,"category_name":108,"show_sort_weight":109,"slug":110},"Exam",70,"exam",{"id":112,"doc_module":4,"doc_module_name":25,"category_name":113,"show_sort_weight":114,"slug":115},5,"Comic",60,"comic",{"id":117,"doc_module":4,"doc_module_name":25,"category_name":118,"show_sort_weight":119,"slug":120},6,"Technology",50,"technology",{"id":122,"doc_module":4,"doc_module_name":25,"category_name":123,"show_sort_weight":124,"slug":125},7,"Healthcare",40,"healthcare",{"id":85,"doc_module":4,"doc_module_name":25,"category_name":29,"show_sort_weight":127,"slug":128},30,"research-report",{"id":130,"doc_module":4,"doc_module_name":25,"category_name":131,"show_sort_weight":132,"slug":133},9,"Religion & Spirituality",20,"religion-spirituality",{"id":132,"doc_module":4,"doc_module_name":25,"category_name":135,"show_sort_weight":132,"slug":136},"World Cup","world-cup",{"id":138,"doc_module":4,"doc_module_name":25,"category_name":139,"show_sort_weight":138,"slug":140},10,"Lifestyle","lifestyle",{"id":142,"doc_module":4,"doc_module_name":25,"category_name":143,"show_sort_weight":112,"slug":144},19,"General","general"]