Generating coherent comic with rich story using ChatGPT and Stable Diffusion
On the map: Diffusion models → Image generation, text-to-image and editing
Abstract (arXiv)
Past work demonstrated that using neural networks, we can extend unfinished music pieces while maintaining the music style of the musician. With recent advancements in large language models and diffusion models, we are now capable of generating comics with an interesting storyline while maintaining the art style of the artist. In this paper, we used ChatGPT to generate storylines and dialogue and then generated the comic using stable diffusion. We introduced a novel way to evaluate AI-generated stories, and we achieved SOTA performance on character fidelity and art style by fine-tuning stable diffusion using LoRA, ControlNet, etc.
Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). Placed in Image generation, text-to-image and editing, one of 14 directions in Diffusion models. Builds on 8 of its 23 references that are in the map. First posted on arXiv 16 May 2023.
Builds on
8 of 23 references.
Closest ancestors · 2
Same direction, newest first
- 2023Adding Conditional Control to Text-to-Image Diffusion Models10 Feb
- 2022DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation25 Aug
Other references · 6
- 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
- 2021LoRA: Low-Rank Adaptation of Large Language Modelscited by 14,084
- 2022An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversioncited by 2,231
- 2023HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Facecited by 1,173
- 2023Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation Modelscited by 659
- 2019Skip-Clip: Self-Supervised Spatiotemporal Representation Learning by Future Clip Order Rankingcited by 8
Built on by
Citing papers per year: 2024: 3; 2025: 1; 2026: 2.
6 papers.
- 2024A Survey on LoRA of Large Language Modelscited by 67
- 2024Group Diffusion Transformers are Unsupervised Multitask Learnerscited by 22
- 2024One missing piece in Vision and Language: A Survey on Comics Understandingcited by 8
- 2025Toyteller: AI-powered Visual Storytelling Through Toy-Playing with Character Symbolscited by 6
- 2026MangaFlow: An End-to-End Agentic Framework for Controllable Story to Manga Generationcited by 1
- 2026Investigating Social Bias in Narrative Image Generationcited by 1
- 2026Investigating Social Bias in Narrative Image Generation3 Aug 2026
- 2026MangaFlow: An End-to-End Agentic Framework for Controllable Story to Manga Generation27 May 2026
- 2025Toyteller: AI-powered Visual Storytelling Through Toy-Playing with Character Symbols23 Jan 2025
- 2024Group Diffusion Transformers are Unsupervised Multitask Learners19 Oct 2024
- 2024One missing piece in Vision and Language: A Survey on Comics Understanding14 Sep 2024
- 2024A Survey on LoRA of Large Language Models8 Jul 2024
Similar, not cited
Close in wording, no citation either way
- 2024ORACLE: Leveraging Mutual Information for Consistent Character Generation with LoRAs in Diffusion Models
- 2023RAPHAEL: Text-to-Image Generation via Large Mixture of Diffusion Paths
- 2022The Stable Artist: Steering Semantics in Diffusion Latent Space
- 2024Evolving Storytelling: Benchmarks and Methods for New Character Customization with Diffusion Models
- 2023Zero-shot Generation of Coherent Storybook from Plain Text Story using Diffusion Models
- 2024ARTIST: Improving the Generation of Text-rich Images with Disentangled Diffusion Models and Large Language Models
- 2025Enhancing Creative Generation on Stable Diffusion-based Models
- 2023Improved Visual Story Generation with Adaptive Context Modeling