Across six text-to-image models, stereotyped outputs rise from 25.9% of single photos to about 36% of storyboards and 44% of four-panel comics, with bias expressed through plot, character placement, and dialogue.
Generating coherent comic with rich story using ChatGPT and Stable Diffusion
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abstract
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.
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cs.CV 1years
2026 1verdicts
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Investigating Social Bias in Narrative Image Generation
Across six text-to-image models, stereotyped outputs rise from 25.9% of single photos to about 36% of storyboards and 44% of four-panel comics, with bias expressed through plot, character placement, and dialogue.