# S2ED: From Story to Executable Descriptions for Consistency-Aware Story Illustration

Source: [S2ED: From Story to Executable Descriptions for Consistency-Aware Story Illustration](<https://www.sota2.com/research/paper/6a0fe30bf984739ed6739d7f>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2026-05-23T05:00:11.413Z

Authors: Sijing Yin, Jiamou Liu, Xiao Tang, Yaser Shakib, Qian Liu

Published: 2026-05-21T13:16:32.000Z

## Abstract

Multi-frame story illustration requires long-horizon coherence beyond single-image text-to-image generation, including narrative decomposition and persistent character identity, layout, and affect across frames. We propose Story-to-Executable Descriptions (S2ED), a training-free, model-agnostic, prompt-layer framework that converts a full story into a sequence of explicit, editable executable descriptions for more consistent rendering. S2ED coordinates three agents to segment the narrative, ground canonical character attributes, and enrich spatial and affective cues, enabling interpretable prompt-carried state propagation and local edits to repair drift without retraining the generator. Experiments on Flintstones and Shakoo Maku show that S2ED improves sequence-level consistency and character fidelity over strong prompting, large-model planning, and a reference training-based method, under both automatic metrics and human judgments. We also deploy S2ED in an end-to-end story-to-storybook system for children's illustrated stories, with a supplementary video.

## Recorded benchmark results

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

- [Story Generation on Flintstones](<https://www.sota2.com/research/sota/story-generation-on-flintstones.md>): Story Generation; Flintstones; CLIPScore: 0.298.

- [Story-to-image generation on Shakoo Maku](<https://www.sota2.com/research/sota/story-to-image-generation-on-shakoo-maku.md>): Story-to-image generation; Shakoo Maku; CLIPScore: 0.283.

- [Story-to-image generation on Shakoo Maku (human evaluation)](<https://www.sota2.com/research/sota/story-to-image-generation-on-shakoo-maku-human-evaluation.md>): Story-to-image generation; Shakoo Maku (human evaluation); Character Consistency: 4.4.

## Original sources and implementation

[Original paper](<https://arxiv.org/abs/2605.22448>)

[PDF](<https://arxiv.org/pdf/2605.22448.pdf>)