ViStoryBench/vistorybench

Provides a modular evaluation framework built on a `BaseEvaluator` abstract class that supports pluggable metrics for assessing narrative consistency, character fidelity, and visual coherence across 80 diverse stories in Chinese and English. The benchmark includes standardized dataset adapters for major story visualization methods (StoryDiffusion, UNO, StoryGen, etc.) and handles long-text prompts via SD embeddings to overcome token limitations. Published results and an active leaderboard are maintained on HuggingFace and a dedicated web portal for continuous community evaluation.

139 stars.