Index of everything on this site: https://ai.hiina.space/index.md
The question behind this report: can a team of agents make a readable comic or manga by splitting the work the way a human studio does, with an author, a storyboarder, a panel artist, a letterer and an editor, instead of asking one image model for whole pages? And can a vision-language model (VLM) act as a cold reader that critiques the finished, lettered pages and sends notes back into the loop? The report covers published systems and hobby repos, the off-the-shelf parts for each artist role, how well VLMs actually read comics, a concrete pipeline, a costed pilot, and what carries over to agent-built Manim animations and explainer sites.
Yes, people have tested agent-made comics. The "studio" split in question is already how both researchers and hobbyists build them. The closest published system, MangaFlow (May 2026 preprint), uses a planner, a layout agent, a panel agent, a reference-conditioned renderer and a text agent. It beats direct whole-page generation by Gemini and FLUX.2 on panel-count accuracy (100% against 28-44%) and on an LLM-scored readability metric. At least two small Claude Code/Codex skill repos have independently built the same pattern: storyboard, image model told to draw no text, then lettering in code. So the architecture is not new. The open part is the step that matters most for this design. Nobody I found closes the loop with a cold-reading VLM that critiques the assembled, lettered pages and sends notes back to the storyboarder. Nobody has validated a comic-readability judge against human readers. And nobody has tested whether LLM-drawn SVG thumbnails help modern edit-capable image models. The evaluation side is harder than it looks. Published frontier VLMs (mostly 2025-era) score 0% on strict manga OCR, sort panels at 46% against humans' 83%, and the best judge-human correlations for storyboard consistency sit at 0.66-0.71. So a VLM reader is a usable but noisy instrument that has to be calibrated before it can be trusted. A 6-page pilot that runs the key ablations costs roughly $40-130 in API spend by my estimate, or about $25-30 if panels render locally on a single 24 GB consumer GPU. The real cost is human attention at three checkpoints plus a small group of human readers. The lessons carry straight over to agentic Manim and explainer sites, where the evidence says the planner artifact matters far more than the critic.
Next section: https://ai.hiina.space/reports/agent-comic-and-manga-studios/02-whole-page-models-draw-pages-not-comics.md
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