docs: streamline 3 READMEs and fix EN language switcher (#6)
Slim overview across EN/zh/JA, drop badges/blockquote/contributing, trim LICENSE header; fix the English switcher to point at the repo homepage instead of the GitHub site root.
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Zonghao Yuan
GitHub
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English · [简体中文](README.zh-CN.md) · [日本語](README.ja.md)
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[English](https://github.com/zonghaoyuan/infiplot) · [简体中文](README.zh-CN.md) · [日本語](README.ja.md)
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# InfiPlot
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# ⚡ Overview
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> The first real-time, AI-generated interactive story game — describe the scene you've always fantasized about and watch it come alive in front of you: immersive, visual, and yours to step into. Every plot beat, every image, every character is designed and generated on the fly by a multimodal AI engine — all to grant that childhood wish of crossing over into the cartoon.
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[](LICENSE)
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[](https://github.com/zonghaoyuan/infiplot/stargazers)
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**▶ Free to play during the beta, no setup required — [infiplot.com](https://infiplot.com)**
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If you find this project interesting, a free ⭐ on the repo means the world to us — and it genuinely helps more people discover it. Thank you!
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---
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## What is InfiPlot
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InfiPlot is the world's first interactive story game with content generated by AI in real time. There are no pre-written plots, no pre-made characters, not even pre-recorded voices — everything is generated on demand, tailored to you. We're aiming for an experience on par with bishōjo games (galgame), otome games, and full-motion-video (FMV) games, while adding a personal, *participatory fantasy* — a richer, more immersive audio-visual experience that gives your imagination and curiosity free rein.
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InfiPlot is an interactive story game with content generated by AI in real time. There are no pre-written plots and no pre-made characters — everything is generated on demand, tailored to you.
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In one line: what we're building is an AI-generated, real-time take on *Love Is All Around* (《完蛋！我被美女包围了！》).
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@@ -25,7 +12,13 @@ Learn magic in the world of Harry Potter; become the one everyone at school ador
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---
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## Why we built it
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## 🌐 Live Demo
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Free to play, no setup required: [infiplot.com](https://infiplot.com)
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---
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## Team & Vision
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We're a group of young people from Tsinghua University and other schools.
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@@ -33,7 +26,9 @@ On one hand, we're longtime, devoted players of galgames, otome games, FMV, and
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On the other hand, we happen to know a little about large-model technology: enough to turn ideas into working software quickly with AI, and to have formed some modest views on the technical paths available and the limits of what today's tech can build.
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The spark came on April 22, 2026, when [@zan2434](https://x.com/zan2434) and others released [flipbook](https://flipbook.page/). We were stunned and delighted by this entirely new form of interaction. So one day in May, we agreed on the spot to build something like this — both to help people live out the fantasies they'd once set aside, and to explore the new modes of interaction that multimodal models make possible.
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The spark came on April 22, 2026, when [@zan2434](https://x.com/zan2434) and others released [flipbook](https://flipbook.page/). We were stunned and delighted by this entirely new form of interaction.
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So one day in May, we agreed on the spot to build something like this — both to help people live out the fantasies they'd once set aside, and to explore the new modes of interaction that multimodal models make possible.
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The project is still very early and many features are far from polished. We'd love your feedback — open an [issue](https://github.com/zonghaoyuan/infiplot/issues), or join our dev team and explore the new possibilities with us, and satisfy your own curiosity.
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@@ -47,7 +42,7 @@ Built on text, image, and audio models, we've assembled a multi-agent framework
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We call each complete playthrough a **story**.
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A story unfolds as a sequence of **scenes**. Each scene is one AI-painted background plus a short tree of **beats** — moments of narration, dialogue, and the occasional choice. You tap through a scene's beats and the image stays put; only when a choice leads somewhere genuinely new — another place, a new point of view, a jump in time — does the AI paint the next scene.
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A story unfolds as a sequence of scenes. Each scene is one AI-painted background plus a short tree of beats — moments of narration, dialogue, and the occasional choice. You tap through a scene's beats and the image stays put; only when a choice leads somewhere genuinely new — another place, a new point of view, a jump in time — does the AI paint the next scene.
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```mermaid
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flowchart TD
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@@ -64,9 +59,9 @@ flowchart TD
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SC -. speculatively pre-generate the next scene .-> W
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```
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While you're reading one scene, the engine **speculatively generates the scenes your choices could lead to** — and, for unavoidable next steps, the scene after that. By the time you pick a direction, its image is usually already painted, so the cut feels instant. If you still notice some lag today, don't worry — we're working hard to bring it down.
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While you're reading one scene, the engine speculatively generates the scenes your choices could lead to — and, for unavoidable next steps, the scene after that. By the time you pick a direction, its image is usually already painted, so the cut feels instant. If you still notice some lag today, don't worry — we're working hard to bring it down.
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Clicking the background itself (not a button) routes through a **vision** model: it reads where you tapped and decides whether you're exploring the current scene (it inserts a beat — no new image) or moving on (a new scene). This builds on a valuable lesson we learned from flipbook, and we believe it will become one of InfiPlot's defining features — taking the experience to the next level.
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Clicking the background itself (not a button) routes through a vision model: it reads where you tapped and decides whether you're exploring the current scene (it inserts a beat — no new image) or moving on (a new scene). This builds on a valuable lesson we learned from flipbook, and we believe it will become one of InfiPlot's defining features — taking the experience to the next level.
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There is no traditional game UI baked into the art. The AI paints the world in whatever style you pick — "stick figure on grid paper" or "cyberpunk noir" — and the dialogue panel and choice buttons are a light HTML layer drawn on top, tuned to sit over the scene. In other words, the UI fits the story of each playthrough, rather than staying the same every time.
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@@ -82,7 +77,7 @@ After deploy, set your environment variables in the Vercel project — see the [
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## Configuration guide
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InfiPlot talks to four kinds of model providers. **Text and Vision use any OpenAI-compatible endpoint** (OpenAI, Anthropic via an OpenAI-compat proxy, Gemini, OpenRouter, DeepSeek, local Ollama, …), so you can mix and match freely. **Image** currently goes to **Runware** (its own task-array protocol, not OpenAI-compatible), chosen for its combination of latency and cost. **TTS** uses **Xiaomi MiMo**'s own voice design / clone protocol (also not OpenAI-compatible) — per-character voice design, clone, and per-line delivery direction.
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InfiPlot talks to four kinds of model providers. **Text and Vision use any OpenAI-compatible endpoint**, so you can mix and match freely. **Image** currently goes to **Runware** (its own task-array protocol, not OpenAI-compatible). **TTS** uses **Xiaomi MiMo**'s own voice design / clone protocol — per-character voice design, clone, and per-line delivery direction.
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**1. Choose your providers**
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@@ -91,7 +86,7 @@ InfiPlot talks to four kinds of model providers. **Text and Vision use any OpenA
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| Text · story director | `TEXT_BASE_URL` `TEXT_API_KEY` `TEXT_MODEL` | ✅ | `deepseek-v4-flash` via DeepSeek |
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| Image · scene renderer | `IMAGE_BASE_URL` `IMAGE_API_KEY` `IMAGE_MODEL` | ✅ | `runware:400@6` (FLUX.2 [klein] 9B KV) via [Runware](https://runware.ai) |
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| Vision · click reader | `VISION_BASE_URL` `VISION_API_KEY` `VISION_MODEL` | ✅ | `gemini-3.5-flash` via Google |
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| TTS · per-character voice | `TTS_BASE_URL` `TTS_API_KEY` `TTS_SPEECH_MODEL` | optional — leave blank to run silently | `mimo-v2.5-tts` via Xiaomi MiMo (own protocol, not OpenAI-compat) |
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| TTS · per-character voice | `TTS_BASE_URL` `TTS_API_KEY` `TTS_SPEECH_MODEL` | optional — leave blank to run silently | `mimo-v2.5-tts` via Xiaomi MiMo |
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**2. Set the environment variables**
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@@ -105,44 +100,24 @@ See `apps/web/.env.example` for the exact shape.
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**3. Mind the cost**
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With the recommended trio, each **scene** is dominated by the text-LLM call. The FLUX.2 [klein] 9B KV image is roughly **\$0.00078** per scene (1792×1024, 4 steps, sub-second); the text call is the rest (very cheap with deepseek-v4-flash). Tapping through a scene's beats is free. To keep transitions instant, the engine also **pre-generates scenes you might pick but don't** — so real spend runs somewhat higher than the scenes you actually see. There is no rate limiting or auth out of the box — if you make your deployment public, your bill will reflect that. Add limits (and consider lowering the prefetch depth) before sharing widely.
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With the recommended trio, each scene's cost comes mainly from the image generation model. The FLUX.2 [klein] 9B KV image is roughly **\$0.00078** per scene (1792×1024, 4 steps, sub-second); the text model uses `deepseek-v4-flash`, so text costs are negligible by comparison. Tapping through a scene's beats is free. To keep transitions instant, the engine also pre-generates scenes you might pick but ultimately don't — so real spend runs somewhat higher than the scenes you actually see.
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---
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## Roadmap
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- [ ] Latency you can't perceive
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- [ ] Make generation latency imperceptible
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- [ ] Compatibility with more model providers
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- [ ] Free-form player input mid-story
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- [ ] Mobile browser support
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- [ ] Compatibility with most providers
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- [ ] User accounts and login
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- [ ] Upgrade from static images to motion video
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- [ ] Free-form player input mid-story
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- [ ] Voice interaction
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- [ ] Story sharing
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- [ ] Share the story you're playing
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- [ ] Mobile app
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---
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## Contributing
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Issues and pull requests are welcome. To run InfiPlot locally (Node 20+, pnpm 9+):
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```bash
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pnpm install
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cp apps/web/.env.example apps/web/.env.local # fill in your keys — see the Configuration guide
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pnpm dev # open http://localhost:3000
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```
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By contributing, you agree that your contributions are licensed under the AGPL-3.0.
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---
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## Star history
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[](https://star-history.com/#zonghaoyuan/infiplot&Date)
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---
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## License
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[AGPL-3.0](LICENSE) © InfiPlot. The core is fully open source. AGPL's "network use is distribution" clause means anyone who runs a modified version as a network service must also publish their source — this keeps the core open while leaving room for a future hosted or commercial edition.
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