# Exitflow

- **Event:** [Hack FLUX: Beyond One](https://cerebralvalley.ai/e/bfl-hackathon)
- **When:** Nov 22 at 9:00 AM – Nov 23 at 5:00 PM (PST)
- **Where:** Shack15, San Francisco, CA
- **Team:** [Lily Su](https://cerebralvalley.ai/u/lilyxsu)
- **GitHub:** https://github.com/LilySu/ExitFlow
- **Demo video:** https://youtu.be/1D55OPRQC2M
- **Gallery:** https://cerebralvalley.ai/e/bfl-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/bfl-hackathon/hackathon/gallery/11

Architects currently test evacuation flows using abstract dots on 2D maps. We believe safety planning deserves better—it should be visualized, photorealistic, and actionable.

We are solving Problem Statement One: Cross-Image Consistency. Our engine uses Fal AI to generate completely different crowd behaviors while keeping the original building geometry pixel-perfect across every scenario.

We upload one facility photo. Scenario A generates a calm exit flow. Scenario B simulates a high-stress emergency evacuation. The lighting, textures, and architecture remain identical—only the human behavior changes.

This allows safety planners to stress-test infrastructure visually before construction begins. With ExitFlow, we aren't just generating images—we're designing safer exits and potentially saving lives.

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Markdown version of https://cerebralvalley.ai/e/bfl-hackathon/hackathon/gallery/11. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt