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title: Visual Chronometer
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sdk: gradio
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app_file: app.py
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title: Visual Chronometer via NexaAPI
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emoji: π¬
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sdk: gradio
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sdk_version: 4.0.0
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license: mit
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# Visual Chronometer + NexaAPI: AI Video Generation Demo
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Based on the research paper: **"The Pulse of Motion: Measuring Physical Frame Rate from Visual Dynamics"** ([arXiv:2603.14375](https://huggingface.co/papers/2603.14375))
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## What This Demo Does
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1. **Generate AI videos** via NexaAPI (Veo 3, Kling v3, and 50+ models)
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2. **Analyze temporal quality** β inspired by Visual Chronometer's PhyFPS measurement
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The paper reveals that AI video generators suffer from "Chronometric Hallucination" β physically incorrect motion speeds. This demo lets you generate videos and visually inspect their temporal consistency.
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## Links
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- π **NexaAPI**: [nexa-api.com](https://nexa-api.com)
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- π **RapidAPI**: [rapidapi.com/user/nexaquency](https://rapidapi.com/user/nexaquency)
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- π **Python SDK**: `pip install nexaapi` | [PyPI](https://pypi.org/project/nexaapi)
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- π¦ **Node.js SDK**: `npm install nexaapi` | [npm](https://npmjs.com/package/nexaapi)
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- π **Paper**: [huggingface.co/papers/2603.14375](https://huggingface.co/papers/2603.14375)
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- π» **Visual Chronometer**: [github.com/taco-group/Visual_Chronometer](https://github.com/taco-group/Visual_Chronometer)
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