Compressing a Movie to 1MB and Reconstructing It With Wan 2.2
Willsolo · reddit · 2026-07-19
The author compressed a movie into less than **1MB** of text and then reconstructed it into a video with sound using **Wan 2.2**. ### Process - Sliced the video into about **2,000** shots using **PySceneDetect** - Used **Gemini Flash-Lite** to generate a structured description of around 100 words based on 8 frames extracted from each shot - The text was then compressed to roughly **320KB** using **xz** - Shots were sequentially fed into a self-hosted **Wan 2.2 TI2V-5B** on a RunPod A6000 to generate visuals - Audio was generated using **MMAudio** (sound effects) + **MusicGen** (soundtrack), with dialogue restored at original timestamps using **ElevenLabs TTS** ### Main Challenges - Character consistency was the hardest part: since each shot was generated independently, the author clustered character descriptions and injected them into the prompts - For shots exceeding 5 seconds, a "previous frame to next frame" chained generation was used ### Cost & Resources - Estimated cost is about **$30** per movie - Provided more detailed examples, cost comparisons, write-up links, and a GitHub repository The author is also asking for feedback.
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