Can a 12 GB GPU Run Local AI Video Dubbing? Testing Advice

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A common question is whether a local AI dubbing workflow can run on a 12 GB graphics card. The article explains that dubbing involves several stages rather than a single text-to-speech call, so the whole pipeline must be considered. Keeping every model loaded at once can exhaust limited VRAM, so running stages sequentially and saving intermediate results can reduce memory pressure at the cost of some load time. The author recommends testing with a short, representative sample that reflects the expected number of speakers and target language. Key measures include total turnaround, voice identity, intelligibility, and timing quality, since more VRAM alone does not guarantee faster inference.

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ProgrammingDEV Community ·

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