Video toolingLocal video generation on my own GPU
Local video generation on my own GPU
Video generated on my own graphics card instead of a paid cloud service — an experiment costs a second, not an invoice.
What it is
Neural video generation is almost always bought from a cloud service by the piece. That works while you already know what you want. But in real work the first hundred attempts are rubbish: you are still tuning the wording, the length, the style, the camera move. Paid by the piece, that tuning turns into a budget line, and people start economising in the one place where they should not.
Here the models run on my own card, and an attempt costs time, and time only. A hundred failed runs on a rented service is an invoice; on your own card it is an evening. As a side effect, neither the source material nor the result goes anywhere, which matters when somebody else’s footage is in the frame.
Specifications: local diffusion models, a Python harness, an RTX 5060 graphics card. The limit is honest too and comes down to the card’s memory: clip length and resolution here are lower than a paid service gives. This is a working tool for tuning and drafts, not a replacement for the cloud on a final render. It was used by the Content Factory in real work.
Nearby work
Zhnyva — a clip farm that runs itselfA clip farm on a server: it walks the clip-campaign marketplaces itself, picks the moments with a model, cuts them with subtitles and hands over a batch to publish, already marked as an ad.
A catalogue of 237 Premiere plugins — other people's, not mineA searchable reference to 237 Premiere plugins and presets — other people’s, not mine — with a column no store has: will this still run in the 2026 version.Premiere Panel — auto-editing panel for Adobe Premiere ProAn extension inside Premiere Pro that takes over the mechanical half of editing: finding the moments, planning the camera cuts, building the subtitles, levelling the sound.