How to Build a Netflix VOID Video Object Removal and Inpainting Pipeline with CogVideoX, Custom Prompting, and End-to-End Sample Inference

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I’ve talked to a couple Nix maintainers and they’ve considered caching parts of the configure step, without caching its outputs (because there are no outputs, other than derivation files!) in order to speed this up. This is much trickier because it requires serializing parts of the evaluator state.

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