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

MarkTechPost / 4/6/2026

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Key Points

The article provides a step-by-step tutorial to build an end-to-end video object removal and inpainting pipeline using Netflix’s VOID model alongside CogVideoX.
It covers environment setup, dependency installation, repository cloning, downloading the base model and VOID checkpoint, and preparing the required sample inputs.
It emphasizes practical workflow design, including custom prompt handling to drive the inpainting/removal behavior during inference.
The tutorial walks through running sample inference to verify the pipeline works from inputs to generated output videos.

In this tutorial, we build and run an advanced pipeline for Netflix’s VOID model. We set up the environment, install all required dependencies, clone the repository, download the official base model and VOID checkpoint, and prepare the sample inputs needed for video object removal. We also make the workflow more practical by allowing secure terminal-style […]

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