Sprite-Pipeline: turn AI video into game-ready 2D sprites

Sprite-Pipeline is a newly open-sourced toolkit designed for indie game developers and AI builders who want to turn rough character animation clips into production-ready 2D sprite sheets.

Generating character movement with models like Kling has gotten remarkably easy, but turning raw video into clean assets that actually work inside a game engine remains a massive headache. Sprite-Pipeline solves that exact transition.

What it does

The pipeline takes AI-generated motion footage and converts it into clean, horizontal sprite strips formatted specifically for Unity and Godot.

Under the hood, it uses an FFmpeg wrapper to extract ordered PNG frames, strips out flat or light background mats, and packs the results into transparent 256x256 cells. Crucially, it preserves the original video canvas space throughout the process. This keeps character scale, ground contact, and bounding margins consistent across different actions instead of jumping around.

The tool outputs a horizontal sprite strip, individual frame cells, a visual preview, and a JSON validation report. When you do not specify a frame count, it defaults to a clean 24-frame sequence.

It also ships with a local Node.js browser viewer. Instead of blindly importing raw assets into your game engine, you can review motion playback and inspect frame alignment locally in your browser before promoting approved sheets to your final production folder.

How to get it running

The code is available on GitHub under LayrKits/Sprite-Pipeline. The repository deliberately excludes bloated video files and demo assets to stay minimal and fast to clone.

To run it, you need a standard Python 3 environment, Node.js for the viewer server, and a system-level FFmpeg installation. Once your dependencies are set up, you simply drop source video clips into the input folder and execute the processing scripts.

LayrKits also included practical reference guides for image and video prompting. These text files explain how to prompt models for cleaner starting poses and turnarounds, minimizing background noise right at the generation stage. There is even a dedicated skill file that lets coding assistants walk you through extraction and validation automatically.

Early workflow feedback indicates this approach produces cleaner edge transparency and smoother motion than previous methods like the Codex pet skill experiment.

Why it matters

We think Sprite-Pipeline bridges the exact gap holding generative AI back from serious game production. AI video looks impressive in a demo, but game engines do not run MP4 files for character controllers. They need consistent sprite strips with clean alpha channels and fixed pivots.

Instead of trying to train an entirely new model, this project wisely acts as an engineering wrapper. It takes messy AI output and subjects it to strict game-ready constraints.

If you are an indie developer prototyping a 2D action title, this toolkit is an immediate time-saver that cuts out hours of manual matte cleanup. Just keep in mind that background removal still works best when your source videos are prompted with flat or light backgrounds from the start.