Game-Art Sprite Sheet Kit

A production kit that turns AI-generated character motion into reviewable 256x256 sprite sheets — frame extraction, background cleanup, strip packing, browser-based inspection, and approval promotion.

565stars
62forks
Custom / Unknown
Python

This kit addresses a specific gap between AI-generated character animation and usable game assets: raw AI motion output (from tools like Kling or similar generators) needs to become a clean, consistent sprite sheet before it’s usable in a game engine, and doing that by hand per-animation is tedious. The pipeline extracts ordered PNG frames from source video via an FFmpeg wrapper, removes light or flat chroma backgrounds, and packs frames into transparent 256x256 cells while preserving the original canvas so character scale stays consistent across different animations.

Output includes a horizontal sprite strip, individual frame cells, a preview image, and a JSON validation report, with a browser-based viewer for inspecting both generated and final sheets before deciding which to promote into the actual game project. The repo deliberately excludes generated assets, videos, and scratch outputs — it’s the tooling, not a library of art.

An AI-assistant skill is included for guided runs, and the README explicitly notes that AI agents should read AGENTS.md and the pipeline notes doc rather than the human-facing README for operational details. No LICENSE file is present in the repository, so despite being publicly available, it defaults to standard copyright (all rights reserved) rather than a formal open-source license.

What You Get

  • FFmpeg-based frame extraction from AI-generated animation or video sources
  • Background cleanup for light or flat chroma backgrounds on extracted frames
  • Consistent 256x256 transparent-cell sprite packing that preserves original canvas scale across animations
  • A browser viewer plus JSON validation reports for inspecting and approving sheets before promotion

Common Use Cases

  • Converting AI-generated character motion clips into usable game-ready sprite sheets
  • Standardizing sprite scale and framing across many different AI-generated animations
  • Reviewing and selectively approving generated animation output before it enters a game’s asset pipeline
  • Automating a previously manual frame-extraction-and-cleanup workflow for indie game art production

Under The Hood

Architecture The pipeline is a sequence of discrete stages — frame extraction (FFmpeg wrapper), background cleanup, cell packing/repacking, strip assembly, and validation reporting — each producing intermediate artifacts a human can inspect before the next stage runs, rather than a single opaque end-to-end script. A browser viewer sits on top of this pipeline specifically for the review/approval step, and an AI-assistant skill guides automated runs through the same stages.

Tech Stack Python, wrapping FFmpeg for frame extraction, with a browser-based viewer for visual inspection and JSON as the format for validation reports. The project explicitly separates human-facing documentation (README) from AI-agent-facing operational docs (AGENTS.md, pipeline notes).

Code Quality The deliberate exclusion of generated assets, videos, and scratch outputs from the repository indicates an intentional separation between tooling and content; however, there’s no LICENSE file present, and GitHub activity signals show infrequent recent maintenance, both worth checking before depending on this for production use.

What Makes It Unique Rather than being a generic sprite-sheet packer, this kit is specifically built around the AI-generation-to-game-asset workflow — preserving source canvas scale across AI-generated clips and adding a validation/approval step, addressing the specific quality-control problem of turning inconsistent AI video output into usable, consistent game sprites.

Self-Hosting

Licensing Model No LICENSE file is present in the repository. Despite being publicly viewable on GitHub, this means the code defaults to standard copyright (all rights reserved) rather than a formal open-source license — treat it as source-available rather than freely licensed until a LICENSE file is added.

Self-Hosting Restrictions Not applicable; it’s a local Python tool with no hosted service.

License Key Required No.

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