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ai-media-generator
Claude Code skill for cinematic AI image, video and music prompts — 14+ platforms
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View guide →Generate clean 2D game sprites and animation atlases from one drawing — a Codex/Claude skill and Python CLI
sprite-gen is an open-source image project by aldegad (aldegad/sprite-gen on GitHub). It has 2,616 GitHub stars and 275 forks, is released under the Apache-2.0 license, and was last updated on GitHub on 8 October 2026.
Prepare one base image of your character and the list of motion states you need (idle, walk, run, jump, attack...), and choose the atlas pipeline or the video-to-loop pipeline.
Clone the repo and install it into a fresh virtualenv, or install it as a skill into Codex/Claude.
Activate the venv, check sprite-gen --help, and connect a generation provider (codex or grok on your existing subscription; the video path uses your own grok login or XAI_API_KEY, plus ffmpeg/img2webp).
sprite-gen prepare your run, gen-set the state rows, extract the frames, and compose-atlas into sprite-sheet-alpha.png + manifest.json.
prepare → gen/gen-set → extract → compose-atlas produces a transparent atlas plus a manifest with absolute frame rectangles, per-state fps and loop flags — engines never guess a grid.
Chroma backgrounds are unmixed to true transparency with no leftover fringe, verified against white backgrounds.
A still idle pose becomes a living loop with deterministic, anatomy-aware squash-and-stretch baked from a sidecar field.
One still plus a video model yields seamless transparent GIF/WebP/strip loops cut at the clip's true period, with canvas sized per motion (tall for jumps, wide for attacks).
Recolor into deterministic colorways, compose rig layers, and export for Aseprite / Phaser / Flame — without regenerating.
Standalone cutout, slice-sheet and unpack-atlas utilities, background tiles, projected shadows, motion inspection, and an optional scene renderer for finished assets.
Clone sprite-gen and install it into a fresh virtualenv as the quickstart shows (the venv is the only supported interpreter).
git clone https://github.com/aldegad/sprite-gen.git
cd sprite-genPrint the command map, grouped by pipeline and tool domain.
sprite-gen --helpPrepare a run from one base image, generate the state rows, extract frames and compose the atlas.
sprite-gen prepare --out-dir <dir> --character-id <id> --base-image base.png
sprite-gen gen-set --run-dir <dir> --provider codex
sprite-gen extract --run-dir <dir>
sprite-gen compose-atlas --run-dir <dir>aldegad maintains it; the component-row workflow was inspired by the Apache-2.0 hatch-pet skill, per the README's attribution.
The tool is Apache-2.0 licensed. Generation uses providers on subscriptions you already pay for (codex/grok), an explicit-only OpenAI provider that bills per call, and your own xAI credentials for video.
Image generation rides on your existing Codex or Grok subscription by default; the video pipeline needs your own grok login or XAI_API_KEY. Nothing is shipped with the repo.
Raw generations drift off-grid, change faces between frames and won't key out cleanly. sprite-gen's pipeline locks identity, extracts real alpha frames and emits an atlas + manifest an engine can consume.
Clone, create a venv, pip install -e ., then run the prepare → gen-set → extract → compose-atlas flow on one base image.
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