@ai-game-assets/dev
Local development server, AI providers, asset storage, and production manifest tooling for AI Game Assets.
Play the Space Invaders demo · View this package on npm · Read the full documentation
npm install -D @ai-game-assets/dev
Use this package during development to generate, edit, promote, and build game assets. Production games do not need the development server or AI credentials.
ElevenLabs voice lines
createElevenLabsAudioProvider() defaults voice-line generation to Eleven v4 (eleven_v4)
through the text-to-speech API. Set
voiceSettings.model on an asset or request to pin a different model, or pass
voiceLineModel to the provider to change its default. Voice settings take precedence over
audioSettings.model, then the provider default. Explicit legacy and custom models remain supported.
Generated options save the resolved speech model in model and voiceSettings.model.
Voice design, sound effects, and music use their own models.
Scaled variants
POST /__ai-assets/scaled-variant-options generates three candidates from the closest available source without writing PNGs or changing the manifest. It accepts the same source identity, requested dimensions, regeneration identity, and scaling method as generation. Each candidate includes index, dataUrl, dimensions, optional frameGrid, method, and sourceFile. AI animation enlargement sends the whole spritesheet in one request per candidate, with shared character-consistency and grid-preservation instructions. Source margins and spacing are removed before generation; unused cells stay transparent. Failed or canceled batches never replace a saved variant.
Promote a chosen candidate through POST /__ai-assets/scaled-variant with action: "select", its dataUrl, candidateSourceFile, effective method, requested frame width/height, and the original request identity. Selection validates dimensions, source provenance and stale regeneration requests, saves only the chosen pixels, and makes no further AI request. generateScaledVariantOptions is also exported for custom servers.
POST /__ai-assets/scaled-variant directly creates, promotes a selected candidate, touches up, or deletes a version-scoped resolution. Requests include assetId, versionName, sourceFile, action, and, for existing variants, id and expectedFile. Generate accepts width, height, and method (nearest, resample, or ai-upscale); touch-up accepts a PNG dataUrl with unchanged variant dimensions. Width/height describe each frame or tile when the source is a sheet. Responses include the updated manifest and variant. Generate and touch-up also return previewDataUrl containing the saved PNG, allowing immediate previews before public-file watchers expose the new URL.
The server validates image dimensions and frame geometry, rejects stale updates, reads only local source files within assetsDir, and saves immutable PNGs. Failed generation leaves existing variants unchanged. Variant files and metadata are retained in production manifest builds. Replaced files are retained because other target assets or provenance may reference them.
Strict resizing works without API credentials. AI enlargement uses the OpenAI Images edit API with the existing OPENAI_API_KEY; no additional provider token is needed. The default model is GPT Image 2.5 Sunburst with high quality and a fixed preservation prompt. Smaller targets are generated on an API-supported canvas and resized to the exact requested dimensions with nearest-neighbor sampling. The edited image's transparency is retained. OpenAI may refine details; use nearest for exact pixel preservation. Downscaling in AI mode uses deterministic smooth resizing without an API call.
A custom AiAssetUpscaleProvider implements upscale({ image, width, height, frameGrid?, signal }) and returns image bytes. Pass it as upscaleProvider to createAiAssetDevServer. createOpenAiUpscaleProvider({ apiKey?, model?, fetch? }), saveScaledVariant, and resizeScaledSource are exported for custom servers. The server selects the closest source, passes packed animation sheets with optional frameGrid metadata to the provider, and enforces exact output dimensions. Non-AI resizing remains per-cell to prevent colors bleeding across frame boundaries.