{ "openapi": "3.1.1", "info": { "title": "Node Compositor for Images and Short Clips API", "version": "1.0.0", "summary": "Run a node graph — keying, grading, LUTs, masks, merges — on images or a short clip.", "description": "Every endpoint performs the same calculation as the human page and returns inputs, result, units, assumptions, sources, warnings and computedAt. MCP endpoint: /mcp." }, "servers": [ { "url": "https://luminacompositor.usefulweb.app" } ], "paths": { "/api/v1/calculate": { "post": { "operationId": "calculate", "summary": "Run a node graph — keying, grading, LUTs, masks, merges — on images or a short clip.", "description": "Evaluates a Lumina compositor graph (or a preset: green-screen composite, product shot on a gradient, LUT grade, sky replacement) on your images in linear light with premultiplied alpha. Porter–Duff merges with W3C blend modes, chroma/luma/difference keys, .cube LUTs, masks and filters; returns the result and a report for every node. Short clips are processed frame by frame.\n\nMethodology:\n- Uploads are decoded to 8-bit sRGB (auto-oriented), converted to linear light with the IEC 61966-2-1 transfer function and premultiplied by alpha; every node output is one Float32 RGBA (or mask) buffer at the canvas size (0 = size of the main image). Image input nodes fit their slot image with Catmull-Rom resampling (pre-blurred when shrinking).\n- The graph is validated first (unknown types, parameter ranges, missing inputs, image/mask type mismatches, cycles, exactly one Output node) and evaluated in dependency order; identical sub-graphs are evaluated once (content-hash cache).\n- Merge implements the W3C Compositing and Blending formulas: Cs′ = (1 − αb)·Cs + αb·B(Cb, Cs), co = αs·Fa·Cs′ + αb·Fb·Cb with Porter–Duff fractions Fa/Fb; blend functions see un-premultiplied colour in linear light or sRGB values (your choice). Colour nodes un-premultiply first; levels, curves, HSL, ASC CDL and LUTs work on sRGB-encoded values, exposure, white balance and vignette in linear light.\n- The chroma key is a balanced colour-difference keyer: α = 1 − gain·m(C)/m(K) with m = dominant channel − balanced mix of the other two, then the backing colour is un-mixed (α·F = C − (1 − α)·K) and spill limited. Text nodes are drawn with DejaVu fonts by ImageMagick on the server (system fonts in the browser).\n- Clips (up to 10 s) are decoded by ffmpeg to RGBA frames, the graph runs per frame (nodes that do not depend on the clip are evaluated once), and the frames are encoded as H.264 MP4 with the original audio as AAC. Video has no alpha channel: transparent results are shown on black.", "tags": [ "apps" ], "x-mcp-tool": "lumina_compositor", "x-owner-app": "lumina", "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/LuminaCompositorInput" }, "examples": { "example1": { "summary": "Green-screen plate over a new background (synthetic sample)", "value": { "image": { "filename": "green-screen-plate.png", "contentType": "image/png", "contentBase64": 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" }, "preset": "green-screen", "format": "png" } }, "example2": { "summary": "Sky replacement with a luma key and a generated evening sky", "value": { "image": { "filename": "bright-sky-landscape.png", "contentType": "image/png", "contentBase64": 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" }, "preset": "sky-replacement", "format": "png" } }, "example3": { "summary": "Custom graph: colour spotlight, curve and vignette", "value": { "image": { "filename": "bright-sky-landscape.png", "contentType": "image/png", "contentBase64": 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" }, "preset": "custom", "graph": "{\"format\":\"lumina-compositor\",\"version\":1,\"name\":\"Spotlight portrait\",\"width\":0,\"height\":0,\"nodes\":[{\"id\":\"photo\",\"type\":\"image\",\"params\":{\"slot\":\"image\"}},{\"id\":\"mono\",\"type\":\"hsl\",\"params\":{\"saturation\":-85},\"inputs\":{\"in\":\"photo\"}},{\"id\":\"spot\",\"type\":\"shapeMask\",\"params\":{\"shape\":\"ellipse\",\"x\":46,\"y\":6,\"width\":100,\"height\":116,\"feather\":40}},{\"id\":\"colour\",\"type\":\"merge\",\"params\":{\"operator\":\"over\"},\"inputs\":{\"fg\":\"photo\",\"bg\":\"mono\",\"mask\":\"spot\"}},{\"id\":\"curve\",\"type\":\"curves\",\"params\":{\"master\":\"0,0 64,52 192,206 255,255\"},\"inputs\":{\"in\":\"colour\"}},{\"id\":\"vig\",\"type\":\"vignette\",\"params\":{\"amount\":0.4,\"radius\":0.45,\"softness\":0.6},\"inputs\":{\"in\":\"curve\"}},{\"id\":\"out\",\"type\":\"output\",\"inputs\":{\"in\":\"vig\"}}]}", "format": "jpeg", "quality": 88 } } } } } }, "responses": { "200": { "description": "Calculation result envelope.", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/LuminaCompositorResult" } } } }, "400": { "description": "Malformed JSON body.", "content": { "application/problem+json": { "schema": { "$ref": "#/components/schemas/Problem" } } } }, "422": { "description": "Invalid input (see errors[]).", "content": { "application/problem+json": { "schema": { "$ref": "#/components/schemas/Problem" } } } }, "429": { "description": "Rate limit exceeded (see Retry-After).", "content": { "application/problem+json": { "schema": { "$ref": "#/components/schemas/Problem" } } } } } } }, "/api/v1/tool": { "get": { "operationId": "getToolDefinition", "summary": "Inputs, output schema and examples for this tool", "responses": { "200": { "description": "Tool definition.", "content": { "application/json": { "schema": { "type": "object" } } } } } } } }, "components": { "schemas": { "Problem": { "type": "object", "description": "RFC 9457 problem details. 422 responses include per-field `errors`.", "required": [ "type", "title", "status", "detail" ], "properties": { "type": { "type": "string" }, "title": { "type": "string" }, "status": { "type": "integer" }, "detail": { "type": "string" }, "code": { "type": "string" }, "errors": { "type": "array", "items": { "type": "object", "required": [ "field", "message" ], "properties": { "field": { "type": "string" }, "message": { "type": "string" } } } } } }, "LuminaCompositorInput": { "type": "object", "additionalProperties": false, "properties": { "image": { "title": "Main image or short clip", "description": "PNG, JPEG or WebP up to 2 megapixels, or a clip (MP4, MOV, WebM) up to 10 seconds — frames are scaled to at most about 0.4 megapixels. Image input nodes with the slot \"Main image\" read it. Upload as {filename, contentType?, contentBase64}. Max 58594 KiB. Accepts .png,.jpg,.jpeg,.webp,.mp4,.m4v,.mov,.webm,.mkv.", "type": "object", "additionalProperties": false, "required": [ "filename", "contentBase64" ], "properties": { "filename": { "type": "string" }, "contentType": { "type": "string" }, "contentBase64": { "type": "string" } } }, "background": { "title": "Background image (optional)", "description": "Read by image nodes with the slot \"Background image\" (green-screen and sky presets use it; without it they use a gradient). Upload as {filename, contentType?, contentBase64}. Max 24414 KiB. Accepts .png,.jpg,.jpeg,.webp.", "type": "object", "additionalProperties": false, "required": [ "filename", "contentBase64" ], "properties": { "filename": { "type": "string" }, "contentType": { "type": "string" }, "contentBase64": { "type": "string" } } }, "extra": { "title": "Extra image (optional)", "type": "object", "description": "Upload as {filename, contentType?, contentBase64}. Max 24414 KiB. Accepts .png,.jpg,.jpeg,.webp.", "additionalProperties": false, "required": [ "filename", "contentBase64" ], "properties": { "filename": { "type": "string" }, "contentType": { "type": "string" }, "contentBase64": { "type": "string" } } }, "preset": { "title": "Graph", "type": "string", "enum": [ "green-screen", "product-shot", "lut-grade", "sky-replacement", "custom" ], "default": "green-screen" }, "graph": { "title": "Graph JSON (for a custom graph)", "description": "Format: lumina-compositor version 1 (schema at /static/apps/lumina/compositor.schema.json). Copy it from Lumina → Compositor.", "type": "string", "maxLength": 1000000, "default": "" }, "lut": { "title": ".cube LUT (optional)", "description": "Used by LUT nodes without their own .cube data, and replaces the warm fade in the LUT grade preset. Upload as {filename, contentType?, contentBase64}. Max 7813 KiB. Accepts .cube,text/plain.", "type": "object", "additionalProperties": false, "required": [ "filename", "contentBase64" ], "properties": { "filename": { "type": "string" }, "contentType": { "type": "string" }, "contentBase64": { "type": "string" } } }, "format": { "title": "Output format", "type": "string", "enum": [ "png", "jpeg", "webp" ], "default": "png" }, "quality": { "title": "JPEG/WebP quality", "type": "integer", "minimum": 1, "maximum": 100, "default": 90 } }, "required": [ "image" ] }, "LuminaCompositorResult": { "type": "object", "additionalProperties": false, "required": [ "schemaVersion", "tool", "computedAt", "inputs", "summary", "result", "units", "assumptions", "sources", "warnings", "presentation", "links" ], "properties": { "schemaVersion": { "type": "string", "const": "1.0" }, "tool": { "type": "object", "additionalProperties": false, "required": [ "id", "name", "version" ], "properties": { "id": { "type": "string" }, "name": { "type": "string" }, "version": { "type": "string" } } }, "computedAt": { "type": "string", "format": "date-time" }, "inputs": { "type": "object", "description": "Normalised inputs actually used, including applied defaults." }, "summary": { "type": "string" }, "result": { "type": "object", "additionalProperties": false, "required": [ "graphName", "preset", "media", "width", "height", "frames", "fps", "nodes", "evaluatedPerFrame", "warnings", "artifact", "graphJson" ], "properties": { "graphName": { "type": "string" }, "preset": { "type": "string" }, "media": { "type": "string", "enum": [ "image", "video" ] }, "width": { "type": "integer" }, "height": { "type": "integer" }, "frames": { "type": "integer" }, "fps": { "type": [ "number", "null" ] }, "nodes": { "type": "array", "items": { "type": "object", "additionalProperties": false, "required": [ "id", "type", "label", "kind", "width", "height", "cached", "coverage", "meanLuma" ], "properties": { "id": { "type": "string" }, "type": { "type": "string" }, "label": { "type": "string" }, "kind": { "type": "string", "enum": [ "image", "mask" ] }, "width": { "type": "integer" }, "height": { "type": "integer" }, "cached": { "type": "boolean" }, "coverage": { "type": "number", "description": "Mean alpha (images) or mean mask value, in %." }, "meanLuma": { "type": "number", "description": "Mean encoded luma 0–255 (premultiplied, on black)." } } } }, "evaluatedPerFrame": { "type": "integer", "description": "Nodes recomputed for each video frame (the rest come from the cache); for images all evaluated nodes." }, "warnings": { "type": "array", "items": { "type": "string" } }, "artifact": { "type": "object", "additionalProperties": false, "required": [ "artifactId", "filename", "mime", "bytes", "sha256", "path" ], "properties": { "artifactId": { "type": "string" }, "filename": { "type": "string" }, "mime": { "type": "string" }, "bytes": { "type": "integer" }, "sha256": { "type": "string" }, "path": { "type": "string", "description": "Download path on the same site (valid for about 2 hours)." } } }, "graphJson": { "type": "string", "description": "The evaluated graph (open it in Lumina → Compositor)." } } }, "units": { "type": "object", "additionalProperties": { "type": "string" } }, "assumptions": { "type": "array", "items": { "type": "string" } }, "sources": { "type": "array", "items": { "type": "object", "additionalProperties": false, "required": [ "title" ], "properties": { "title": { "type": "string" }, "url": { "type": "string" }, "publisher": { "type": "string" }, "retrievedAt": { "type": "string" }, "note": { "type": "string" } } } }, "warnings": { "type": "array", "items": { "type": "string" } }, "presentation": { "type": "array", "items": { "type": "object" }, "description": "Display blocks used by the human page (same data)." }, "links": { "type": "object", "additionalProperties": false, "required": [ "human", "api", "openapi", "methodology" ], "properties": { "human": { "type": "string", "format": "uri" }, "api": { "type": "string", "format": "uri" }, "openapi": { "type": "string", "format": "uri" }, "methodology": { "type": "string", "format": "uri" } } } } } } } }