{ "openapi": "3.1.0", "info": { "title": "Runware API - TRELLIS.2", "summary": "High-fidelity image-to-3D generative model with compact structured latents", "description": "TRELLIS.2 is a 4-billion-parameter 3D generative model that transforms 2D images into fully textured 3D assets with complex topology, sharp features, and physically based rendering materials. It uses a novel field-free sparse voxel representation and scalable structured latent space to enable efficient, high-resolution 3D generation from single image input.", "version": "1.0.0", "x-model-id": "microsoft-trellis-2", "x-air-id": "microsoft:trellis-2@4b", "x-status": "live", "x-creator": { "id": "microsoft", "name": "Microsoft", "logo": "https://assets.runware.ai/f734e730-97f8-4299-a1a9-71583d103dbe.png" }, "x-capabilities": [ "image-to-3d" ], "x-released-at": "2025-12-17T00:00:00Z", "x-cover-image": "https://assets.runware.ai/2f5c2f3d-be80-41a1-800d-7529168b9e29.jpg", "x-pricing": { "overview": "Pricing is based on processing time. Most generations cost just a few cents, depending on complexity.", "examples": [ { "configuration": "1024x1024", "price": "$0.0256", "competitorPrice": "$0.30" } ] } }, "servers": [ { "url": "https://api.runware.ai/v1", "description": "Runware REST API" } ], "components": { "securitySchemes": { "apiKeyAuth": { "type": "http", "scheme": "bearer", "description": "Runware API Key (e.g., Bearer )" } }, "schemas": { "AuthenticationTask": { "title": "Authentication", "description": "Authenticates a connection using an API key. Can be sent as the first element of the request array as an alternative to using the Authorization header.", "type": "object", "x-response-schema": "https://schemas.runware.ai/responses/utilities/authentication.json", "properties": { "taskType": { "const": "authentication", "title": "Task Type", "description": "The type of task to perform." }, "apiKey": { "title": "API Key", "description": "Your Runware API key.", "type": "string" }, "connectionSessionUUID": { "title": "Connection Session UUID", "description": "Optional session UUID to resume a previous connection and receive any buffered results.", "type": "string", "format": "uuid" } }, "required": [ "taskType", "apiKey" ], "additionalProperties": false }, "RequestBody": { "type": "array", "items": { "type": "object", "properties": { "model": { "title": "Model", "description": "Identifier of the model to use for generation.", "type": "string", "const": "microsoft:trellis-2@4b" }, "inputs": { "title": "Inputs", "description": "The unified payload wrapper for complex media assets dictating image, video or audio inference constraints.", "type": "object", "properties": { "image": { "title": "Image", "description": "Image input (UUID, URL, Data URI, or Base64).", "type": "string", "anyOf": [ { "format": "uuid" }, { "format": "uri" }, { "pattern": "^data:image\\/[a-zA-Z]+;base64,[a-zA-Z0-9+/=]+$" }, { "pattern": "^[a-zA-Z0-9+/=]+$" } ] } }, "required": [ "image" ], "additionalProperties": false }, "seed": { "title": "Seed", "description": "Random seed for reproducible generation. When not provided, a random seed is generated in the unsigned 32-bit range.", "type": "integer", "minimum": 0, "maximum": 9223372036854776000 }, "settings": { "title": "Settings", "description": "Global inference settings.", "type": "object", "properties": { "resolution": { "type": "integer", "title": "Resolution", "description": "Voxel grid resolution for 3D generation. Higher values capture finer geometric detail.", "enum": [ 512, 1024, 1536 ], "default": 1024 }, "decimationTarget": { "type": "integer", "title": "Decimation Target", "description": "Target polygon count for mesh simplification. Lower values produce lighter models at the cost of geometric detail.", "default": 500000, "minimum": 100000, "maximum": 1000000 }, "remesh": { "type": "boolean", "title": "Remesh", "description": "Whether to remesh the output for cleaner topology.", "default": true }, "shapeSlat": { "title": "Shape SLAT Sampler", "description": "Sampler for the Structured Latent stage that refines the 3D geometry.", "type": "object", "properties": { "steps": { "type": "integer", "title": "Steps", "description": "Number of denoising steps. More steps improve quality but increase generation time.", "minimum": 1, "maximum": 50 }, "guidanceRescale": { "type": "number", "title": "Guidance Rescale", "description": "Dampens oversaturation from high guidance values. Lower values apply more correction.", "minimum": 0, "maximum": 1 }, "guidanceStrength": { "type": "number", "title": "Guidance Strength", "description": "How closely the output follows the input image. Higher values enforce stricter adherence to the visible geometry.", "minimum": 1, "maximum": 10 }, "rescaleT": { "type": "number", "title": "Rescale T", "description": "Timestep rescaling factor for the sampling schedule. Controls how guidance strength is distributed across steps.", "minimum": 1, "maximum": 6 } }, "additionalProperties": false }, "sparseStructure": { "title": "Sparse Structure Sampler", "description": "Sampler for the initial sparse voxel grid that establishes the basic 3D geometry.", "type": "object", "properties": { "steps": { "type": "integer", "title": "Steps", "description": "Number of denoising steps. More steps improve quality but increase generation time.", "minimum": 1, "maximum": 50 }, "guidanceRescale": { "type": "number", "title": "Guidance Rescale", "description": "Dampens oversaturation from high guidance values. Lower values apply more correction.", "minimum": 0, "maximum": 1 }, "guidanceStrength": { "type": "number", "title": "Guidance Strength", "description": "How closely the output follows the input image. Higher values enforce stricter adherence to the visible geometry.", "minimum": 1, "maximum": 10 }, "rescaleT": { "type": "number", "title": "Rescale T", "description": "Timestep rescaling factor for the sampling schedule. Controls how guidance strength is distributed across steps.", "minimum": 1, "maximum": 6 } }, "additionalProperties": false }, "texSlat": { "title": "Texture SLAT Sampler", "description": "Sampler for the Structured Latent stage that generates surface appearance.", "type": "object", "properties": { "steps": { "type": "integer", "title": "Steps", "description": "Number of denoising steps. More steps improve quality but increase generation time.", "minimum": 1, "maximum": 50 }, "guidanceRescale": { "type": "number", "title": "Guidance Rescale", "description": "Dampens oversaturation from high guidance values. Lower values apply more correction.", "minimum": 0, "maximum": 1 }, "guidanceStrength": { "type": "number", "title": "Guidance Strength", "description": "How closely the output follows the input image. Higher values enforce stricter adherence to the visible geometry.", "minimum": 1, "maximum": 10 }, "rescaleT": { "type": "number", "title": "Rescale T", "description": "Timestep rescaling factor for the sampling schedule. Controls how guidance strength is distributed across steps.", "minimum": 1, "maximum": 6 } }, "additionalProperties": false }, "textureSize": { "type": "integer", "title": "Texture Size", "description": "Resolution of the output texture map in pixels. Higher values produce finer surface detail.", "default": 2048, "minimum": 1024, "maximum": 4096, "multipleOf": 1024 } }, "additionalProperties": false }, "taskType": { "title": "Task Type", "description": "Identifier for the type of task being performed", "type": "string", "const": "3dInference" }, "taskUUID": { "title": "Task UUID", "description": "UUID v4 identifier for tracking tasks and matching async responses. Must be unique per task.", "type": "string", "format": "uuid" }, "webhookURL": { "title": "Webhook URL", "description": "Specifies a webhook URL where JSON responses will be sent via HTTP POST when generation tasks complete. For batch requests with multiple results, each completed item triggers a separate webhook call as it becomes available.", "type": "string", "format": "uri" }, "includeCost": { "title": "Include Cost", "description": "Include task cost in the response.", "type": "boolean", "default": false }, "numberResults": { "title": "Number of Results", "description": "Number of results to generate. Each result uses a different seed, producing variations of the same parameters.", "type": "integer", "minimum": 1, "default": 1, "maximum": 4 }, "uploadEndpoint": { "title": "Upload Endpoint", "description": "Specifies a URL where the generated content will be automatically uploaded using the HTTP PUT method. The raw binary data of the media file is sent directly as the request body. For secure uploads to cloud storage, use presigned URLs that include temporary authentication credentials.\n\n**Common use cases:**\n\n- **Cloud storage**: Upload directly to S3 buckets, Google Cloud Storage, or Azure Blob Storage using presigned URLs.\n- **CDN integration**: Upload to content delivery networks for immediate distribution.\n\n```text\n// S3 presigned URL for secure upload\nhttps://your-bucket.s3.amazonaws.com/generated/content.mp4?X-Amz-Signature=abc123&X-Amz-Expires=3600\n\n// Google Cloud Storage presigned URL\nhttps://storage.googleapis.com/your-bucket/content.jpg?X-Goog-Signature=xyz789\n\n// Custom storage endpoint\nhttps://storage.example.com/uploads/generated-image.jpg\n```\n\nThe content data will be sent as the request body to the specified URL when generation is complete.\n\n[Read full documentation](https://runware.ai/docs/models/microsoft-trellis-2#uploadEndpoint)", "type": "string", "format": "uri" }, "ttl": { "title": "TTL", "description": "Time-to-live (TTL) in seconds for generated content. Only applies when `outputType` is `URL`.", "type": "integer", "minimum": 60 }, "outputType": { "title": "Output Type", "description": "3D output type.", "type": "string", "enum": [ "URL" ], "default": "URL" }, "outputFormat": { "title": "Output Format", "description": "Specifies the file format of the generated output. The available values depend on the task type and the specific model's capabilities.\n\n- \\`JPG\\`: Best for photorealistic images with smaller file sizes (no transparency).\n- \\`PNG\\`: Lossless compression, supports high quality and transparency (alpha channel).\n- \\`WEBP\\`: Modern format providing superior compression and transparency support.\n- \\`MP4\\`: Widely supported video container (H.264), recommended for general use.\n- \\`WEBM\\`: Optimized for web delivery.\n- \\`MOV\\`: QuickTime format, common in professional workflows (Apple ecosystem).\n- \\`GIF\\`: Animated image format (no audio), suitable for short loops or previews.\n- \\`MP3\\`: Compressed audio, smaller file size.\n- \\`WAV\\`: Uncompressed, high-quality audio.\n- \\`FLAC\\`: Lossless compression.\n- \\`OGG\\`: Open-source compressed audio format (Vorbis codec).\n- \\`SVG\\`: Scalable Vector Graphics.\n- \\`TIFF\\`: High-quality output supporting layers.\n\n> [!NOTE]\n> \\*\\*Transparency\\*\\*: If you are using features like background removal or LayerDiffuse that require transparency, you must select a format that supports an alpha channel (e.g., \\`PNG\\`, \\`WEBP\\`, \\`TIFF\\`). \\`JPG\\` does not support transparency.\n\n[Read full documentation](https://runware.ai/docs/models/microsoft-trellis-2#outputFormat)", "type": "string", "enum": [ "GLB" ], "default": "GLB" }, "deliveryMethod": { "title": "Delivery Method", "description": "Determines how the API delivers task results.", "type": "string", "oneOf": [ { "const": "sync", "description": "Returns complete results directly in the API response." }, { "const": "async", "description": "Returns an immediate acknowledgment with the task UUID. Poll for results using getResponse." } ], "default": "async" } }, "required": [ "inputs", "taskType", "taskUUID", "model" ], "definitions": { "samplerConfig": { "type": "object", "title": "Sampler Configuration", "description": "Configuration for a generation stage sampler.", "properties": { "steps": { "type": "integer", "title": "Steps", "description": "Number of denoising steps. More steps improve quality but increase generation time.", "minimum": 1, "maximum": 50 }, "guidanceRescale": { "type": "number", "title": "Guidance Rescale", "description": "Dampens oversaturation from high guidance values. Lower values apply more correction.", "minimum": 0, "maximum": 1 }, "guidanceStrength": { "type": "number", "title": "Guidance Strength", "description": "How closely the output follows the input image. 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