Ray3.2

Ray3.2 is Luma's flagship video model for turning creative direction into controllable production workflows. It supports text-to-video, image-to-video, and video-to-video generation, with stronger continuity, motion transfer, camera motion transfer, character transformation, relighting, environment change, and product-swap workflows. It is built for cinematic-quality output, multi-keyframe control inside a single clip, and Modify Video V2 workflows that preserve performance, lighting, and scene structure while transforming existing footage.

Complete technical specification for integration
Ready-to-use code snippets for common workflows
Step-by-step tutorials for advanced use cases
API Options
Platform-level options for task execution and delivery.
taskType
stringrequiredvalue: videoInferenceIdentifier for the type of task being performed
taskUUID
stringrequiredUUID v4UUID v4 identifier for tracking tasks and matching async responses. Must be unique per task.
outputType
stringdefault: URLVideo output type.
Allowed values1 value
outputFormat
stringdefault: MP4Specifies the file format of the generated output. The available values depend on the task type and the specific model's capabilities.
- `MP4`: Widely supported video container (H.264), recommended for general use.
- `WEBM`: Optimized for web delivery.
- `MOV`: QuickTime format, common in professional workflows (Apple ecosystem).
Allowed values3 values
outputQuality
integermin: 20max: 99default: 95Compression quality of the output. Higher values preserve quality but increase file size.
webhookURL
stringuriSpecifies 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.
Learn more1 resource
- WebhooksPLATFORM
- Webhooks
deliveryMethod
stringdefault: asyncDetermines how the API delivers task results.
Allowed values1 value
- Returns an immediate acknowledgment with the task UUID. Poll for results using getResponse. Required for long-running tasks like video generation.
Learn more1 resource
- Task PollingPLATFORM
uploadEndpoint
stringuriSpecifies 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.
Common use cases:
- Cloud storage: Upload directly to S3 buckets, Google Cloud Storage, or Azure Blob Storage using presigned URLs.
- CDN integration: Upload to content delivery networks for immediate distribution.
// S3 presigned URL for secure upload https://your-bucket.s3.amazonaws.com/generated/content.mp4?X-Amz-Signature=abc123&X-Amz-Expires=3600 // Google Cloud Storage presigned URL https://storage.googleapis.com/your-bucket/content.jpg?X-Goog-Signature=xyz789 // Custom storage endpoint https://storage.example.com/uploads/generated-image.jpgThe content data will be sent as the request body to the specified URL when generation is complete.
safety
objectContent safety checking configuration for video generation.
Properties2 properties
safety»checkContentcheckContent
booleanEnable or disable content safety checking.
safety»modemode
stringdefault: noneSafety checking mode for video generation.
Allowed values3 values
- Disables checking.
- Checks key frames.
- Checks all frames.
ttl
integermin: 60Time-to-live (TTL) in seconds for generated content. Only applies when
outputTypeisURL.
includeCost
booleanInclude task cost in the response.
numberResults
integermin: 1max: 4default: 1Number of results to generate. Each result uses a different seed, producing variations of the same parameters.
Inputs
Input resources for the task (images, audio, etc). These must be nested inside the inputs object.
inputs object.inputs»frameImagesframeImages
array of strings or objectsmin items: 1max items: 64An array of frame-specific image inputs to guide video generation. Each item can be either a plain image input (UUID, URL, Data URI, or Base64) or an object that pairs an image with a target position in the video.
The
frameImagesparameter allows you to constrain specific frames within the video sequence, ensuring that particular visual content appears at designated points. Position can be specified usingframe(named positions or frame indices) ortimestamp(seconds), depending on model support. This is different fromreferenceImages, which provide overall visual guidance without constraining specific timeline positions.When the
frameparameter is omitted, automatic distribution rules apply:- 1 image: Used as the first frame.
- 2 images: First and last frames.
- 3+ images: First and last frames, with intermediate images evenly spaced between.
Examples4 examples
Shorthand format: When you don't need to specify a frame position, you can pass a plain image input directly.
"frameImages": [ "aac49721-1964-481a-ae78-8a4e29b91402" ]Object format: When you need to specify a position, use an object with
imageand eitherframeortimestamp(model-dependent).First and last frames: With two images, they automatically become the first and last frames of the video sequence. You can mix shorthand and object formats."frameImages": [ { "image": "aac49721-1964-481a-ae78-8a4e29b91402", "frame": "first" } ]Multiple frames: With three or more images, the first and last are anchored while intermediate frames are evenly distributed across the timeline."frameImages": [ "aac49721-1964-481a-ae78-8a4e29b91402", { "image": "3ad204c3-a9de-4963-8a1a-c3911e3afafe", "frame": "last" } ]"frameImages": [ { "image": "aac49721-1964-481a-ae78-8a4e29b91402", "frame": "first" }, "c00abf5f-6cdb-4642-a01d-1bfff7bc3cf7", { "image": "3ad204c3-a9de-4963-8a1a-c3911e3afafe", "frame": "last" } ]Format 1: string[]
Image input (UUID, URL, Data URI, or Base64).
Format 2: object[]2 properties
inputs»videovideo
stringSource video to edit or reframe (UUID or URL). Editing preserves the source aspect ratio; reframing places it on a new canvas.
Core Parameters
Primary parameters that define the task output.
model
stringrequiredvalue: luma:ray@3.2Identifier of the model to use for generation.
Learn more3 resources
positivePrompt
stringrequiredmin: 1max: 6000Text prompt describing elements to include in the generated output.
Learn more1 resource
- PromptsLEARN
- Prompts
Width of the generated media in pixels.
Learn more2 resources
Height of the generated media in pixels.
Learn more2 resources
resolution
stringdefault: 720pResolution preset for the output. When used with input media, automatically matches the aspect ratio from the input.
Allowed values4 values
duration
floatdefault: 5Length of the generated video in seconds. The total number of frames produced is determined by duration multiplied by the model's frame rate (fps).
Allowed values2 values
Settings
Technical parameters to fine-tune the inference process. These must be nested inside the settings object.
settings object.settings»editedit
objectConditioning controls applied when editing the source video.
Properties3 properties
settings»edit»strengthstrength
stringPreservation preset, from strict adherence to free reinterpretation.
Allowed values9 values
settings»edit»autoControlsautoControls
booleanDerive the full conditioning schedule automatically from the source video.
settings»edit»controlscontrols
objectPer-signal conditioning controls.
Properties5 properties
settings»edit»controls»depthBlurdepthBlur
floatmin: 0max: 1Scene-geometry depth blur. Higher values allow more freedom.
settings»edit»controls»faceface
booleanEnable face-identity conditioning.
settings»edit»controls»normalsAugmentationnormalsAugmentation
floatmin: 0max: 1Surface-geometry normals augmentation. Higher values allow more reinterpretation.
settings»edit»controls»poseStrengthposeStrength
stringSkeleton conditioning strength.
Allowed values2 values
settings»edit»controls»trajectorySparsitytrajectorySparsity
floatmin: 0max: 1Motion-anchoring sparsity. Higher values use fewer anchors.
settings»exrExportexrExport
booleanAlso export an OpenEXR frame sequence alongside the MP4.
settings»hdrhdr
booleanRender in high dynamic range.
settings»looploop
booleanLoop the generated video seamlessly.
settings»sourcePositionsourcePosition
objectPlacement of the source video within the output canvas, as fractions of the canvas size.
Properties4 properties
settings»sourcePosition»widthWidth of the source video, as a fraction of the canvas width.
settings»sourcePosition»heightHeight of the source video, as a fraction of the canvas height.
settings»sourcePosition»xx
floatrequiredmin: -2max: 2Horizontal position of the source video, as a fraction of the canvas width.
settings»sourcePosition»yy
floatrequiredmin: -2max: 2Vertical position of the source video, as a fraction of the canvas height.