Veo 2
Veo 2 is a text to video model that produces high resolution clips with strong control over camera movement, composition, and scene dynamics. It supports cinematic framing, object aware motion, extended durations, and up to 4K outputs for production grade workflows.
API Options
Platform-level options for task execution and delivery.
-
taskType
string required value: videoInference -
Identifier for the type of task being performed
-
taskUUID
string required UUID v4 -
UUID v4 identifier for tracking tasks and matching async responses. Must be unique per task.
-
outputType
string default: URL -
Video output type.
Allowed values 1 value
-
outputFormat
string default: MP4 -
Specifies 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 values 3 values
-
outputQuality
integer min: 20 max: 99 default: 95 -
Compression quality of the output. Higher values preserve quality but increase file size.
-
webhookURL
string URI -
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.
Learn more 1 resource
- Webhooks PLATFORM
- Webhooks
-
deliveryMethod
string default: async -
Determines how the API delivers task results.
Allowed values 1 value
- Returns an immediate acknowledgment with the task UUID. Poll for results using getResponse. Required for long-running tasks like video generation.
Learn more 1 resource
- Task Polling PLATFORM
-
uploadEndpoint
string URI -
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.
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
object -
Content safety checking configuration for video generation.
Properties 2 properties
-
safety»checkContentcheckContent
boolean default: false -
Enable or disable content safety checking. When enabled, defaults to
fastmode.
-
safety»modemode
string default: none -
Safety checking mode for video generation.
Allowed values 3 values
- Disables checking.
- Checks key frames.
- Checks all frames.
-
-
ttl
integer min: 60 -
Time-to-live (TTL) in seconds for generated content. Only applies when
outputTypeisURL.
-
includeCost
boolean default: false -
Include task cost in the response.
-
numberResults
integer min: 1 max: 4 default: 1 -
Number 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 objects min items: 1max items: 2 -
An 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 frame position.
The
frameImagesparameter allows you to constrain specific frames within the video sequence, ensuring that particular visual content appears at designated points. 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.
Examples 3 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 frame position, use an object with
imageandframe.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" } ]"frameImages": [ "aac49721-1964-481a-ae78-8a4e29b91402", { "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»frameImages»imageimage
string required -
Image input (UUID, URL, Data URI, or Base64).
-
inputs»frameImages»frameframe
object -
Target frame position for the image. Supports first and last frame.
Allowed values 4 values
- First frame of the video.
- Last frame of the video.
- Frame index 0 (first frame).
- Frame index -1 (last frame).
-
inputs»videovideo
string -
Video to extend (UUID or URL).
Generation Parameters
Core parameters for controlling the generated content.
-
model
string required value: google:2@0 -
Identifier of the model to use for generation.
Learn more 3 resources
-
positivePrompt
string required min: 2 max: 3000 -
Text prompt describing elements to include in the generated output.
Learn more 2 resources
-
Width of the generated media in pixels.
Learn more 2 resources
-
Height of the generated media in pixels.
Learn more 2 resources
-
duration
float default: 5 -
Length 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 values 4 values
-
seed
integer min: 0 max: 4294967295 -
Random seed for reproducible generation. When not provided, a random seed is generated in the unsigned 32-bit range.
Provider Settings
Parameters specific to this model provider. These must be nested inside the providerSettings.google object.
providerSettings.google object.-
providerSettings»google»enhancePromptenhancePrompt
boolean default: true -
Enable automatic prompt enhancement. Affects reproducibility.
Windblown Salt Flats Caravan
{
"taskType": "videoInference",
"taskUUID": "2ceae46c-accb-4844-98d2-ae1a8e5ef2ce",
"model": "google:2@0",
"positivePrompt": "Extend the source video seamlessly. The caravan continues across a vast white salt plain patterned with shallow reflective water and cracked mineral textures. The camera gradually rises from a low tracking angle into a wider aerial reveal, showing elegant curved wagon canopies, fluttering streamers, pack animals, and long shifting shadows in late afternoon light. Wind pushes thin sheets of dust across the ground while the lead rider signals a gentle change of direction toward distant hexagonal stone formations emerging through heat haze. Preserve continuity of subjects, motion, wardrobe, and environment from the input clip. Emphasize realistic fabric movement, hoof impacts, drifting grit, mirror-like reflections in wet patches, and a cinematic sense of scale.",
"inputs": {
"video": "https://assets.runware.ai/assets/inputs/2e333524-54e1-4c42-be0c-7b102851986a.mp4"
}
}{
"taskType": "videoInference",
"taskUUID": "2ceae46c-accb-4844-98d2-ae1a8e5ef2ce",
"videoUUID": "1c58cd90-030c-48c6-88ed-cdbf5312c453",
"videoURL": "https://vm.runware.ai/video/os/a18d05/ws/5/vi/1c58cd90-030c-48c6-88ed-cdbf5312c453.mp4",
"seed": 2100582426,
"cost": 4
}Rain-Swept Funicular Ascent
{
"taskType": "videoInference",
"taskUUID": "833712d1-4906-430d-8eca-678cd82248ad",
"model": "google:2@0",
"positivePrompt": "Starting from the provided first-frame image, create a cinematic sequence of a scarlet funicular ascending a steep rain-soaked hillside through a dense historic harbor district. The camera begins close to street level with water droplets splashing in puddles and slowly glides upward alongside the car, revealing layered rooftops, narrow stairways, swaying laundry lines, glistening rails, and the distant sea under heavy storm clouds. Emphasize realistic rain streaks, wheel spray, subtle vibration of cables, pedestrians hurrying under umbrellas, and warm cabin lights glowing against the cool weather. Preserve the composition and subject from the input frame while adding rich depth, natural object-aware motion, atmospheric perspective, and polished cinematic realism.",
"width": 1280,
"height": 720,
"duration": 6,
"seed": 46890,
"providerSettings": {
"google": {
"enhancePrompt": true
}
},
"inputs": {
"frameImages": [
{
"image": "https://assets.runware.ai/assets/inputs/88753993-812c-4cfd-8b01-64651d63d9ec.jpg",
"frame": "first"
}
]
}
}{
"taskType": "videoInference",
"taskUUID": "833712d1-4906-430d-8eca-678cd82248ad",
"videoUUID": "0bb106fb-53ea-4cc5-b6a8-64319fac936f",
"videoURL": "https://vm.runware.ai/video/os/a23d05/ws/5/vi/0bb106fb-53ea-4cc5-b6a8-64319fac936f.mp4",
"seed": 46890,
"cost": 3
}Submerged Grand Library Drift
{
"taskType": "videoInference",
"taskUUID": "903f5a6f-e062-402e-8711-ffe95e4a63f7",
"model": "google:2@0",
"positivePrompt": "A cinematic underwater journey through a vast historic library hall, beginning in eerie stillness and gradually building into a sweeping current that lifts loose pages, nudges ladders, and sends clusters of bubbles upward. The camera glides slowly forward between long tables and towering shelves, then arcs slightly to reveal the full scale of the chamber. Maintain strong continuity with the guided first and last frames: same architecture, same submerged atmosphere, same suspended books, but increasing motion and tension over time. Sunbeams ripple through the water from the fractured ceiling above, fabric banners sway gently, tiny particles shimmer, and the final moments resolve into a dramatic spiral of paper and light. Rich environmental detail, believable fluid dynamics, graceful object-aware motion, high-end cinematic framing.",
"width": 1280,
"height": 720,
"duration": 8,
"seed": 65113,
"providerSettings": {
"google": {
"enhancePrompt": true
}
},
"inputs": {
"frameImages": [
{
"image": "https://assets.runware.ai/assets/inputs/37b129bc-ec36-4c94-a7d7-ea29cb014325.jpg",
"frame": "first"
},
{
"image": "https://assets.runware.ai/assets/inputs/cffa590a-0be5-435a-aac0-29c3b987d7fe.jpg",
"frame": "last"
}
]
}
}{
"taskType": "videoInference",
"taskUUID": "903f5a6f-e062-402e-8711-ffe95e4a63f7",
"videoUUID": "36f01ec2-17b9-4007-8874-753017055be1",
"videoURL": "https://vm.runware.ai/video/os/a01d21/ws/5/vi/36f01ec2-17b9-4007-8874-753017055be1.mp4",
"seed": 65113,
"cost": 4
}Windblown Salt Flats Pilgrimage
{
"taskType": "videoInference",
"taskUUID": "0f009bb2-2d77-422b-b560-360bbca5f7e0",
"model": "google:2@0",
"positivePrompt": "A long-lens cinematic shot gliding low across shimmering white salt flats after rainfall, reflecting a pale apricot sky. In the distance, a small procession of travelers in weathered indigo robes leads two tall pack animals carrying bundles of colored glass kites and brass instruments. Gusts of wind drag thin sheets of water across the ground, creating rippling mirror reflections. As the camera advances, the group crests a subtle rise and hundreds of tethered kites suddenly catch the wind, lifting and circling overhead in elegant arcs. Fine dust, fluttering fabric, hoof splashes, and drifting reflections create rich object-aware motion. The mood is solemn yet wondrous, with natural light, expansive composition, atmospheric depth, and precise realistic textures. Smooth forward tracking shot, subtle rack focus, production-grade cinematography.",
"width": 1280,
"height": 720,
"duration": 8,
"seed": 1366,
"providerSettings": {
"google": {
"enhancePrompt": true
}
}
}{
"taskType": "videoInference",
"taskUUID": "0f009bb2-2d77-422b-b560-360bbca5f7e0",
"videoUUID": "c3effabd-5462-4c94-a6e5-88103289ded1",
"videoURL": "https://vm.runware.ai/video/os/a10d08/ws/5/vi/c3effabd-5462-4c94-a6e5-88103289ded1.mp4",
"seed": 1366,
"cost": 4
}