Veo 3 Fast
Veo 3 Fast is an optimized video generation model for rapid iteration and lower cost. It creates short clips from text or images with native audio that includes dialogue, sound effects and music. It keeps realistic motion, strong physics and reliable prompt control.
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).
Generation Parameters
Core parameters for controlling the generated content.
-
model
string required value: google:3@1 -
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 value: 8 -
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).
-
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 value: true -
Enable automatic prompt enhancement. Always active for Veo 3.
-
providerSettings»google»generateAudiogenerateAudio
boolean default: true -
Generate video with synchronized audio including ambient sounds and music.
-
providerSettings»google»resizeModeresizeMode
string -
Resize mode for the input media.
Allowed values 2 values
Fogbound Cliffside Funicular Arrival
{
"taskType": "videoInference",
"taskUUID": "8ee38edd-02f7-43b8-8137-a87ab96fa5a0",
"model": "google:3@1",
"positivePrompt": "An atmospheric 8-second cinematic shot on a rugged northern coastline at dawn: a weathered funicular car climbs a steep cliff track and emerges from dense sea fog toward a tiny stone station perched above crashing waves. Camera starts low near wet rails with droplets and lichen in sharp foreground, then gently dollies upward and slightly sideways as the car approaches, revealing the abyss, white surf below, circling gulls, and wind-whipped signal flags. The funicular is painted faded red and cream, with brass fittings, fogged windows, and warm cabin lamps glowing inside. A bundled conductor steps onto the platform as the car stops, opens the door, and says softly, 'End of the line.' Naturalistic physics: cables taut, carriage rocking subtly, mist swirling in gusts, gulls banking realistically, water exploding against black rocks. Rich layered audio: cable hum, metal rattles, distant buoy bell, gull cries, ocean thunder, footsteps on damp planks, door latch click, brief orchestral swell woven under ambient sound. Realistic live-action style, moody coastal palette, textured stone, authentic weather, shallow depth of field at the start widening as the camera rises.",
"width": 1280,
"height": 720,
"duration": 8,
"seed": 49328,
"providerSettings": {
"google": {
"enhancePrompt": true,
"generateAudio": true
}
}
}{
"taskType": "videoInference",
"taskUUID": "8ee38edd-02f7-43b8-8137-a87ab96fa5a0",
"videoUUID": "4a5b9344-558b-4f09-bb85-6d397e982221",
"videoURL": "https://vm.runware.ai/video/os/a19d05/ws/5/vi/4a5b9344-558b-4f09-bb85-6d397e982221.mp4",
"seed": 49328,
"cost": 1.2
}Windblown Salt Flat Caravan
{
"taskType": "videoInference",
"taskUUID": "e010c740-c107-445f-9fac-ec05a3b8c63e",
"model": "google:3@1",
"positivePrompt": "Starting from the provided first-frame image, create a grounded cinematic travel scene across a vast salt flat at golden hour. The shallow water reflects the sky as a small caravan moves steadily from left to right: two pack llamas stepping carefully, a patched canvas wagon rattling behind them, and three weathered travelers in layered fabrics with scarves fluttering in the wind. The camera begins low and slightly behind, then drifts gently sideways to reveal ripples spreading around hooves and wheels, tiny splashes, fabric movement, and subtle reflections deforming with each step. In the distance, rust-colored mountains shimmer in heat haze beneath sweeping cloud bands. Audio: soft wind over the open plain, wagon creaks, harness jingle, water splashes, llama snorts, and one traveler says calmly, \"If the ridge keeps that color, we reach the pass before sundown.\" Naturalistic motion, believable physics, realistic ambient sound, understated cinematic music.",
"width": 1280,
"height": 720,
"duration": 8,
"seed": 89859,
"providerSettings": {
"google": {
"enhancePrompt": true,
"generateAudio": true,
"resizeMode": "crop"
}
},
"inputs": {
"frameImages": [
{
"image": "https://assets.runware.ai/assets/inputs/1b504a97-f2e9-4710-9ea8-d2d9d308ca24.jpg",
"frame": "first"
}
]
}
}{
"taskType": "videoInference",
"taskUUID": "e010c740-c107-445f-9fac-ec05a3b8c63e",
"videoUUID": "e0ad17a5-a4b7-43bb-bdaf-e5f9c53d4ba8",
"videoURL": "https://vm.runware.ai/video/os/a02d21/ws/5/vi/e0ad17a5-a4b7-43bb-bdaf-e5f9c53d4ba8.mp4",
"seed": 89859,
"cost": 1.2
}Storm-Battered Lighthouse Kitchen
{
"taskType": "videoInference",
"taskUUID": "0da274ac-3465-447e-900a-094bb5321bf5",
"model": "google:3@1",
"positivePrompt": "Animate this scene from the provided first frame as a grounded cinematic sequence inside a remote lighthouse kitchen during a violent coastal storm. The camera slowly pushes inward from the doorway toward the table. Wind rattles the windowpanes, the hanging pans sway more noticeably, the lamp flame flickers, recipe cards tremble and one slides off the table, droplets creep down the glass, lightning briefly flashes outside revealing rough waves below the cliff. Keep all objects and layout consistent with the input frame. Add natural synchronized audio: booming surf, whistling wind through cracks, soft metal clinks, wood creaks, a low thunder roll, and from off screen a calm weathered voice says, \"Tie the shutters before the next swell hits.\" Subtle tense music underneath, realistic motion and physics, photoreal atmosphere.",
"width": 1280,
"height": 720,
"duration": 8,
"seed": 19827,
"providerSettings": {
"google": {
"enhancePrompt": true,
"generateAudio": true,
"resizeMode": "crop"
}
},
"inputs": {
"frameImages": [
{
"image": "https://assets.runware.ai/assets/inputs/2089e150-8f3f-49cd-b29d-5238f5aab929.jpg",
"frame": "first"
}
]
}
}{
"taskType": "videoInference",
"taskUUID": "0da274ac-3465-447e-900a-094bb5321bf5",
"videoUUID": "71d1a19b-e6e7-4eb9-b846-6c345bd796f9",
"videoURL": "https://vm.runware.ai/video/os/a21d05/ws/5/vi/71d1a19b-e6e7-4eb9-b846-6c345bd796f9.mp4",
"seed": 19827,
"cost": 1.2
}Windblown Salt Flats Pilgrims
{
"taskType": "videoInference",
"taskUUID": "6bdad12e-6cd5-4162-9e98-37b210ab7c9e",
"model": "google:3@1",
"positivePrompt": "A sweeping cinematic scene across immense white salt flats under a pale amber sky, shallow mirror-like water reflecting the horizon. A small procession of nomadic pilgrims in layered indigo, saffron, and ash-colored robes walks diagonally across the frame carrying tall reed standards and polished metal bowls that catch the light. Their movement is purposeful and graceful, fabric whipping in strong gusts, footprints and splashes visible in the thin water. The camera begins low and wide, gliding beside them, then arcs forward to reveal distant heat haze, skeletal rock formations, and flocks of tiny shore birds lifting off. Native audio: textured wind, soft splashing footsteps, clinking bowls, deep hand drums, and a sparse communal chant with no spoken dialogue. Realistic physics, natural cloth motion, subtle facial expressions, high detail, atmospheric depth, grounded cinematic realism.",
"width": 1920,
"height": 1080,
"duration": 8,
"seed": 838,
"providerSettings": {
"google": {
"enhancePrompt": true,
"generateAudio": true
}
}
}{
"taskType": "videoInference",
"taskUUID": "6bdad12e-6cd5-4162-9e98-37b210ab7c9e",
"videoUUID": "2401342a-1473-4a0d-a101-99367195d027",
"videoURL": "https://vm.runware.ai/video/os/a17d13/ws/5/vi/2401342a-1473-4a0d-a101-99367195d027.mp4",
"seed": 838,
"cost": 1.2
}Storm-Battered Cliffside Lighthouse Rescue
{
"taskType": "videoInference",
"taskUUID": "6f8e01d5-7a6a-4607-8718-576b4058b141",
"model": "google:3@1",
"positivePrompt": "An intense cinematic coastal rescue at dusk on jagged black cliffs above a violent sea. A weathered lighthouse beam sweeps through mist while enormous waves crash against the rocks below. A volunteer rescue crew in orange waterproof gear hauls a rope stretcher up a slick stone stair carved into the cliff. One rescuer shouts over the wind, 'Easy, easy—pull on three!' Another answers, 'We've got them!' The rescued sailor is soaked, exhausted, wrapped in a thermal blanket, coughing and breathing hard. Camera starts with a wide aerial view of the cliffs and pounding surf, then drops into a handheld ground-level follow shot behind the team, with spray hitting the lens and believable scrambling footwork on wet stone. Final beat: they reach the lighthouse door, which swings open with warm tungsten light spilling out as the storm still rages outside. Native audio: roaring wind, crashing waves, rope strain, boots on stone, distant gulls, urgent shouted dialogue, heavy breathing, lighthouse foghorn, subtle tense orchestral score rising into relief at the end. Realistic human motion, detailed water physics, dramatic natural lighting, high realism, coherent action over the full clip.",
"width": 1280,
"height": 720,
"duration": 8,
"seed": 70670,
"providerSettings": {
"google": {
"enhancePrompt": true,
"generateAudio": true
}
}
}{
"taskType": "videoInference",
"taskUUID": "6f8e01d5-7a6a-4607-8718-576b4058b141",
"videoUUID": "fbebfdd9-7b2e-45e0-850f-9f0f6d3edbf5",
"videoURL": "https://vm.runware.ai/video/os/a18d05/ws/5/vi/fbebfdd9-7b2e-45e0-850f-9f0f6d3edbf5.mp4",
"seed": 70670,
"cost": 1.2
}