Veo 3.1 Lite
Veo 3.1 Lite is the most cost-effective model in the Veo 3.1 family, designed for high-volume applications requiring rapid iteration. It supports text-to-video and image-to-video generation at 720p or 1080p in landscape and portrait formats, with customizable duration of 4, 6, or 8 seconds. It maintains the same generation speed as Veo 3.1 Fast at less than 50% of the cost, and includes native synchronized audio generation.
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:veo@3.1-lite -
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
-
resolution
string default: 720p -
Resolution preset for the output. When used with input media, automatically matches the aspect ratio from the input.
Allowed values 2 values
-
duration
float default: 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).
Allowed values 3 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»generateAudiogenerateAudio
boolean default: true -
Generate video with synchronized audio including ambient sounds and music.
-
providerSettings»google»personGenerationpersonGeneration
string default: allow_all -
Controls whether people can appear in the generated video.
Allowed values 3 values
- Do not allow people in the generated video.
- Allow adult people only.
- Allow all people including children.
-
providerSettings»google»resizeModeresizeMode
string -
Resize mode for the input media.
Allowed values 2 values
Rain-Slick Arcade Alley Chase
{
"taskType": "videoInference",
"taskUUID": "a97877e0-baec-48b3-82b5-1e0118a0b380",
"model": "google:veo@3.1-lite",
"positivePrompt": "A kinetic nighttime alley lined with retro arcade signs and humming vending machines after a fresh rainstorm, puddles reflecting magenta, cyan, and amber light. A nimble courier in a bright yellow rain jacket sprints through the narrow passage clutching a glowing parcel while two compact security drones weave overhead. The camera begins low near the wet pavement, tracking fast behind the runner, then swings sideways as the courier vaults a stack of crates, splashes through a puddle, and darts beneath hanging wires. Steam bursts from a wall vent, paper flyers peel loose and whirl in the air, distant train rumble overhead, drone rotors buzzing, sneakers slapping water, breath, fabric rustle, sharp electronic warning chirps, a metal trash bin clattering as it gets clipped, final dramatic skid to a stop beneath a flickering game sign. Cinematic realism, crisp motion, rich reflections, energetic pacing, coherent action, synchronized environmental audio.",
"width": 1920,
"height": 1080,
"duration": 8,
"seed": 39171
}{
"taskType": "videoInference",
"taskUUID": "a97877e0-baec-48b3-82b5-1e0118a0b380",
"videoUUID": "6c97fdc1-a0a1-42f0-ad1f-13cbe2c6a7fb",
"videoURL": "https://vm.runware.ai/video/os/a07d11/ws/5/vi/6c97fdc1-a0a1-42f0-ad1f-13cbe2c6a7fb.mp4",
"seed": 39171,
"cost": 0.64
}Abandoned Funfair Storm Revival
{
"taskType": "videoInference",
"taskUUID": "73b3fd25-b777-47c9-9095-983a1121fc05",
"model": "google:veo@3.1-lite",
"positivePrompt": "Animate a dramatic cinematic transition across an abandoned seaside funfair as a storm awakens the machinery. Begin with eerie stillness, scattered debris, sagging rides, and faint wind moving torn banners. The camera slowly pushes forward through puddles and cracked pathways while thunder builds. Midway through the shot, distant lightning flickers and dead ride lights begin sputtering back to life one section at a time. By the end, the Ferris wheel glows intensely, the carousel rotates with uneven jerks, reflections shimmer across rainwater, and the whole scene feels charged with mysterious energy. Realistic textures, strong environmental motion, atmospheric rain and wind, synchronized storm audio with thunder, metal creaks, buzzing lights, and spinning ride mechanics. No people.",
"resolution": "1080p",
"duration": 8,
"seed": 35775,
"inputs": {
"frameImages": [
{
"image": "https://assets.runware.ai/assets/inputs/93f9e8f3-db9d-4859-9a3b-d7b2791e2aea.jpg",
"frame": "first"
},
{
"image": "https://assets.runware.ai/assets/inputs/368bbfc4-1bbf-48be-bd7a-9034697aca5b.jpg",
"frame": "last"
}
]
}
}{
"taskType": "videoInference",
"taskUUID": "73b3fd25-b777-47c9-9095-983a1121fc05",
"videoUUID": "5b8b91d6-7355-41f0-91b1-98b8e634f236",
"videoURL": "https://vm.runware.ai/video/os/a15d18/ws/5/vi/5b8b91d6-7355-41f0-91b1-98b8e634f236.mp4",
"seed": 35775,
"cost": 0.64
}Salt-Flat Mirage Procession
{
"taskType": "videoInference",
"taskUUID": "15929df9-4ed4-460d-8e90-61ccbda91ef6",
"model": "google:veo@3.1-lite",
"positivePrompt": "Animate the supplied first frame into a surreal yet realistic cinematic scene. A monumental sculptural caravan glides slowly across a mirror-smooth salt flat at sunrise, its brass surfaces catching warm light and colored glass casting shifting reflections on the wet ground. Gentle ripples spread under its movement. Heat haze shimmers near the horizon. A few distant birds arc overhead. The camera makes a slow lateral drift with subtle push-in, emphasizing scale and reflection. Natural synchronized audio: soft wind over open plains, faint creaks from the moving structure, shallow water swishing, distant bird calls. Rich atmosphere, elegant motion, grounded physics, high detail.",
"width": 1280,
"height": 720,
"duration": 6,
"seed": 30733,
"inputs": {
"frameImages": [
{
"image": "https://assets.runware.ai/assets/inputs/998936ff-be4b-4e62-aa34-b74c91eacfe8.jpg",
"frame": "first"
}
]
}
}{
"taskType": "videoInference",
"taskUUID": "15929df9-4ed4-460d-8e90-61ccbda91ef6",
"videoUUID": "f328f78e-4194-46ec-97c8-ef3b3d0c7890",
"videoURL": "https://vm.runware.ai/video/os/a12d13/ws/5/vi/f328f78e-4194-46ec-97c8-ef3b3d0c7890.mp4",
"seed": 30733,
"cost": 0.3
}Wind-Torn Glacier Research Ascent
{
"taskType": "videoInference",
"taskUUID": "b0787b57-4a58-441e-92ab-1956a8e3f8f2",
"model": "google:veo@3.1-lite",
"positivePrompt": "Create a realistic cinematic expedition sequence on a massive glacier. Begin with the researcher at the lower ice field, leaning into strong wind and pulling a sled over rough frozen terrain. The camera tracks low and slightly behind, then arcs wider to reveal towering crevasses, wind-blown snow, and the scale of the mountain. Midway, the trek becomes steeper and more difficult, with boots punching through crusted snow, rope lines tightening, and gusts whipping fabric and powder across the frame. End at the ridge in warm late-day light as the same researcher reaches the summit point and pauses to look over the sweeping frozen range. Natural motion, coherent geography, realistic weather, documentary cinematography, synchronized audio of wind, crunching snow, gear rattling, breath, and distant ice groans.",
"width": 1920,
"height": 1080,
"duration": 8,
"seed": 739,
"inputs": {
"frameImages": [
{
"image": "https://assets.runware.ai/assets/inputs/afac7c61-05e7-46fd-b72d-4d47faa7eef1.jpg",
"frame": "first"
},
{
"image": "https://assets.runware.ai/assets/inputs/3db75a3b-bae7-4411-9e5e-b3decf0b875d.jpg",
"frame": "last"
}
]
}
}{
"taskType": "videoInference",
"taskUUID": "b0787b57-4a58-441e-92ab-1956a8e3f8f2",
"videoUUID": "4ac001b8-90bc-4ca6-a927-54f5ce03a23d",
"videoURL": "https://vm.runware.ai/video/os/a09d21/ws/5/vi/4ac001b8-90bc-4ca6-a927-54f5ce03a23d.mp4",
"seed": 739,
"cost": 0.64
}