Vidu Q1
Vidu Q1 is a generative video model that preserves visual fidelity from multiple reference images. It supports character, scene and prop control with smooth transitions and 1080p clips. Ideal for ads, story sequences and animation workflows that need tight visual continuity.
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: vidu:1@1 -
Identifier of the model to use for generation.
Learn more 3 resources
-
positivePrompt
string min: 2 max: 3000 -
Text prompt describing elements to include in the generated output.
Learn more 2 resources
-
width
integer paired with height -
Width of the generated media in pixels.
Learn more 2 resources
-
height
integer paired with width -
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 2 values
-
seed
integer min: 0 max: 2147483647 -
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.vidu object.
providerSettings.vidu object.-
providerSettings»vidu»bgmbgm
boolean default: false -
Enable background music generation.
-
providerSettings»vidu»movementAmplitudemovementAmplitude
string default: auto -
Movement intensity in the generated video.
Allowed values 4 values
- Automatically determines movement level based on content.
- Minimal movement with subtle animations.
- Moderate movement with balanced dynamics.
- High movement with pronounced animations.
-
providerSettings»vidu»stylestyle
string default: general -
Visual style.
Allowed values 2 values
- Standard photorealistic style.
- Anime/manga visual aesthetic.
Flooded Subway Breakdance Duel
{
"taskType": "videoInference",
"taskUUID": "87683d30-3940-4175-8d2e-faec341643a5",
"model": "vidu:1@1",
"positivePrompt": "A high-energy anime sequence inside an abandoned subway platform partially covered by shallow reflective water, two rival breakdance crews facing off in a circle of flickering vending machines and glitching route displays, the lead dancer in a chrome silver jacket launches into intricate spins and handstands while the opposing dancer answers with acrobatic footwork, spectators clap and stomp in rhythm, splashes ripple across the floor, dramatic tracking camera, fast but readable action choreography, expressive faces, bold color contrast, electric cyan and magenta highlights, detailed environment, polished animation, cinematic depth, seamless motion transitions",
"width": 1920,
"height": 1080,
"duration": 5,
"seed": 38389,
"providerSettings": {
"vidu": {
"movementAmplitude": "large",
"style": "anime"
}
}
}{
"taskType": "videoInference",
"taskUUID": "87683d30-3940-4175-8d2e-faec341643a5",
"videoUUID": "1f1c4795-c010-4814-b656-68b0b9df206e",
"videoURL": "https://vm.runware.ai/video/os/a07d11/ws/5/vi/1f1c4795-c010-4814-b656-68b0b9df206e.mp4",
"seed": 38389,
"cost": 0.22
}Neon Koi Alley Chase
{
"taskType": "videoInference",
"taskUUID": "45ab1f17-11be-461f-9262-e563317a3cba",
"model": "vidu:1@1",
"positivePrompt": "Anime action sequence in a narrow futuristic alley lined with glowing koi hologram signs, puddles reflecting pink and cyan light, hanging cables, steam vents, vending machines, and layered shop facades. A teenage courier in a mustard bomber jacket sprints through the alley carrying a small sealed parcel while two compact drone pursuers weave overhead. The camera starts low near the wet pavement, then tracks forward beside the runner, pushing through drifting steam and flashing reflections. Midway, the courier vaults over stacked crates, slides under a half-open security shutter, and turns into a brighter side passage filled with animated fish-shaped signage. Dynamic cel-shaded lighting, crisp anime linework, expressive motion, vivid color contrast, high detail, coherent character design, smooth transitions, cinematic energy.",
"width": 1920,
"height": 1080,
"duration": 5,
"seed": 31299,
"providerSettings": {
"vidu": {
"movementAmplitude": "large",
"style": "anime"
}
}
}{
"taskType": "videoInference",
"taskUUID": "45ab1f17-11be-461f-9262-e563317a3cba",
"videoUUID": "3bed2051-a0e6-44a2-bc2d-8cff33f6bb5a",
"videoURL": "https://vm.runware.ai/video/os/a21d05/ws/5/vi/3bed2051-a0e6-44a2-bc2d-8cff33f6bb5a.mp4",
"seed": 31299,
"cost": 0.22
}Orbital Greenhouse Evacuation Corridor
{
"taskType": "videoInference",
"taskUUID": "f3b64352-98e2-48a6-a7fe-7d77a2e75040",
"model": "vidu:1@1",
"positivePrompt": "Inside a damaged orbital greenhouse corridor, cracked glass panels reveal a sweeping view of Saturn's rings beyond. Vines drift in low gravity, loose seed packets tumble through the air, and emergency guidance strips pulse amber along the floor. A young maintenance engineer in a white exosuit pushes off a wall and glides forward, catching a floating tablet, then turning toward a sealed hatch as tiny droplets and leaves spin around her. The camera begins with a wide tracking shot down the curved corridor, then eases into a close side follow as she moves through shafts of harsh sunlight and rotating warning shadows. Highly detailed cinematic sci-fi, realistic materials, subtle lens bloom, dramatic contrast, smooth motion, coherent character design, polished commercial-quality visuals.",
"width": 1920,
"height": 1080,
"duration": 5,
"seed": 91569,
"providerSettings": {
"vidu": {
"movementAmplitude": "medium",
"style": "general"
}
}
}{
"taskType": "videoInference",
"taskUUID": "f3b64352-98e2-48a6-a7fe-7d77a2e75040",
"videoUUID": "278a81ef-9494-4f30-9b0f-a9d7aa682a7d",
"videoURL": "https://vm.runware.ai/video/os/a01d21/ws/5/vi/278a81ef-9494-4f30-9b0f-a9d7aa682a7d.mp4",
"seed": 91569,
"cost": 0.22
}Art Deco Arcade Metamorphosis
{
"taskType": "videoInference",
"taskUUID": "26931505-76d7-467c-9847-a0715dfc2a82",
"model": "vidu:1@1",
"positivePrompt": "A smooth cinematic transformation between two matching reference frames inside a grand Art Deco amusement arcade. Start with a still, elegant hall of brass game cabinets and geometric marble patterns, then gradually animate the environment as indicator lights flicker on, ticket rolls unravel through the air, mirrored panels rotate, machine parts blossom into decorative floral mechanisms, and the central stage opens into a luminous spiral centerpiece. The camera makes a gentle forward glide with strong visual continuity, preserving architecture and object placement from the reference images. Rich metallic reflections, intricate period details, whimsical spectacle, polished high-end advertisement feel.",
"width": 1920,
"height": 1080,
"duration": 5,
"seed": 35998,
"inputs": {
"frameImages": [
{
"image": "https://assets.runware.ai/assets/inputs/134fbe45-eb85-4849-89d9-3f31331c7df1.jpg",
"frame": "first"
},
{
"image": "https://assets.runware.ai/assets/inputs/bfbf7a77-b78b-46bd-bbc9-0ab99e9baef8.jpg",
"frame": "last"
}
]
}
}{
"taskType": "videoInference",
"taskUUID": "26931505-76d7-467c-9847-a0715dfc2a82",
"videoUUID": "007ccf39-1301-4dbb-8ad9-ab23bd80663b",
"videoURL": "https://vm.runware.ai/video/os/a02d21/ws/5/vi/007ccf39-1301-4dbb-8ad9-ab23bd80663b.mp4",
"seed": 35998,
"cost": 0.22
}