PixVerse V5 Fast
PixVerse V5 Fast is an optimized variant of PixVerse v5 designed for faster video generation and lower latency. It supports text to video and image to video workflows while prioritizing speed and responsiveness, making it suitable for rapid iteration and preview-focused pipelines where audio, templates, and advanced controls are not required.
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 items: 1 -
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.
Examples 2 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."frameImages": [ { "image": "aac49721-1964-481a-ae78-8a4e29b91402", "frame": "first" } ]Format 1: string[]
-
Image input (UUID, URL, Data URI, or Base64).
Format 2: object[] 2 properties
Generation Parameters
Core parameters for controlling the generated content.
-
model
string required value: pixverse:1@5-fast -
Identifier of the model to use for generation.
Learn more 3 resources
-
positivePrompt
string required min: 2 max: 2048 -
Text prompt describing elements to include in the generated output.
Learn more 2 resources
-
negativePrompt
string min: 2 max: 2048 -
Prompt to guide what to exclude from generation. Ignored when guidance is disabled (CFGScale ≤ 1).
Learn more 1 resource
-
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 4 values
-
duration
float -
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.
Bioluminescent Tide Market Nightscape
{
"taskType": "videoInference",
"taskUUID": "be9bd0e5-20f6-4529-ae12-adfa8f4522c9",
"model": "pixverse:1@5-fast",
"positivePrompt": "A luminous floating night market drifting through shallow turquoise tidal flats beneath giant crescent moons, woven reed boats tethered to glowing coral stalls, merchants in reflective silk robes, glass lanterns full of tiny bioluminescent jellyfish, children releasing shimmering paper fish into the air, gentle camera glide forward through the market, fabric banners rippling in ocean breeze, wet surfaces reflecting cyan, amber, and violet light, distant mangrove silhouettes, dreamy fantasy realism, ultra-cinematic composition, layered depth, atmospheric mist, highly detailed, elegant motion, immersive and magical",
"negativePrompt": "blurry, low detail, flicker, jitter, warped anatomy, duplicated people, text, watermark, logo, frame, overexposed, underexposed, harsh noise, washed out colors",
"width": 1280,
"height": 720,
"duration": 8,
"seed": 88343
}{
"taskType": "videoInference",
"taskUUID": "be9bd0e5-20f6-4529-ae12-adfa8f4522c9",
"videoUUID": "87fc1d4d-88f3-4eb7-ab01-68c84482f194",
"videoURL": "https://vm.runware.ai/video/os/a15d18/ws/5/vi/87fc1d4d-88f3-4eb7-ab01-68c84482f194.mp4",
"seed": 88343,
"cost": 0.2475
}Bioluminescent Mangrove Lagoon Twilight
{
"taskType": "videoInference",
"taskUUID": "13643d2c-0465-42c6-a81a-64542b210577",
"model": "pixverse:1@5-fast",
"positivePrompt": "A cinematic twilight glide through a bioluminescent mangrove lagoon, tangled roots rising from glassy water, thousands of tiny blue-green lights shimmering beneath the surface, luminous jellyfish drifting between branches, warm firefly swarms tracing arcs in the humid air, a narrow wooden skiff floating unattended, distant limestone cliffs wrapped in mist, subtle camera dolly forward with gentle parallax, rippling reflections, soft fog, magical realism, ultra-detailed, atmospheric, vivid color contrast, elegant composition, natural motion, high production value",
"negativePrompt": "low detail, blurry, noisy, flickering, shaky camera, distorted anatomy, text, watermark, logo, oversaturated highlights, harsh cuts, duplicate objects, low-quality compression artifacts",
"width": 1280,
"height": 720,
"duration": 8,
"seed": 68019
}{
"taskType": "videoInference",
"taskUUID": "13643d2c-0465-42c6-a81a-64542b210577",
"videoUUID": "996d5937-3ea7-4d72-aad6-595965ef2c58",
"videoURL": "https://vm.runware.ai/video/os/a24d12/ws/5/vi/996d5937-3ea7-4d72-aad6-595965ef2c58.mp4",
"seed": 68019,
"cost": 0.2475
}Bioluminescent Cliffside Observatory
{
"taskType": "videoInference",
"taskUUID": "1f7437bc-b2c7-4db7-94bb-ee313960cd44",
"model": "pixverse:1@5-fast",
"positivePrompt": "A cinematic fantasy sci-fi night scene of a cliffside observatory above a moonlit ocean, bioluminescent flowers softly pulsing, fog drifting through the rocks, subtle camera push-in, shimmering reflections on the glass dome, gentle ocean movement far below, atmospheric teal and violet lighting, majestic scale, detailed environment, elegant motion, high visual polish",
"negativePrompt": "blurry, low detail, flicker, jitter, distorted architecture, extra buildings, text, watermark, people, oversaturated colors, harsh motion, noise, frame warping",
"width": 1280,
"height": 720,
"duration": 5,
"seed": 36273,
"inputs": {
"frameImages": [
{
"inputImage": "https://assets.runware.ai/assets/inputs/f97e7073-d02f-4455-9c24-be5110dcd7f7.jpg",
"frame": "first"
}
]
}
}{
"taskType": "videoInference",
"taskUUID": "1f7437bc-b2c7-4db7-94bb-ee313960cd44",
"videoUUID": "b9fe569b-71a7-4eb0-8d4c-4d6cf76759b6",
"videoURL": "https://vm.runware.ai/video/os/a10d08/ws/5/vi/b9fe569b-71a7-4eb0-8d4c-4d6cf76759b6.mp4",
"seed": 36273,
"cost": 0.1238
}Bioluminescent Jungle Ruins Chase
{
"taskType": "videoInference",
"taskUUID": "6ff9fee8-5850-4397-9c29-463b907ab221",
"model": "pixverse:1@5-fast",
"positivePrompt": "Animate this single establishing frame into a fast cinematic jungle pursuit scene. The camera glides forward through glowing ruins and hanging vines, mist drifting across the ground, bioluminescent particles swirling in the air, subtle lantern flicker reflecting on wet stone, foliage reacting to movement, a sense of unseen creatures rushing nearby, dramatic parallax, atmospheric depth, realistic lighting, vivid teal and amber highlights, high-energy adventure tone, polished blockbuster fantasy cinematography.",
"negativePrompt": "low detail, blurry, distorted anatomy, duplicated subject, flickering artifacts, oversaturated colors, flat lighting, text, watermark, logo, frame border, jittery camera, heavy noise",
"width": 1280,
"height": 720,
"duration": 5,
"seed": 23292,
"inputs": {
"frameImages": [
{
"inputImage": "https://assets.runware.ai/assets/inputs/383ed43a-e931-468e-b0d6-6d61d4e996a7.jpg",
"frame": "first"
}
]
}
}{
"taskType": "videoInference",
"taskUUID": "6ff9fee8-5850-4397-9c29-463b907ab221",
"videoUUID": "e9864f77-265e-40d4-95a7-c0a16ceb6734",
"videoURL": "https://vm.runware.ai/video/os/a20d05/ws/5/vi/e9864f77-265e-40d4-95a7-c0a16ceb6734.mp4",
"seed": 23292,
"cost": 0.1238
}Bioluminescent Canyon Skywhale Migration
{
"taskType": "videoInference",
"taskUUID": "c8abf1f4-06cd-4de4-9b1d-1d2b63cbac80",
"model": "pixverse:1@5-fast",
"positivePrompt": "A vast moonlit desert canyon filled with bioluminescent flowers and drifting blue mist, enormous skywhales gliding slowly between towering rock arches, tiny riders on hanging lantern skiffs following the migration, shimmering particles in the air, soft volumetric light, cinematic wide shot, ethereal fantasy realism, detailed textures, graceful motion, atmospheric depth, awe-struck and serene mood",
"negativePrompt": "low detail, blurry, flicker, jitter, distortion, extra limbs, deformed creatures, text, watermark, logo, frame, oversaturated, noisy, harsh cuts",
"width": 1280,
"height": 720,
"duration": 8,
"seed": 38429
}{
"taskType": "videoInference",
"taskUUID": "c8abf1f4-06cd-4de4-9b1d-1d2b63cbac80",
"videoUUID": "80c896f3-037c-4355-b248-4e9537f23d3c",
"videoURL": "https://vm.runware.ai/video/os/a09d21/ws/5/vi/80c896f3-037c-4355-b248-4e9537f23d3c.mp4",
"seed": 38429,
"cost": 0.2475
}