Seedance 1.5 Pro
Seedance 1.5 Pro is a next-generation AI video model from BytePlus that generates cinematic videos with native synchronized audio directly from text or image inputs. It offers precise audio-visual timing, strong motion coherence, expressive camera control, and advanced narrative prompt handling for short video creation.
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»draftIddraftId
string -
Draft ID from a previous draft mode generation. Provide this to produce full quality output from an approved 480p draft preview.
Generation Parameters
Core parameters for controlling the generated content.
-
model
string required value: bytedance:seedance@1.5-pro -
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
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
-
resolution
string -
Resolution preset for the output. When used with input media, automatically matches the aspect ratio from the input.
Allowed values 3 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 1 value
-
seed
integer min: 0 max: 9223372036854776000 -
Random seed for reproducible generation. When not provided, a random seed is generated in the unsigned 32-bit range.
Learn more 1 resource
Provider Settings
Parameters specific to this model provider. These must be nested inside the providerSettings.bytedance object.
providerSettings.bytedance object.-
providerSettings»bytedance»audioaudio
boolean default: true -
Generate synchronized audio. Affects pricing.
-
providerSettings»bytedance»cameraFixedcameraFixed
boolean default: false -
Fix the camera position and angle, preventing any panning, tilting, or zooming effects.
-
providerSettings»bytedance»draftdraft
boolean default: false -
Enable draft mode for rapid iteration. Generates a fast 480p preview. Use the returned draft ID with draftId to produce full quality output from an approved draft.
Bioluminescent Monsoon Market Alley
{
"taskType": "videoInference",
"taskUUID": "5d219290-7a7d-4859-ae06-0404ac3c6296",
"model": "bytedance:seedance@1.5-pro",
"positivePrompt": "A cinematic night scene in a narrow floating market alley during a warm monsoon rain, glowing bioluminescent lanterns hanging from woven canopies, puddles rippling with neon teal and amber reflections, steam rising from street food stalls, fabric banners fluttering, merchants in translucent rain capes, tiny luminous fish swimming through shallow runoff channels beside the walkway. The camera begins with a low forward glide at street level, passing baskets of strange fruit and sizzling copper pans, then gently tilts upward to reveal layered balconies draped in wet vines and hanging lights. A child releases a paper boat into the rainwater stream, a musician under an awning plucks a glass-string instrument, distant thunder rolls, rain patters on canvas, soft crowd chatter and market sounds remain synchronized with the visuals. Highly atmospheric, richly textured, realistic cinematic lighting, coherent motion, immersive sound design, subtle depth of field, premium film look.",
"width": 1920,
"height": 1080,
"duration": 8,
"seed": 94219,
"providerSettings": {
"bytedance": {
"audio": true,
"cameraFixed": false
}
}
}{
"taskType": "videoInference",
"taskUUID": "5d219290-7a7d-4859-ae06-0404ac3c6296",
"videoUUID": "b8f53896-90db-4260-9267-b1a3639bc5ab",
"videoURL": "https://vm.runware.ai/video/os/a09d21/ws/5/vi/b8f53896-90db-4260-9267-b1a3639bc5ab.mp4",
"seed": 94219,
"cost": 0.93798
}Bioluminescent Reef Time-Portal
{
"taskType": "videoInference",
"taskUUID": "0ad22720-f53a-440a-9dd8-61b04b800333",
"model": "bytedance:seedance@1.5-pro",
"positivePrompt": "A cinematic underwater sequence that begins at a tranquil bioluminescent reef and evolves into a surreal time-bending marine spectacle. Preserve the same explorer and reef layout from the first frame, then transition naturally toward the final frame as glowing currents spiral outward and awaken the environment. Schools of fish scatter and regroup, coral polyps pulse with light, strands of plankton shimmer like stars, and a circular portal slowly forms from flowing ribbons of luminescent jellyfish energy. The explorer drifts forward cautiously, fabric straps and air bubbles reacting to the water. Motion is smooth, elegant, and physically coherent, with a slow floating camera push-in and subtle parallax from foreground coral. Synchronized audio: muffled underwater ambience, whale-song echoes, soft crackling bioluminescent energy, swirling water movement, and a rising crystalline hum as the portal opens. Photorealistic cinematic style, rich teal, indigo, magenta, and amber tones, immersive atmosphere, high detail.",
"width": 1280,
"height": 720,
"duration": 8,
"seed": 18357,
"providerSettings": {
"bytedance": {
"audio": true,
"cameraFixed": false
}
},
"inputs": {
"frameImages": [
{
"image": "https://assets.runware.ai/assets/inputs/47b7d5c1-de7c-425c-a30a-882ce04d3c78.jpg",
"frame": "first"
},
{
"image": "https://assets.runware.ai/assets/inputs/d12fa78d-05f1-4fb5-9940-5a8809f7f75a.jpg",
"frame": "last"
}
]
}
}{
"taskType": "videoInference",
"taskUUID": "0ad22720-f53a-440a-9dd8-61b04b800333",
"videoUUID": "7f2f102d-81a0-4982-8552-e55b1fcb21bb",
"videoURL": "https://vm.runware.ai/video/os/a22d05/ws/5/vi/7f2f102d-81a0-4982-8552-e55b1fcb21bb.mp4",
"seed": 18357,
"cost": 0.41688
}Moonlit Clocktower Market Chase
{
"taskType": "videoInference",
"taskUUID": "91c1387d-e455-4b63-8420-4f8ae7db63dd",
"model": "bytedance:seedance@1.5-pro",
"positivePrompt": "A cinematic nighttime market built around an old clocktower in a misty harbor town, blue lanterns swaying overhead, rain-slick cobblestones reflecting light. A masked courier weaves through crowded stalls clutching a glowing brass parcel while distant footsteps close in behind. The camera starts with a wide establishing shot from above, then descends into the crowd, tracking low past hanging fish signs, steaming food carts, fluttering fabric awnings, and startled pigeons. A bell tolls from the clocktower, vendors shout, footsteps splash through puddles, coins rattle, fabric rustles, and the parcel emits a soft mechanical hum synchronized with its pulsing light. The pursuit crescendos as the courier vaults a fruit stand, slides beneath strings of lanterns, and reaches a narrow alley opening to the moonlit docks. Moody, richly textured, suspenseful, high-end cinematic lighting, coherent character motion, realistic ambient sound design, dramatic but grounded tone.",
"width": 864,
"height": 496,
"duration": 5,
"seed": 65545,
"providerSettings": {
"bytedance": {
"audio": true,
"draft": true,
"cameraFixed": false
}
}
}{
"taskType": "videoInference",
"taskUUID": "91c1387d-e455-4b63-8420-4f8ae7db63dd",
"videoUUID": "f3d4744f-6176-491e-a6fb-fdcdfdd3d64f",
"videoURL": "https://vm.runware.ai/video/os/a15d18/ws/5/vi/f3d4744f-6176-491e-a6fb-fdcdfdd3d64f.mp4",
"seed": 65545,
"cost": 0.07292,
"outputs": {
"draftId": "cgt-20260327025345-g766z"
}
}Moonlit Bioluminescent Marsh Ritual
{
"taskType": "videoInference",
"taskUUID": "c2827e42-e9e1-4df2-a3ec-014bc14b9a0e",
"model": "bytedance:seedance@1.5-pro",
"positivePrompt": "Using the provided first-frame image as the opening shot, create a cinematic night sequence in which the masked herbalist slowly wades through a glowing marsh while the reed lantern flickers warmly against cold moonlight. Fireflies swirl in layered depth, ripples spread through the luminous water, reeds bend gently in the breeze, and thin fog curls over the surface. The character pauses, looks toward distant stilt houses, then raises the lantern slightly as if listening to something unseen across the wetlands. Emphasize natural, graceful body motion, subtle cloth movement, reflective water physics, and strong continuity with the source image. Sound design: soft water splashes, frogs and insects, distant wooden creaks, wet reeds brushing together, low night wind, and a faint mystical hum timed to the lantern glow. Atmospheric, immersive, lyrical, high-end fantasy cinematography.",
"width": 1280,
"height": 720,
"duration": 8,
"seed": 88038,
"providerSettings": {
"bytedance": {
"audio": true,
"cameraFixed": false
}
},
"inputs": {
"frameImages": [
{
"image": "https://assets.runware.ai/assets/inputs/90ad4f55-3962-43f1-a969-5c8d713c965f.jpg",
"frame": "first"
}
]
}
}{
"taskType": "videoInference",
"taskUUID": "c2827e42-e9e1-4df2-a3ec-014bc14b9a0e",
"videoUUID": "e2707dd8-33b9-4b3a-9a86-2d0319786198",
"videoURL": "https://vm.runware.ai/video/os/a10d08/ws/5/vi/e2707dd8-33b9-4b3a-9a86-2d0319786198.mp4",
"seed": 88038,
"cost": 0.41688
}