Seedance 1.0 Pro
Seedance 1.0 Pro is a ByteDance video model for 5 to 10 second clips at up to 1080p. It supports text prompts and image first frames. It delivers smooth motion with strong temporal consistency. Ideal for multi shot storytelling, ads, and design previews in real time pipelines.
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: bytedance:2@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
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 2 values
-
duration
float min: 1.2 max: 12 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).
-
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»cameraFixedcameraFixed
boolean default: false -
Fix the camera position and angle, preventing any panning, tilting, or zooming effects.
Windswept Cliffside Puppet Caravan
{
"taskType": "videoInference",
"taskUUID": "1cf2d63f-c50f-476d-ba57-e4d0e40139ba",
"model": "bytedance:2@1",
"positivePrompt": "Animate a seamless cinematic progression between the provided first and last frames. Begin with the closed traveling puppet caravan braced against strong coastal wind on a grassy cliff, then transition through lively environmental motion: ribbons snapping, wheels creaking slightly, trunks shifting, curtains fluttering, grass bending in gusts, sea spray rising from waves below. The camera drifts gently forward with subtle lateral parallax, revealing more carved details and theatrical ornaments as the caravan gradually opens into a small stage. Introduce believable motion continuity and handcrafted mechanical actions as panels unfold, lanterns are lit one by one, and the mood shifts from brooding daylight to warm twilight glow. End on the open stage composition from the final frame with stable, elegant framing, rich atmosphere, and strong temporal consistency.",
"width": 1664,
"height": 1248,
"duration": 8,
"seed": 77579,
"providerSettings": {
"bytedance": {
"cameraFixed": false
}
},
"inputs": {
"frameImages": [
{
"image": "https://assets.runware.ai/assets/inputs/25c6ba31-72c4-4abe-b46b-424451ca635c.jpg",
"frame": "first"
},
{
"image": "https://assets.runware.ai/assets/inputs/cf9df5c3-97b8-4100-9881-22e4124d1b9e.jpg",
"frame": "last"
}
]
}
}{
"taskType": "videoInference",
"taskUUID": "1cf2d63f-c50f-476d-ba57-e4d0e40139ba",
"videoUUID": "63b327c3-d285-4ec2-8854-579ffda705f8",
"videoURL": "https://vm.runware.ai/video/os/a24d12/ws/5/vi/63b327c3-d285-4ec2-8854-579ffda705f8.mp4",
"seed": 77579,
"cost": 0.77498
}Midnight Laundromat Drift Sequence
{
"taskType": "videoInference",
"taskUUID": "668ad37d-c078-4d92-a523-7fc79d8ef6b1",
"model": "bytedance:2@1",
"positivePrompt": "A cinematic after-hours laundromat interior with rows of chrome washers, mint and coral detergent boxes, checkerboard tile floor, fluorescent hum, and a lone teenage roller skater gliding through the aisle in a silver satin jacket. One sock tumbles out of an overstuffed dryer and drifts across the floor as the skater passes. The camera performs a smooth low tracking move, weaving between rolling laundry carts and reflecting neon signage from the street outside. Subtle fabric flutter, spinning machine windows, believable wheel motion, polished reflections, expressive color contrast, stylish indie film mood, crisp details, coherent anatomy, natural movement, high temporal consistency.",
"width": 1920,
"height": 1088,
"duration": 8,
"seed": 31607,
"providerSettings": {
"bytedance": {
"cameraFixed": false
}
}
}{
"taskType": "videoInference",
"taskUUID": "668ad37d-c078-4d92-a523-7fc79d8ef6b1",
"videoUUID": "daa8d831-f8f6-403a-8bea-56cc6701fe60",
"videoURL": "https://vm.runware.ai/video/os/a22d05/ws/5/vi/daa8d831-f8f6-403a-8bea-56cc6701fe60.mp4",
"seed": 31607,
"cost": 0.77957
}Flooded Arcade Concourse Chase
{
"taskType": "videoInference",
"taskUUID": "34b36145-2fbd-4a2b-9249-4945ae804e9e",
"model": "bytedance:2@1",
"positivePrompt": "A retro-futurist arcade concourse after a burst pipe, ankle-deep water rippling across neon floor tiles, rows of dormant game cabinets flickering erratically, a courier in a mustard vinyl coat weaving through the aisle clutching a glowing cassette-sized data module while two security drones skim low behind, bright reflections stretching across the wet floor, scattered tokens and paper tickets spinning in the wake, overhead signage sputtering, sparks from a damaged ceiling panel, cinematic chase energy, layered foreground and background action, realistic motion, smooth tracking shot that briefly swings around a corner and reveals a wider hall packed with blinking machines, high detail, moody electric color palette, believable physics, strong continuity from start to finish",
"width": 1920,
"height": 1088,
"duration": 8,
"seed": 55583,
"providerSettings": {
"bytedance": {
"cameraFixed": false
}
}
}{
"taskType": "videoInference",
"taskUUID": "34b36145-2fbd-4a2b-9249-4945ae804e9e",
"videoUUID": "8e7b4338-eeeb-4ab5-b6c7-f547d351a6c3",
"videoURL": "https://vm.runware.ai/video/os/a13d12/ws/5/vi/8e7b4338-eeeb-4ab5-b6c7-f547d351a6c3.mp4",
"seed": 55583,
"cost": 0.77957
}Flooded Subway Violin Reverie
{
"taskType": "videoInference",
"taskUUID": "ae8a5bb2-08e7-4163-915f-1794250b5bc9",
"model": "bytedance:2@1",
"positivePrompt": "A melancholic cinematic scene in an abandoned flooded subway platform: a solitary violinist in a weathered charcoal coat stands ankle-deep in reflective water and begins to play, bow arm moving with graceful realism, ripples spreading across the platform, loose sheet music drifting gently past, overhead emergency lights flickering softly, tiny dust particles and mist in the air, reflections shivering on tiled columns, a distant train headlight glow appearing far down the tunnel without arriving, slow atmospheric push-in, strong temporal consistency, realistic motion, dramatic composition, richly textured surfaces, restrained emotional tone",
"width": 1920,
"height": 1088,
"duration": 8,
"seed": 65969,
"providerSettings": {
"bytedance": {
"cameraFixed": false
}
},
"inputs": {
"frameImages": [
{
"image": "https://assets.runware.ai/assets/inputs/8b6e6777-e827-446d-a44f-1292178bed55.jpg",
"frame": "first"
}
]
}
}{
"taskType": "videoInference",
"taskUUID": "ae8a5bb2-08e7-4163-915f-1794250b5bc9",
"videoUUID": "3dc05f15-8c6d-4f8f-af35-fc1a81ef3089",
"videoURL": "https://vm.runware.ai/video/os/a04d20/ws/5/vi/3dc05f15-8c6d-4f8f-af35-fc1a81ef3089.mp4",
"seed": 65969,
"cost": 0.77957
}