Bytedance Seedance V1 Lite T2V 720p

Playground

ByteDance Seedance is an advanced AI video model that excels in coherent multi-shot video generation. It can deliver smooth, stable motion, and accurately follow detailed prompts for complex video content.

Features

Seedance 1.0

A video generation model that creates videos from text prompts and images.

🌟 Core Capabilities

🎬 Video Generation

Text-to-Video (T2V): Generate videos from text descriptions
Image-to-Video (I2V): Generate videos from static images with optional text prompts
Resolution: Outputs 1080p videos

🎥 Motion and Dynamics

Wide dynamic range supporting both subtle and large-scale movements
Maintains physical realism and stability across motion sequences
Handles complex action sequences and multi-agent interactions

🧩 Multi-Shot Support

Native multi-shot video generation with narrative coherence
Maintains consistency in subjects, visual style, and atmosphere across shot transitions
Handles temporal and spatial shifts between scenes

🎨 Style and Aesthetics

Supports diverse visual styles: photorealism, cyberpunk, illustration, felt texture, and more
Interprets stylistic prompts accurately
Maintains cinematic quality with rich visual details

🧠 Prompt Understanding

Parses natural language descriptions effectively
Stable control over camera movements and positioning
Accurate interpretation of complex scene descriptions
Strong prompt adherence across generated content

⚙️ Technical Specifications

Model Version: 1.0
Output Resolution: 1080p
Input Types: Text prompts, images (for I2V mode)
Video Length: Multi-shot capable (specific duration limits not specified)

📊 Model Performance

Based on internal benchmarks using SeedVideoBench-1.0 and third-party evaluations:

High scores in prompt adherence
Strong motion quality ratings
Competitive aesthetic quality
Effective source image consistency in I2V tasks

🎯 Use Cases

Creative video content generation
Prototype development for film and animation
Commercial video production
Educational and documentary content
Fantasy and surreal video creation

⚠️ Limitations

Performance metrics based on specific benchmark datasets
Actual generation quality may vary with prompt complexity
Multi-shot consistency depends on prompt clarity and scene descriptions

Authentication

For authentication details, please refer to the Authentication Guide.

API Endpoints

Submit Task & Query Result


# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/bytedance/seedance-v1-lite-t2v-720p" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
    "prompt": "Neon-toned, blending retro print aesthetics with street style. A cool frog wearing a hoodie and sunglasses nods to the beat. Behind it, a neon-pink backdrop gently pulses.",
    "aspect_ratio": "16:9",
    "duration": 5,
    "seed": -1
}'

# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"

Parameters

Task Submission Parameters

Request Parameters

Parameter	Type	Required	Default	Range	Description
prompt	string	Yes		-	Text prompt for video generation; Positive text prompt; Cannot exceed 2000 characters.
aspect_ratio	string	No	16:9	-	The aspect ratio of the generated video.
duration	integer	Yes	5	5 ~ 10	The duration of the generated media in seconds.
seed	integer	No	-1	-1 ~ 2147483647	The random seed to use for the generation. -1 means a random seed will be used.

Response Parameters

Parameter	Type	Description
code	integer	HTTP status code (e.g., 200 for success)
message	string	Status message (e.g., “success”)
data.id	string	Unique identifier for the prediction, Task Id
data.model	string	Model ID used for the prediction
data.outputs	array	Array of URLs to the generated content (empty when status is not `completed`)
data.urls	object	Object containing related API endpoints
data.urls.get	string	URL to retrieve the prediction result
data.has_nsfw_contents	array	Array of boolean values indicating NSFW detection for each output
data.status	string	Status of the task: `created`, `processing`, `completed`, or `failed`
data.created_at	string	ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”)
data.error	string	Error message (empty if no error occurred)
data.timings	object	Object containing timing details
data.timings.inference	integer	Inference time in milliseconds

Result Query Parameters

Result Request Parameters

Parameter	Type	Required	Default	Description
id	string	Yes	-	Task ID

Result Response Parameters

Parameter	Type	Description
code	integer	HTTP status code (e.g., 200 for success)
message	string	Status message (e.g., “success”)
data	object	The prediction data object containing all details
data.id	string	Unique identifier for the prediction, the ID of the prediction to get
data.model	string	Model ID used for the prediction
data.outputs	array	Array of URLs to the generated content (empty when status is not `completed`)
data.urls	object	Object containing related API endpoints
data.urls.get	string	URL to retrieve the prediction result
data.has_nsfw_contents	array	Array of boolean values indicating NSFW detection for each output
data.status	string	Status of the task: `created`, `processing`, `completed`, or `failed`
data.created_at	string	ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”)
data.error	string	Error message (empty if no error occurred)
data.timings	object	Object containing timing details
data.timings.inference	integer	Inference time in milliseconds

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