Bytedance Seedance V1 Pro I2V 720p
Playground
Try it on WaveSpeedAI!Seedance V1 Pro creates coherent multi-shot image-to-video clips with smooth, stable motion and faithful prompt adherence. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Features
A video generation model that creates videos from text prompts and images.
๐ Core Capabilities
๐ฌ 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
๐ฅ 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
๐งฉ 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
๐จ 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
๐ง 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
โ๏ธ 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)
๐ 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
๐ฏ Use Cases
- Creative video content generation
- Prototype development for film and animation
- Commercial video production
- Educational and documentary content
- Fantasy and surreal video creation
โ ๏ธ 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
set -euo pipefail
export WAVESPEED_API_KEY="your-api-key"
REQUEST_BODY=$(cat <<'JSON'
{
"image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg",
"duration": 5,
"aspect_ratio": "21:9",
"camera_fixed": false,
"seed": -1
}
JSON
)
# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
-X POST "https://api.wavespeed.ai/api/v3/bytedance/seedance-v1-pro-i2v-720p" \
-H "Authorization: Bearer ${WAVESPEED_API_KEY}" \
-H "Content-Type: application/json" \
-d "${REQUEST_BODY}")
TASK=$(printf '%s' "${SUBMIT_RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "${TASK}" | jq -r '.id // empty')
if [ -z "${PREDICTION_ID}" ]; then
printf 'Submission response did not contain a prediction id
' >&2
exit 1
fi
RESULT_URL=$(printf '%s' "${TASK}" | jq -r '.urls.get // empty')
if [ -z "${RESULT_URL}" ]; then RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/${PREDICTION_ID}/result"; fi
# 2. Poll until the prediction finishes.
while true; do
RESPONSE=$(curl --silent --show-error --fail-with-body \
"${RESULT_URL}" \
-H "Authorization: Bearer ${WAVESPEED_API_KEY}")
RESULT=$(printf '%s' "${RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
STATUS=$(printf '%s' "${RESULT}" | jq -r '.status // empty')
case "${STATUS}" in
completed) printf '%s\n' "${RESULT}" | jq '.outputs'; break ;;
failed|cancelled|timeout) printf '%s\n' "${RESULT}" | jq . >&2; exit 1 ;;
created|processing) sleep 2 ;;
*) printf 'Unexpected status: %s
' "${STATUS}" >&2; exit 1 ;;
esac
doneParameters
Task Submission Parameters
Request Parameters
| Parameter | Type | Required | Default | Range | Description |
|---|---|---|---|---|---|
| image | string | Yes | - | Input image for video generation; Supported image formats include .jpg/.jpeg/.png; The image file size cannot exceed 10MB, and the image resolution should not be less than 300*300px. | |
| duration | integer | Yes | 5 | 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12 | The duration of the generated media in seconds. |
| prompt | string | No | - | The positive prompt for the generation.max length 2000 | |
| last_image | string | No | - | - | End image, supports both URL and Base64 format. |
| aspect_ratio | string | No | - | 21:9, 16:9, 4:3, 1:1, 3:4, 9:16 | The aspect ratio of the generated media. |
| camera_fixed | boolean | No | false | - | Whether to fix the camera position. |
| seed | integer | No | -1 | - | 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., โsuccessโ) |
| data.id | string | Unique identifier for the prediction, Task Id |
| data.model | string | Model ID used for the prediction |
| data.outputs | array | Output values, usually URL strings; some models return text strings or structured result objects (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.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., โ2023-04-01T12:34:56.789Zโ) |
| 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 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., โsuccessโ) |
| data | object | The prediction data object containing all details |
| data.id | string | Unique identifier for the prediction |
| data.model | string | Model ID used for the prediction |
| data.outputs | array<string | object> | Array of generated outputs (empty when status is not completed). Items are usually URL strings, but may be text strings or structured result objects, depending on the model. |
| data.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to poll for the prediction result |
| data.status | string | Status: created, processing, completed, or failed |
| data.created_at | string | ISO timestamp of when the request was created |
| 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 |