Bytedance Seedance V1 Pro I2V 720p

Bytedance Seedance V1 Pro I2V 720p

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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.


๐ŸŒŸ Core Capabilities

๐ŸŽฌ 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

๐ŸŽฅ 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

๐Ÿงฉ 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

๐ŸŽจ 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

๐Ÿง  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

โš™๏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)

๐Ÿ“Š 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

๐ŸŽฏ Use Cases

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

โš ๏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
done

Parameters

Task Submission Parameters

Request Parameters

ParameterTypeRequiredDefaultRangeDescription
imagestringYes-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.
durationintegerYes52, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12The duration of the generated media in seconds.
promptstringNo-The positive prompt for the generation.max length 2000
last_imagestringNo--End image, supports both URL and Base64 format.
aspect_ratiostringNo-21:9, 16:9, 4:3, 1:1, 3:4, 9:16The aspect ratio of the generated media.
camera_fixedbooleanNofalse-Whether to fix the camera position.
seedintegerNo-1-The random seed to use for the generation. -1 means a random seed will be used.

Response Parameters

ParameterTypeDescription
codeintegerHTTP status code (e.g., 200 for success)
messagestringStatus message (e.g., โ€œsuccessโ€)
data.idstringUnique identifier for the prediction, Task Id
data.modelstringModel ID used for the prediction
data.outputsarrayOutput values, usually URL strings; some models return text strings or structured result objects (empty when status is not completed)
data.urlsobjectObject containing related API endpoints
data.urls.getstringURL to retrieve the prediction result
data.statusstringStatus of the task: created, processing, completed, or failed
data.created_atstringISO timestamp of when the request was created (e.g., โ€œ2023-04-01T12:34:56.789Zโ€)
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds

Result Request Parameters

ParameterTypeRequiredDefaultDescription
idstringYes-Task ID

Result Response Parameters

ParameterTypeDescription
codeintegerHTTP status code (e.g., 200 for success)
messagestringStatus message (e.g., โ€œsuccessโ€)
dataobjectThe prediction data object containing all details
data.idstringUnique identifier for the prediction
data.modelstringModel ID used for the prediction
data.outputsarray<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.urlsobjectObject containing related API endpoints
data.urls.getstringURL to poll for the prediction result
data.statusstringStatus: created, processing, completed, or failed
data.created_atstringISO timestamp of when the request was created
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds
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