Bytedance Seedance V1 Pro I2V 1080p API Documentation

Bytedance Seedance V1 Pro I2V 1080p API Documentation

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Seedance V1 Pro generates coherent multi-shot image-to-video outputs with smooth motion and prompt-accurate results in 1080p. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

Seedance v1 Pro I2V 1080p generates high-quality 1080p videos from a single reference image plus a motion-focused prompt. Upload a starting image, describe the action and camera intent, and the model animates the scene while keeping the input image as the visual anchor. You can also provide an optional last_image to better control how the clip ends, and enable camera_fixed to keep the camera locked while motion happens within the frame.

Key capabilities

  • Image-to-video generation anchored to a reference image (1080p output)
  • Natural motion and smooth animation for character actions and scene beats
  • Optional last_image support for improved ending continuity
  • Optional camera_fixed mode for fixed framing (no camera movement)
  • Seed control for reproducible iterations

Use cases

  • High-resolution character animation from a single keyframe
  • Cinematic scene beats with controlled blocking and fixed shots
  • Start-to-end guided shots using last_image for more predictable endings
  • Marketing and storytelling clips that need sharper detail at 1080p
  • Generating multiple takes by changing seed while keeping the same prompt

Pricing

DurationPrice per video
5s$0.60
10s$1.20
15s$1.80
20s$2.40

Inputs

  • image (required): starting reference image (first-frame anchor)
  • prompt (required): motion and scene direction
  • last_image (optional): end-frame reference to guide the finishing state

Parameters

  • prompt: describes subject action, scene motion, and camera direction
  • image: input image (upload or URL)
  • last_image: optional end reference image (upload or URL)
  • duration: video length in seconds
  • aspect_ratio: output aspect ratio selection
  • camera_fixed: whether to fix the camera position
  • seed: random seed (-1 for random; fixed value for reproducible results)
  • safety checker: enabled filtering for safer generations (if available in your UI)

Prompting guide (I2V)

For better control, write prompts like a director’s beat sheet:

  • Blocking: who moves where (walks from right to left, stops, gestures)
  • Emotion: facial expression and body language cues (angry, disappointed, calm)
  • Camera: fixed shot, slow push-in, pan, orbit (or keep camera_fixed on)
  • Continuity: keep identity, outfits, and scene layout consistent with the input image

Example prompts

  • Fixed shot. The man on the right walks toward the man on the left and confronts him, visibly dissatisfied. Strong body language, tense atmosphere, natural motion, realistic lighting, 5 seconds.
  • A character turns, takes two steps forward, and points while speaking, cinematic lighting, subtle wind and particles, camera fixed, 5 seconds.
  • Slow push-in on a hero’s face as their expression changes from calm to determined, shallow depth of field, cinematic mood, 5 seconds.

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-1080p" \
  -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.
promptstringNo-The positive prompt for the generation.max length 2000
last_imagestringNo--End image, supports both URL and Base64 format.
durationintegerNo52, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12The duration of the generated media in seconds.
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., “success”)
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., “2023-04-01T12:34:56.789Z”)
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., “success”)
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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