Bytedance Seedance V1 Pro I2V 1080p API Documentation
Playground
Try it on WaveSpeedAI!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
| Duration | Price 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
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. | |
| prompt | string | No | - | The positive prompt for the generation.max length 2000 | |
| last_image | string | No | - | - | End image, supports both URL and Base64 format. |
| duration | integer | No | 5 | 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12 | The duration of the generated media in seconds. |
| 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., “success”) |
| 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., “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 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 |
| 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 |