Bytedance Seedream V5.0 Lite Sequential API Documentation
Playground
Try it on WaveSpeedAI!Seedream 5.0 Lite Sequential generates multi-image sets with consistent characters and objects, unifying palette, lighting, and style across all outputs. Supports up to 4K results for campaigns, storyboards, and product lines. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Features
Seedream V5.0 Lite Sequential creates a series of related images from a single text prompt. Describe individual scenes and a shared visual style for storyboards, creative concepts, and visual storytelling.
Why Choose This?
- Prompt-driven creation — Describe subjects, scenes, lighting, and style.
- Multi-image sequences — Request a series of related images in one run.
- High-resolution output — Generate images with up to 16,777,216 total pixels.
- Shared visual direction — Guide a sequence with common characters, settings, and style.
Parameters
| Parameter | Required | Description |
|---|---|---|
| prompt | Yes | Describe the images to create, including the desired number and details for each scene. |
| size | No | Output dimensions in width*height format, such as 2048*2048. Default: 2048*2048. See Notes for supported sizes. |
| max_images | No | Maximum number of images to generate: 1–15. Default: 1. |
| output_format | No | Output image format: jpeg or png. |
How to Use
- Set the image count — Choose
max_imagesand state the same number in your prompt. - Write your prompt — Describe each image in order and specify a shared style.
- Choose the output settings — Set
sizeif needed, then choose JPEG or PNG. - Generate — Submit your request and download the results.
Pricing
Price = $0.035 × max_images. Billing is based on the selected max_images value, not the number of images ultimately returned.
| max_images | Total Price |
|---|---|
| 1 | $0.035 |
| 2 | $0.070 |
| 4 | $0.140 |
| 8 | $0.280 |
| 15 | $0.525 |
Supported output sizes, output formats do not add separate charges.
Best Use Cases
- Storyboards — Explore a sequence of scenes for a project.
- Visual campaigns — Develop related images with a shared theme.
- Character concepts — Explore outfits, settings, and compositions.
- Social media series — Create images for multi-image posts.
Pro Tips
- Describe the main subject first, then add the setting, lighting, and style.
- Specify important colors, materials, and subject placement.
- Keep instructions clear and avoid conflicting descriptions.
- Separate scene descriptions with “First,” “Second,” and so on, while keeping shared details consistent.
Notes
- This endpoint does not accept reference images. Use Seedream V5.0 Lite Edit Sequential to work with existing images.
- If
sizeis omitted, the default is2048*2048. max_imagesis an upper limit, not a guarantee of the number of images returned. State the desired count clearly in your prompt.- Custom sizes must contain between 3,686,400 and 16,777,216 total pixels, with a width-to-height ratio between 1:16 and 16:1. Both conditions must be met.
- Total pixels are calculated as width × height. Not every combination shown by the size controls meets these limits.
- Specify dimensions through
size; separatewidthandheightparameters are not supported.
Related Models
- Seedream V5.0 Lite Text-to-Image — Generate a single image from a text prompt.
- Seedream V5.0 Lite Edit — Edit images using text instructions.
- Seedream V5.0 Lite Edit Sequential — Create multiple images guided by reference pictures.
Authentication
For authentication details, please refer to the Authentication Guide.
API Endpoints
Submit Task & Query Result
set -euo pipefail
export WAVESPEED_API_KEY="your-api-key"
REQUEST_BODY=$(cat <<'JSON'
{
"prompt": "A cinematic ocean wave at sunrise, highly detailed",
"size": "2048*2048",
"max_images": 1,
"output_format": "jpeg"
}
JSON
)
# 1. Submit the prediction once. Never retry this request automatically:
# a retry after an unclear failure can create a second, billed task.
CHECK='The task may already exist. Check History or the predictions list before submitting again.'
if ! SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
--connect-timeout 10 --max-time 60 \
-X POST "https://api.wavespeed.ai/api/v3/bytedance/seedream-v5.0-lite/sequential" \
-H "Authorization: Bearer ${WAVESPEED_API_KEY}" \
-H "Content-Type: application/json" \
-d "${REQUEST_BODY}"); then
printf 'Submit failed. %s\n' "${CHECK}" >&2
exit 1
fi
TASK=$(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. %s\n' "${CHECK}" >&2
exit 1
fi
RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/${PREDICTION_ID}/result"
# 2. Poll until the prediction reaches a final status.
BODY_FILE=$(mktemp)
trap 'rm -f "${BODY_FILE}"' EXIT
while true; do
# Transient errors (429, 5xx) are retried, honoring Retry-After.
HTTP_CODE=$(curl --silent --show-error --fail-with-body \
--connect-timeout 10 --max-time 60 --retry 5 --retry-delay 2 \
--output "${BODY_FILE}" --write-out '%{http_code}' \
"${RESULT_URL}" \
-H "Authorization: Bearer ${WAVESPEED_API_KEY}" || true)
case "${HTTP_CODE}" in
2??) ;;
000|429|5??) # dropped connection or temporary error: keep polling
printf 'Task %s: HTTP %s, polling again in 10s\n' "${PREDICTION_ID}" "${HTTP_CODE}" >&2
sleep 10; continue ;;
*) printf 'Task %s: HTTP %s\n' "${PREDICTION_ID}" "${HTTP_CODE}" >&2
cat "${BODY_FILE}" >&2; exit 1 ;;
esac
RESULT=$(jq 'if type == "object" and has("data") then .data else . end' "${BODY_FILE}")
STATUS=$(printf '%s' "${RESULT}" | jq -r '.status // empty')
case "${STATUS}" in
completed) printf '%s\n' "${RESULT}" | jq '.outputs'; break ;;
failed|cancelled|timeout|deleted)
printf 'Task %s ended with status %s\n' "${PREDICTION_ID}" "${STATUS}" >&2
printf '%s\n' "${RESULT}" | jq . >&2; exit 1 ;;
*) sleep 2 ;;
esac
doneRetry temporary errors only while polling, never the submit request. Errors, retries and timeouts
Parameters
Task Submission Parameters
Request Parameters
| Parameter | Type | Required | Default | Range | Description |
|---|---|---|---|---|---|
| prompt | string | Yes | - | The positive prompt for the generation. | |
| size | string | No | 2048*2048 | 64 ~ 16384 | The size of the generated image in pixels (width*height). |
| max_images | integer | No | 1 | 1 ~ 15 | The maximum number of images that can be generated (up to 15). This value must align with the number of images specified in the prompt above. |
| output_format | string | No | - | jpeg, png | The format of the output image. |
Every model also accepts the global request options enable_sync_mode and enable_base64_output; see their pages for details.
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.status | string | Task status. completed is successful; failed, cancelled, timeout, and deleted are failure terminal statuses. |
| 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.status | string | Status: completed is successful; failed, cancelled, timeout, and deleted are failure terminal statuses |
| 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 |