Bytedance Seedream V5.0 Lite Edit Sequential API Documentation

Bytedance Seedream V5.0 Lite Edit Sequential API Documentation

Playground

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Seedream 5.0 Lite Edit Sequential performs multi-image editing while locking character and object identity across shots. It detects main subjects, preserves continuity, and applies controlled edits with up to 4K output. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

Seedream V5.0 Lite Edit Sequential creates a series of images from reference pictures and a text prompt. Explore variations in scenes, styling, and composition for storyboards, product concepts, and visual campaigns.


Why Choose This?

  • Reference-guided creation — Use up to 10 images to guide subjects, styles, and compositions.
  • Natural language editing — Describe the changes you want in plain text.
  • Multiple variations — Explore several scenes or looks in one request.
  • Flexible output — Choose custom dimensions and JPEG or PNG output.

Parameters

ParameterRequiredDescription
promptYesDescribe the images to create, including the desired number and details for each scene.
imagesYesBetween 1 and 10 reference image URLs.
sizeNoOutput dimensions in width*height format, such as 2048*2048. Omit for automatic sizing. See Notes.
max_imagesNoMaximum number of images to generate: 1–15. Default: 1. Reference images and requested outputs must total no more than 15.
output_formatNoOutput image format: jpeg or png.

How to Use

  1. Add reference images — Provide clear pictures of the subjects or elements you want to use.
  2. Set the image count — Choose max_images and state the same number in your prompt.
  3. Write your prompt — Describe each image in order and specify a shared style.
  4. Choose the output settings — Optionally set size, then choose JPEG or PNG.
  5. 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_imagesTotal Price
1$0.035
2$0.070
4$0.140
8$0.280

Supported output sizes, output formats, and reference image count 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

  • Use clear reference images and describe their roles in the prompt.
  • Refer to images by their upload order, such as “Figure 1” and “Figure 2”.
  • Specify both the changes you want and the details you want to retain.
  • Separate scene descriptions with “First,” “Second,” and so on, while keeping shared details consistent.

Notes

  • Both prompt and images are required. Supply image URLs that the service can access.
  • Omit size for automatic sizing; this does not guarantee the same pixel dimensions as the reference image.
  • max_images is an upper limit, not a guarantee of the number of images returned. State the desired count clearly in your prompt.
  • Reference images and requested output images must total no more than 15. For example, 10 references allow up to 5 outputs.
  • 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; separate width and height parameters are not supported.

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",
  "images": [
    "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg"
  ],
  "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/edit-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
done

Retry temporary errors only while polling, never the submit request. Errors, retries and timeouts

Parameters

Task Submission Parameters

Request Parameters

ParameterTypeRequiredDefaultRangeDescription
promptstringYes-The positive prompt for the generation.
imagesarray<string>Yes-0 ~ 10 itemsThe images to edit. A maximum of 10 reference images can be uploaded.
sizestringNo-64 ~ 16384Advanced option. The size of the generated image in pixels (width*height).
max_imagesintegerNo11 ~ 15The 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_formatstringNo-jpeg, pngThe 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

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.statusstringTask status. completed is successful; failed, cancelled, timeout, and deleted are failure terminal statuses.
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.statusstringStatus: completed is successful; failed, cancelled, timeout, and deleted are failure terminal statuses
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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