Bytedance Seedream V5.0 Lite Edit Sequential API Documentation

Bytedance Seedream V5.0 Lite Edit Sequential API Documentation

Playground

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 is multi-image editing model designed to apply the same edit across a whole set of images or generate multiple style variations from a single image. It automatically tracks the main subject, keeps identity stable, and generates clean, high-resolution results — ideal for campaigns, product sets, and character line-ups.

Why Choose This?

• Multi-image subject tracking Detects the main subject across all input images and treats them as the same person or object.

• Character consistency lock Preserves facial structure, proportions, and overall identity across every edited output.

• High reference fidelity Maintains lighting, color balance, and key visual details while applying the requested changes.

• Controlled, repeatable edits One prompt drives a consistent transformation across the entire batch.

• Multiple variations Generate multiple style variations from a single source image.

• Prompt Enhancer Built-in tool to automatically improve your edit descriptions.

Parameters

How to Use

1. Upload source images — add up to 10 images containing the same main subject or product.
2. Set max_images first — specify how many edited outputs you want to generate.
3. Write the edit prompt — describe the shared change and include the number of images in your prompt.
4. Choose size (optional) — select the target resolution.
5. Run — submit the job and review the edited series.

Important: Set max_images first, then specify the same number in your prompt!

Example prompt format:

• max_images = 4
• Prompt: “I want to generate 4 images. First, transform into Japanese manga style… Second, transform into cyberpunk neon style…”

Pricing

Billing Rules

• Base price: $0.035 per output image
• Total cost = $0.035 × max_images

Best Use Cases

• Batch Portrait Editing — Apply a fixed style or look across multiple portraits.
• Product Series — Create coherent product images that feel like one set.
• Brand Campaigns — Iterate on the same model or hero product with different styles.
• Character Design — Generate variations in outfits, moods, or lighting.
• E-commerce Catalogs — Refresh seasonal updates with consistent styling.
• Social Media Series — Create visual series where continuity matters.

Pro Tips

• Use clear, global instructions in the prompt (“add winter outfit and snow ambience”) rather than per-image directions.
• Keep input images reasonably consistent in framing and lighting so the model can lock onto the same subject.
• Put your cleanest, clearest reference image first — the model relies on it most strongly for identity.
• Don’t generate too many images at once — larger batches may cause instability. Start with 2–4 images.
• For campaign work, generate at the highest resolution you need once, then downscale for web or social formats.

Notes

• Both prompt and images are required fields.
• Maximum reference images: 10
• Maximum output images per run: 15 (recommended: 2–4 for stability)
• Always match max_images setting with the number specified in your prompt.
• Ensure uploaded image URLs are publicly accessible.

Related Models

• Seedream V5.0 Lite Edit — Single-image editing with style transfer.
• Seedream V5.0 Lite Text-to-Image — Generate images from text prompts.
• Qwen Image Edit Plus — Single-image editing with strong semantic understanding.

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.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  -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}")

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

Response Parameters

Result Request Parameters

Result Response Parameters