Bytedance Seedream V5.0 Pro Layer Decomposition API Documentation

Bytedance Seedream V5.0 Pro Layer Decomposition API Documentation

Playground

Seedream V5.0 Pro Layer Decomposition separates a single image into a base image and transparent layers, enabling flexible compositing, image editing, asset extraction, and layered design workflows. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

Seedream V5.0 Pro Layer Decomposition separates a single input image into one base image and transparent image layers for compositing, design, and editing workflows. It is useful for breaking a flat image into editable visual components that can be reused, rearranged, or refined in downstream creative tools.

Why Choose This?

• Layered image decomposition
  Separate one image into a base image and multiple transparent layers.

• Editing-ready outputs
  Use the decomposed layers for compositing, retouching, layout design, and creative editing.

• Prompt-guided layer control
  Optionally describe the desired layers, targets, objects, bounding boxes, or grouping behavior.

• Automatic element detection
  When no prompt is provided, the model can identify the main elements automatically.

• Flexible output sizes
  Choose auto, 1k, 1.5k, or 2k depending on your workflow needs.

• Transparent PNG layers
  Extracted layers are returned as PNG files with transparency for easier reuse.

Parameters

How to Use

1. Upload an image — Provide a single PNG or JPEG image for decomposition.
2. Add a prompt optional — Describe the objects, groups, targets, or layer structure you want.
3. Choose size — Select auto, 1k, 1.5k, or 2k.
4. Choose output format — Select jpeg or png for the base image.
5. Configure prompt optimization optional — Use optimize_prompt_options when you want standard or fast prompt optimization.
6. Submit — Generate the base image and transparent layer outputs.

Pricing

Pricing is based on the selected size.

Best Use Cases

• Compositing workflows — Separate foreground objects and background elements for layered editing.
• Design production — Convert flat images into editable visual components.
• Marketing asset preparation — Extract reusable objects, people, products, or scene elements from campaign images.
• Creative editing — Rearrange, restyle, replace, or refine isolated image layers.
• Layout workflows — Prepare clean visual parts for presentations, ads, thumbnails, and design systems.
• Post-production — Use decomposed layers for downstream image editing, animation, or visual effects workflows.

Pro Tips

• Use a clear image with distinct foreground, subject, and background regions.
• Add a prompt when you need specific objects, groupings, or layer order.
• Keep the prompt focused on what should become separate layers.
• Choose 2k when higher-resolution layer outputs are needed.
• Use png for the base image when you want a cleaner image-editing workflow.
• Avoid cluttered scenes when you need precise layer separation.

Related Models

• Seedream V5.0 Pro — Generate high-quality images from text prompts.
• Seedream V5.0 Pro Edit — Edit images with text instructions and reference images.
• Seedream V5.0 Lite — Lightweight image generation model.

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",
  "resolution": "1k",
  "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-pro/layer-decomposition" \
  -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