Bytedance Seedream V5.0 Flash Layer Decomposition API Documentation
Playground
Try it on WaveSpeedAI!Seedream V5.0 Flash Layer Decomposition separates a single image into a base image and transparent layers faster and at lower cost than Seedream V5.0 Pro, enabling flexible compositing, image editing, asset extraction, and layered design workflows at one price for 1K / 1.5K / 2K. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Features
Seedream V5.0 Flash Layer Decomposition separates a single input image into a base image and transparent image layers for compositing, design, and editing workflows. It shares Seedream V5.0 Pro Layer Decomposition’s capability and returns layers faster at a lower price.
Why Choose This?
-
Layered image decomposition
Separate one image into a base image and up to 16 transparent layers. -
Editing-ready outputs
Use decomposed layers for compositing, retouching, layout design, and creative editing. -
Prompt-guided layer control
Optionally describe the desired layers, targets, objects, or grouping behavior. -
Automatic element detection
When no prompt is provided, the model identifies key visual elements automatically. -
One price for every resolution
1k,1.5k, and2kall cost the same.
Parameters
| Parameter | Required | Description |
|---|---|---|
| image | Yes | The image to decompose into layers. Supports PNG and JPEG images. |
| prompt | No | Optional positive prompt describing the desired layers, targets, objects, or grouping behavior. |
| resolution | No | Output resolution tier: 1k, 1.5k, or 2k. |
| output_format | No | Output image format: jpeg or png. Use png to keep layer transparency. |
How to Use
- Upload an image — Provide a single PNG or JPEG image for decomposition.
- Add a prompt optional — Describe the objects, groups, targets, or layer structure you want.
- Choose resolution —
1k,1.5k, or2k; the price is the same. - Choose output format — Select
pngfor transparent layers, orjpeg. - Submit — Generate the base image and layers.
Pricing
A flat $0.459 per request at every resolution.
| Resolution | Price |
|---|---|
| 1k | $0.459 |
| 1.5k | $0.459 |
| 2k | $0.459 |
Best Use Cases
- Compositing workflows — Separate foreground objects and background elements for layered editing.
- Design production — Convert flat images into editable visual components.
- Marketing asset preparation — Extract reusable objects, products, or scene elements from campaign images.
- Creative editing — Rearrange, restyle, replace, or refine isolated image layers.
- High-volume layer extraction — Process large image sets where speed and cost matter.
Pro Tips
- Use a clear image with distinct foreground, subject, and background regions.
- Add a prompt when you need specific objects, groupings, or a fixed number of layers.
- Use
pngoutput when you need the layers’ transparent backgrounds. - Since every resolution costs the same, pick
2kwhen you need higher-resolution layers. - Avoid cluttered scenes when you need precise layer separation.
Related Models
- Seedream V5.0 Flash — Generate images from text prompts.
- Seedream V5.0 Flash Edit — Edit images with text instructions and reference images.
- Seedream V5.0 Pro Layer Decomposition — Higher-quality Seedream 5.0 layer decomposition.
Authentication
For authentication details, please refer to the Authentication Guide.
API Endpoints
Submit Task & Query Result
set -euo pipefail
export WAVESPEED_API_KEY="your-api-key"
REQUEST_BODY=$(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-flash/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 "${PREDICTION_ID}" ]; then
printf 'Submission response did not contain a prediction id
' >&2
exit 1
fi
RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/${PREDICTION_ID}/result"
# 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' "${RESULT}" | jq '.outputs'; break ;;
failed|cancelled|timeout|deleted) printf '%s\n' "${RESULT}" | jq . >&2; exit 1 ;;
*) sleep 2 ;;
esac
doneParameters
Task Submission Parameters
Request Parameters
| Parameter | Type | Required | Default | Range | Description |
|---|---|---|---|---|---|
| image | string | Yes | - | The image to decompose into layers. | |
| prompt | string | No | - | The positive prompt for the generation. | |
| resolution | string | No | 1k | 1k, 1.5k, 2k | The size of the generated media in pixels (width*height). |
| output_format | string | No | jpeg | jpeg, png | The format of the output image. |
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 |