# Seedream v5.0 Flash Layer Decomposition — Atlas Cloud API

> Dola-Seedream-5.0-flash layer decomposition from ByteDance's high-speed, cost-optimized model built for instant creation. Splits one image into a base image plus up to 16 transparent PNG layers with stacking order (z_index), bounding boxes, names, and descriptions - fast, bulk-scale design-asset extraction.

This is the machine-readable API reference for **Seedream v5.0 Flash Layer Decomposition** on Atlas Cloud,
a unified API platform for 400+ AI models across text, image, video, audio and 3D.

- **Model ID**: `bytedance/seedream-v5.0-flash/layer-decomposition`
- **Built by**: ByteDance
- **Modality**: Image
- **Model page**: https://www.atlascloud.ai/models/bytedance/seedream-v5.0-flash/layer-decomposition
- **API key**: https://www.atlascloud.ai/console/api-keys
- **Docs**: https://www.atlascloud.ai/docs

## Pricing on Atlas Cloud

- $0.018 per image
- Pay-as-you-go. No minimum spend, no subscription required.

> **These are the authoritative Atlas Cloud rates for this model.** Any price that
> appears in the vendor description further down refers to a different platform or
> a different model variant and does not apply here.

## Use this model from an AI agent

Atlas Cloud ships three first-party integration surfaces. All three authenticate
with the same API key via the `ATLASCLOUD_API_KEY` environment variable.

### MCP server

The official MCP server (`atlascloud-mcp`) exposes this model to any
MCP-compatible host — Claude Code, OpenAI Codex, Cursor, Gemini CLI, Goose,
Claude Desktop. One-line install:

```bash
# Claude Code
claude mcp add atlascloud -- npx -y atlascloud-mcp

# OpenAI Codex CLI
codex mcp add atlascloud -- npx -y atlascloud-mcp

# Gemini CLI
gemini mcp add atlascloud -- npx -y atlascloud-mcp

export ATLASCLOUD_API_KEY="your-api-key"
```

Then ask in plain English; the agent calls `atlas_generate_image` with `model: "bytedance/seedream-v5.0-flash/layer-decomposition"`.
The server fetches each model's schema and validates parameters before submitting,
so invalid requests fail fast without spending credits.

MCP docs: https://www.atlascloud.ai/docs/mcp-server

### Agent Skills

`atlas-cloud-skills` is a portable skill package (API reference, code templates in
Python / Node.js / cURL, model IDs with pricing) for Claude Code, Cursor, Codex and
12+ other agents:

```bash
npx skills add AtlasCloudAI/atlas-cloud-skills
export ATLASCLOUD_API_KEY="your-api-key"
```

Skills docs: https://www.atlascloud.ai/docs/skills

### CLI

The `atlas` binary runs Atlas Cloud from a terminal or CI script. Async media jobs
are polled and downloaded automatically (use `--no-download` when a script only
needs the output URLs):

```bash
# Install (Homebrew, npm, or shell installer)
brew install AtlasCloudAI/tap/atlascloud
# npm install -g atlascloud-cli
# curl -fsSL https://raw.githubusercontent.com/AtlasCloudAI/cli/main/install.sh | sh

atlas auth login
atlas generate image bytedance/seedream-v5.0-flash/layer-decomposition -p "Your prompt here"
```

CLI docs: https://www.atlascloud.ai/docs/cli

## HTTP API reference

- **Submit endpoint (POST)**: `https://api.atlascloud.ai/api/v1/model/generateImage` — start an async generation; returns a `prediction_id`
- **Poll endpoint (GET)**: `https://api.atlascloud.ai/api/v1/model/prediction/{prediction_id}` — poll this until the prediction finishes
- **Model ID**: `bytedance/seedream-v5.0-flash/layer-decomposition`


## API Information

This model can be used via our HTTP API or more conveniently via our client libraries.
See the input and output schema below, as well as the usage examples.


### Input Schema

The API accepts the following input parameters:

- **`model`** (`string`, _required_):
  Model identifier.
  - Default: `"bytedance/seedream-v5.0-flash/layer-decomposition"`

- **`prompt`** (`string`, _optional_):
  Optional instruction describing which elements to split into layers. Leave empty to let the model automatically detect and split all major elements. You can describe targets in natural language, or pinpoint them with <bbox>x1 y1 x2 y2</bbox> tags using normalized [0, 1000] coordinates (origin at the top-left corner).

- **`image`** (`string`, _required_):
  The image to decompose into layers. Accepts a public URL or Base64-encoded image (png, jpeg, webp, bmp, tiff, gif). Exactly one image; total pixels must be within [512x512, 6000x6000] and aspect ratio within [1/16, 16], max 30MB.

- **`size`** (`string`, _optional_):
  Output resolution tier. auto follows the input image's size (capped to the 1K-2K range). The base image keeps the input's aspect ratio; each layer keeps its own aspect ratio from the original.
  - Default: `"auto"`
  - Options: "auto", "1K", "1.5K", "2K"

- **`output_format`** (`string`, _optional_):
  File format of the base image only. Decomposed layers are always transparent png.
  - Default: `"jpeg"`
  - Options: "jpeg", "png"

- **`enable_sync_mode`** (`boolean`, _optional_):
  If set to true, the function will wait for the result to be generated and uploaded before returning the response. It allows you to get the result directly in the response. This property is only available through the API.
  - Default: `false`

- **`enable_base64_output`** (`boolean`, _optional_):
  If enabled, the output will be encoded into a BASE64 string instead of a URL. This property is only available through the API.
  - Default: `false`



**Required Parameters Example**:

```json
{
  "model": "bytedance/seedream-v5.0-flash/layer-decomposition",
  "image": ""
}
```


**Full Example**:

```json
{
  "model": "bytedance/seedream-v5.0-flash/layer-decomposition",
  "prompt": "",
  "image": "",
  "size": "auto",
  "output_format": "jpeg",
  "enable_sync_mode": false,
  "enable_base64_output": false
}
```


### Output Schema

The API returns the following output format:


- **`code`** (`integer`, _optional_):
  Status code of the call; 200 on success.

- **`message`** (`string`, _optional_):
  Status message of the call.

- **`data`** (`object`, _optional_):
  The prediction: id, model, status, outputs (base image first, then each layer in ascending z-order) and index-aligned layers metadata, plus urls and created_at. Poll GET /api/v1/model/prediction/{request_id} with data.id until status is completed or failed.



**Example Response**:

```json
{
  "code": 0,
  "message": "",
  "data": {}
}
```


## Usage Examples

### cURL

```bash
# Step 1: Start generation (async)
curl -X POST "https://api.atlascloud.ai/api/v1/model/generateImage" \
  -H "Authorization: Bearer $ATLASCLOUD_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "bytedance/seedream-v5.0-flash/layer-decomposition",
  "prompt": "",
  "image": "",
  "size": "auto",
  "output_format": "jpeg",
  "enable_sync_mode": false,
  "enable_base64_output": false
}'

# Response will contain: {"code": 200, "data": {"id": "prediction_id", "status": "processing"}}

# Step 2: Poll for result (replace {prediction_id} with the id returned above)
curl -X GET "https://api.atlascloud.ai/api/v1/model/prediction/{prediction_id}" \
  -H "Authorization: Bearer $ATLASCLOUD_API_KEY"

# Keep polling until status is "completed", "succeeded" or "failed"
# When completed, outputs will contain the generated content URL(s)
```

## Additional Resources

### Documentation

- [Model Playground](https://www.atlascloud.ai/models/bytedance/seedream-v5.0-flash/layer-decomposition)

## About this model

_Vendor-supplied description. Any pricing or endpoint mentioned below refers to_
_other platforms — use the Atlas Cloud values above._

#### 1. Introduction

**Seedream 5.0 Flash Layer Decomposition** is the layer-separation variant of Seedream 5.0 Flash (Dola-Seedream-5.0-flash), ByteDance's high-speed, cost-optimized member of the Seedream 5.0 family added in September 2026 (upstream model version `dola-seedream-5-0-flash-260915`). It covers the API model identifier:
- `bytedance/seedream-v5.0-flash/layer-decomposition`

Supply a single image and the model decomposes it into an editable stack: one base image plus up to 16 independent transparent layers, each returned with its stacking order, bounding-box coordinates, a machine-generated name, and a semantic description. It offers the same decomposition contract as Seedream 5.0 Pro Layer Decomposition ([BytePlus ModelArk](https://docs.byteplus.com/en/docs/ModelArk/1541523)) on the faster Flash inference path. ByteDance positions Dola-Seedream-5.0-flash for instant creation: a high-speed, cost-optimized model covering text-to-image generation, single- and multi-reference image workflows, precision editing, and layer decomposition, aimed at latency-sensitive scenarios such as mobile assistant applications, UGC content creation, and bulk-scale content production.

---

#### 2. Key Features & Innovations

- **Automatic Full-Image Decomposition**: With no prompt, the model identifies every major element — text blocks, subjects, props, background — and splits each into its own layer, often ten or more in a single pass.

- **Three Targeting Modes**: Omit the prompt for automatic decomposition; describe target elements in natural language; or pinpoint them with `<bbox>x1 y1 x2 y2</bbox>` tags using normalized [0, 1000] coordinates.

- **Transparent, Recomposable Assets**: Every layer is a transparent PNG that keeps its own aspect ratio; the base image follows the input's aspect ratio. Stacking layers in z-order reconstructs the full picture.

_(Description truncated. Full text on the model page.)_

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Atlas Cloud — one API for 400+ AI models. Model page: https://www.atlascloud.ai/models/bytedance/seedream-v5.0-flash/layer-decomposition · Docs: https://www.atlascloud.ai/docs