Seedream 5.0 Flash Layer Decomposition: AI Image Editor

Split any image into a base plus clean separate layers with the Seedream 5.0 Flash Layer Decomposition API. Prompt or bbox targeting. Pay per generation.

Interactive model controls

Decompose a composite image into a base image plus clean, separate layer assets with Seedream 5.0 Flash Layer Decomposition. Optionally target elements with prompts or <bbox> regions.

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Panoramica

A proposito di questo modello

Seedream 5.0 Flash Layer Decomposition separates a composite image into a base image and independent transparent PNG layers for text, subjects, and graphic elements. Leave the prompt empty to auto-detect the main elements, or describe them and pin exact regions with <bbox>x1 y1 x2 y2</bbox> tags on a 0-1000 normalized grid. It is the fast, low-cost tier alongside Seedream 5.0 Pro Layer Decomposition.

1Design: Turn flat posters into editable layers.
2Marketing: Extract text and subjects for re-layout across formats.
3Video: Prepare layers for parallax and motion graphics.
4Production: Isolate elements for compositing.
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Prezzi e valore

Analisi dei costi

muapiapp$0.459/generation

Prezzi con pagamento per generazione, nessun abbonamento richiesto.

Fal.aiNon disponibile

No dedicated Seedream 5.0 Flash endpoint at this time.

ReplicateNon disponibile

No dedicated Seedream 5.0 Flash endpoint at this time.

**I prezzi della concorrenza sono stimati in base ad architetture di modelli e livelli di utilizzo simili.

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Dettagli tecnici

Schema di configurazione

tempestivostring

Optional. Describe which elements to separate; supports <bbox>x1 y1 x2 y2</bbox> (0-1000 normalized). Leave empty to auto-detect main elements.

Valore predefinitoSeparate the title text <bbox>179 58 809 197</bbox> and the parrot <bbox>330 274 641 991</bbox> into independent layers
URL dell'immaginestring

Source image to decompose (exactly 1; PNG, JPEG, WebP, BMP, TIFF, GIF; max 30MB).

Valore predefinitohttps://static.aiquickdraw.com/tools/example/1786019968051_cKRYLHHu.png
RisoluzioneEnumerazione (opzioni 4)

risoluzione dell'immagine.

Valore predefinitoauto
Formato di uscitaEnumerazione (opzioni 2)

Format of the base image only; separated layers are always PNG.

Valore predefinitojpeg
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Guida all'implementazione

Documentazione per gli sviluppatori

How to Use Seedream 5.0 Flash Layer Decomposition

  1. Provide the source image as image_url (one image, max 30MB).

  2. Optionally add a prompt, e.g. with <bbox> regions, or leave empty to auto-detect.

  3. Choose size auto, 1K, 1.5K, or 2K.

  4. Submit and poll request_id; the output contains the base image and each layer.

curl -X POST https://api.muapi.ai/api/v1/seedream-5.0-flash-layerize \
  -H "Authorization: Bearer $MUAPI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"image_url":"https://static.aiquickdraw.com/tools/example/1786019968051_cKRYLHHu.png","prompt":"Separate the title text <bbox>179 58 809 197</bbox> and the parrot <bbox>330 274 641 991</bbox> into independent layers","resolution":"2K"}'
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Domande comuni

Chiesto frequentemente

What is Seedream 5.0 Flash Layer Decomposition?

It splits one image into a base image plus separate PNG layers, either auto-detected or targeted by prompt and bbox coordinates.

How much does it cost?

Pay per generation with no subscription. Pricing is a flat rate per run at every resolution and size.

What resolutions are supported?

1K and 2K output through the `resolution` parameter (layer decomposition uses `auto`, `1K`, `1.5K` or `2K`).

How do I get the result?

Requests are asynchronous: submit a job, then poll `request_id` or pass a `webhook` URL to be notified on completion.

Which output formats are available?

`png` or `jpeg` via `output_format`.

Is there a sandbox for testing?

Yes — sandbox API keys return mock results instantly with no credits deducted.