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ByteDanceImage editingCommercial use

Seedream v5.0 Pro Layer Decomposition

ByteDance flagship image layer decomposition. Splits a single input image into an editable stack: one base image plus up to 16 transparent PNG layers, each returned with stacking order (z_index), bounding box coordinates, name, and description for downstream drag/scale/recompose editing.

$0.027per imageUnit inferred from image type (1.5× benchmark, snapshot 2026-09-14).
$0.27Ten outputs at the base tier. Larger sizes and premium quality tiers cost more.
Reference pricingBenchmark unit rate — no paid checkout or subscription on minimaxi.design. Prompt planning in Studio is free.
Seedream v5.0 Pro Layer Decomposition sample output
Sample output · prompt: “Extract the layer content within the red box.”

What it does

Seedream v5.0 Pro Layer Decomposition, in practice.

Seedream 5.0 Pro Layer Decomposition is the intelligent layer-separation variant of ByteDance's flagship Seedream 5.0 Pro model, introduced with the Pro release on July 8, 2026 under the theme "Beyond Generation, It Understands Design." It covers the API model identifier: 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. Regions of the background previously hidden behind extracted subjects are seamlessly inpainted, so every layer — and the base beneath it — is a complete, standalone design a

  • Intelligent Full-Image Decomposition: With no prompt at all, the model automatically identifies every major element — text blocks, subjects, decorations, background — and splits each into its own layer. Complex posters decompose into ten or more independent layers in a single pass.
  • Three Targeting Modes: Omit the prompt for automatic full decomposition; describe target elements in natural language ("split out the parrot and the headline text"); or pinpoint elements exactly with `x1 y1 x2 y2` coordinate tags using normalized [0, 1000] coordinates — a natural fit for click- or box-select canvas interactions.
  • Occlusion Inpainting: Background areas obscured by extracted subjects are restored seamlessly in the output base image, so removing a foreground layer never leaves a hole.
  • Transparent, Recomposable Assets: Every layer is delivered as a transparent PNG that preserves its own aspect ratio from the original image; the base image follows the input's aspect ratio. Stacking the layers back in z-order reconstructs the full picture.
  • Structured Layer Metadata: Each layer carries `z_index` (bottom-up stacking order), a `bounding_box` in both absolute base-image pixels and normalized [0, 1000] coordinates, plus a model-generated `name` and richer `description` — everything a layer panel or canvas editor needs, aligned one-to-one with the output image list.
  • Design-Grade Text Separation: Inherits the Seedream 5.0 family's class-leading multilingual and CJK text rendering, extracting headlines, taglines, and labels as clean standalone text layers — the foundation for localization and copy-swap workflows.

Product photo workspace

This page is a model reference. The workspace supports white backgrounds, scene changes, packaging text edits and model try-on using Qwen Image Edit.

Parameters

What you can set.

ParameterWhat it doesOptions
promptOptional 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
imageThe 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.
sizeOutput 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.auto 1K 1.5K 2K
output_formatFile format of the base image only. Decomposed layers are always transparent png.jpeg png

Sample prompt

The prompt behind the sample.

Extract the layer content within the red box.
size: 1Koutput_format: pngenable_sync_mode: enable_base64_output:

FAQ

Short answers.

How much does Seedream v5.0 Pro Layer Decomposition cost?

List price starts at $0.027 per image at the base resolution; higher resolutions and longer durations cost more. Per-use pricing, no subscription. Model prices are reference prices. The prompt workspace is free during the period shown on the homepage; no automatic charges.

Is Seedream v5.0 Pro Layer Decomposition good for e-commerce product photos?

It is an image-editing model, which is the core job here: background cleanup, relighting, inpainting, label or packaging text fixes and upscaling. Keep one instruction per pass so the product, logo and SKU details stay locked. ByteDance's standard content policy applies.

What does Seedream v5.0 Pro Layer Decomposition take as input?

It is a image editing model. ByteDance flagship image layer decomposition. Splits a single input image into an editable stack: one base image plus up to 16 transparent PNG layers, each returned with stacking order (z_index), bounding box coordinates, name, and description for downstream d

How do I use Seedream v5.0 Pro Layer Decomposition?

Upload the image and describe the edit narrowly. Inpainting, restyle, upscale and background work all do better with one instruction per pass than with a paragraph of changes. Register or sign in to edit product photos with Qwen Image Edit. Other models on this page are catalog references.

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Run Seedream v5.0 Pro Layer Decomposition.

Register or sign in to edit product photos with Qwen Image Edit. Other models on this page are catalog references.

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