Seedream 5.0 Pro Layer Decomposition
Seedream 5.0 Pro Layer Decomposition is designed for one existing image. It produces a base image and exports detected elements as transparent PNG layers. Kyeo validates the true file type, total pixel count, and aspect ratio before the asset enters the task pipeline.
At a glance
What is this model like?
Leave the prompt empty to let the model detect prominent elements automatically, describe the objects to extract, or use a bounding box to identify a more precise region. `output_format` controls only whether the base image is JPEG or PNG. Extracted layers are always transparent PNG files, so the option does not set every output's format.
Key facts
Quickly assess whether this model fits your use case.
Also known as
The same model may appear under different names across documentation and community discussions; this list keeps them easy to search and compare.
Common questions
These practical questions focus on the task, input conditions, and result requirements you should confirm before choosing.
Selection guide
Use these decision points when choosing a model.
If people, products, decorations, or backgrounds need separate adjustment, layer decomposition fits post-production better than a standard style redraw.
If you need only an isolated subject rather than several layers, compare Recraft Remove Background for a simpler workflow.
The actual auto tier is unknown before task creation, so the system preauthorizes at the 2K ceiling. Choose 1K, 1.5K, or 2K explicitly when a fixed budget matters more.
Popular comparisons
Compare common alternatives on the same task to clarify differences in inputs, controls, and cost.
Model comparison
Compare the current model with alternatives at a glance.
Practical usage insights
Practical guidance based on public sources, current on-site limits, and representative tasks.
Layer count is not guaranteed
Layered output is not the original design file
Capabilities
Automatic or targeted separation
Location guidance
Multiple tiers with conservative billing
Use cases
Rearranging product images
Reusing illustration elements
Layout structure analysis
Prompt tips
Name the target object first
Use a bounding box when necessary
Validate structure at 1K
Why choose it
What to know first
Adjustable parameters
Quickly assess whether this model fits your use case.
Credit usage
1K and 1.5K cost 7 credits; 2K costs 14 credits. Because the selected tier is not known before creation when size is auto, Kyeo preauthorizes 14 credits, then reads actual consumption and settles any difference after the task completes.
Before batch generation, run an A/B test with the same assets across the current model and alternatives to validate quality and avoid wasting credits.
FAQ
Related models
Compare these similar candidates before deciding.
Seedream 5.0 Pro
Seedream 5.0 Pro combines text-to-image generation with editing from up to 10 reference images in one entry point. basic maps to 1K and high to 2K. Editing preauthorization rises with the number of inputs, making it useful for multi-image workflows that need a known cost before submission.
Recraft Remove Background
Recraft Remove Background / Capabilities — Kyeo accepts one JPG, PNG, or WebP image up to 5 MB and charges a fixed 1 credit. Download the result to review transparency and subject edges. 1 JPG, PNG, or WebP image up to 5 MB and 16 MP; each dimension must be 256–4096 px.
Topaz Image Upscaler
Topaz Image Upscaler / Capabilities — Topaz Image Upscaler accepts one image and one scale factor on Kyeo AI. It does not read a prompt or change the subject or composition. The values 1, 2, and 4 are width-and-height multipliers, not fixed 1K, 2K, or 4K outputs; calculate the output by multiplying the source width and height by the selected factor.
Sources
Content is based on model documentation, feature references, and the settings available on Kyeo AI.
This page covers only the single-image layer-decomposition workflow currently integrated into Kyeo. It is a dedicated image-processing entry point, not standard text-to-image or multi-image editing. Input geometry, true file type, and size are validated during upload and again at submission.
Used to check the input modes, visible controls, media limits, and availability of the version currently connected to this site. The page and workbench show the actual options.