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AI image processing model
ByteDance
Seedream

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.

Input
Exactly 1 image
Output
Base image + transparent layers
Tiers
auto/1K/1.5K/2K
Credits
7–14
30-second overview
  • Accepts exactly 1 image and stays separate from standard multi-image editing
  • Supports PNG/JPEG up to 30 MB
  • Requires 262,144–36,000,000 total pixels and a 1:16–16:1 aspect ratio
  • Lets the base image use JPEG/PNG while extracted layers remain transparent PNG

Popular searches: how to use Seedream layer decomposition · how to split an image into layers with AI · Seedream Layer Decomposition supported formats

Examples

Visual concept

Visual concept

请将我上传的每一张照片分别制作成一张独立的高级设计海报,不多图拼接,每张照片单独输出。整体采用3:4竖版构图,上下两个区域高度严格1:1,各占画面50%。 上半部分保留原始照片,保持主体身份、结构、姿态、真实质感、自然光影和原有色彩氛围,仅进行轻微高级摄影调色,使其具有艺术杂志、独立出版物与展览摄影质感。为适配画幅,可自然扩展天空、地面或环境背景,但不得拉伸、扭曲或改变主体。 下半部分提取照片中最具识别性的主体、轮廓、姿态与叙事关系,将其转化为一套完整的品牌包装与物料视觉系统。不要简单复制照片,而是把主体特征提炼成可重复使用的核心图形、插画符号、纹样、色块或识别元素,再分别应用到不同尺寸和用途的包装载体中,使所有物料一眼属于同一个视觉家族。 根据原图主题自动选择最合适的 5–8 种载体,例如纸袋、包装盒、套盒、标签、吊牌、票券、卡片、贴纸、封套、杯具包装、钥匙挂件、包装纸或其他相关物料,不强行使用固定品类。以 1–2 个主包装作为视觉重心,其余物料按大小、横竖比例和功能形成模块化组合;使用清晰网格、边缘对齐、尺度反差、间距节奏和大面积留白组织画面,像专业品牌设计工作室的 packaging identity presentation board,而不是商品陈列或杂乱 mockup 拼贴。 配色保持柔和、通透、略微去饱和的高级色系,以浅粉蓝、雾蓝、天空蓝、空气感冷调蓝为主,搭配象牙白、奶油白、浅米色、柔和灰绿和建筑中性色,仅用少量 dusty rose 或 muted blush 作为视觉跳点。不同包装可以改变颜色面积和组合方式,但必须保持同一套色彩系统,形成丰富而统一的系列感。 材质强调真实而精致的纸张与包装工艺,可表现哑光纸、细纹纸、厚卡、半透明纸、压纹、模切、折叠、贴纸、局部印刷与轻微层叠关系;光线柔和自然,只用于表现纸张厚度、折痕和材质差异,避免塑料感、强反光、夸张3D和廉价商品渲染。 文字也作为整个包装系统的一部分统一设计。从原图的主体名称、主题、情绪、功能或象征意义中提炼一个简短英文主标题,并延展出极少量副标题、短句、编号、品类名称或微型说明。文字可以根据不同载体自然变化:竖排于吊牌、沿包装边缘延伸、环绕圆形标签、跨越盒面、隐藏在图形之间或成为包装封口结构的一部分,使字体、图形和材质共同形成完整品牌语言,而不是每件物料重复贴上同一个标题。 整体呈现为一张高级品牌包装系统 / 视觉识别提案板:丰富但不拥挤,活泼但有秩序,既展示完整系列,也能看到图形、文字、材质与不同载体之间的设计逻辑。无论原图是人物、动物、植物、建筑、器物、食物、交通工具或自然景观,都应从原图本身建立独特的包装语言,避免固定产品组合、重复模板、电商展示感和普通品牌 mockup 套版。

Visual concept

Visual concept

Create an ultra-premium advertising poster for Guerlain perfume, in the visual spirit of the Aqua Allegoria line, using a minimalist ingredient-board composition on a clean pale ivory-warm-gray background. The image should feel fresh, refined, precise, airy, and extremely luxurious, like an international fragrance campaign with highly controlled composition and couture-level still-life photography. Main composition: Place one realistic Guerlain Aqua Allegoria perfume bottle exactly at the center as the absolute hero object. The bottle must be unmistakably Guerlain: elegant transparent glass bottle, luminous pale golden perfume liquid, refined honeycomb texture, iconic rounded gold cap, crisp luxurious label, crystal-clear reflections, and exquisite premium detail. The bottle should be the brightest, clearest, and most luminous object in the image. Composition structure: Arrange the fragrance-note ingredients in a restrained, spread-out, flat-lay-inspired composition around the bottle, not as a wreath, not as a bouquet, and not as a dense decorative frame. The note elements should feel gently laid out on the same surface behind and around the bottle, with open spacing, calm visual balance, and strong editorial restraint. The bottle remains dominant while the ingredients act as a refined composition board. Fragrance-note layout: Create four carefully art-directed note clusters around the central Guerlain bottle: top left: fresh mandarin and bergamot slices, glossy citrus peel, a few dew droplets top right: delicate white floral cluster such as orange blossom and neroli petals, with elegant green leaves bottom left: a fresh basil or green aromatic herb cluster, clean, sculptural, vibrant, premium bottom right: soft white musk-inspired element interpreted as smooth pale material, translucent petals, or clean airy white botanical texture, with a few crystal-clear droplets Visual language: The surrounding ingredients should be slightly deeper, richer, and more saturated than the perfume bottle itself, so the transparent bottle stands out clearly. The ingredient clusters must feel premium, hyper-real, fresh, tactile, and materially rich, like botanical specimens in a luxury fragrance editorial. Keep them restrained, crisp, and sculptural, never messy. Background: Use a very clean pale ivory-gray or warm light stone background with no environmental clutter. The surface should feel softly matte, smooth, and expensive. Add only subtle natural shadows beneath each element to create depth while preserving the flat, controlled, and elevated luxury-ad look. Typography: Typography must be extremely minimal, elegant, and editorial. Do not place any scattered small black text in the upper-left corner. Keep the layout elevated and quiet. Place a clean centered title at the top: “GUERLAIN” “AQUA ALLEGORIA” Under the bottle, place a restrained supporting line: “mandarin, bergamot, neroli, basil, white musk” or “fresh clarity in botanical couture” Optional refined Chinese support in very small tasteful typography: “娇兰香水” “极简清爽” “精致到每一寸细节” Add tiny elegant labels near the ingredient clusters if needed: “MANDARIN” “NEROLI” “BASIL” “WHITE MUSK” or bilingual minimalist labels: “柑橘” “橙花” “罗勒” “白麝香” The labels should be very subtle, airy, and integrated into the composition. Color palette: pale ivory background, transparent golden perfume tone, fresh citrus yellow, leaf green, soft white petals, warm gold accents, clear dew highlights. The overall palette should feel clean, refreshing, luminous, and expensive. Mood: clean, fresh, luminous, precise, restrained, botanical, couture, luxurious, airy, highly detailed, editorial, calm, elegant, unforgettable. Rendering: hyper-detailed luxury perfume photography, pristine glass reflections, realistic citrus texture, crisp leaf detail, delicate white petals, subtle water droplets, elegant soft shadows, 8k, international fragrance campaign quality, minimal but powerful, extremely refined. Negative prompt: crowded composition, wreath arrangement, bouquet styling, messy props, dark dramatic background, weak Guerlain identity, blurry bottle, cheap cosmetic ad, too much text, upper-left scattered black text, plain black font, low detail, random filler objects, overdecorated scene, childish layout

Visual concept

Visual concept

Composition & Subject: A professional front-facing studio shot of a hyper-realistic [INSERT OBJECT] standing vertical. The object features intense textural details like [DESCRIBE OBJECT TEXTURES]. Pouch Structure (Dual Material): The vacuum-sealed pouch is composed of two distinct layers. The back layer is a solid, opaque, industrial matte-white material (providing a high-contrast backdrop). The front layer is crystal-clear, high-gloss transparent plastic, allowing the object to be seen with perfect clarity and sharp detail. Vacuum Physics & Compression: The packaging demonstrates extreme vacuum-contoured compression. The plastic is sucked inward like a second skin, clinging tightly to the [DESCRIBE KEY PROTRUDING PARTS] of the object. This creates aggressive, sharp tension micro-folds and deep sculptural wrinkles that radiate from the object's silhouette. The pouch edges feature a crisp, industrial micro-dotted heat-seal pattern. Packaging Detail: The top features a circular punch-hole for hanging display, located above a realistic zip-lock seal track. The vacuum effect is powerful, with the clear front plastic sucked tightly against the contours, creating sharp, ray-traced reflections and deep tension folds. Graphics & Strategic Placement: Upper Label: A crisp white thermal rectangular sticker with a barcode and price tag of "$[INSERT PRICE]" is placed at the top-left, positioned precisely below the zip-lock seal line. Lower QR: A premium square holographic QR-code with prismatic iridescent reflections is located at the bottom-left corner. Typography & Extended Pattern: The word "[INSERT OBJECT NAME IN CAPS]" is printed vertically in a bold black Swiss font along the right side, layered over a black halftone dot-matrix pattern that extends fully to the mid-point of the pouch and then gradually fades/dissolves from there towards the center, creating a sophisticated transition. Lighting & Background: Set against a pitch-black minimalist background. Cinematic Amber and Electric Blue rim lighting outlines the silhouette, highlighting the contrast between the white back and the clear front plastic, ensuring a zero-flatness, 3D pop. Technical Specs: Commercial product photography, 8k, Unreal Engine 5.4 render style, macro-detail, zero-flatness, ultra-high contrast, focus on extreme transparency of the front layer.

Visual concept

Visual concept

Create an ultra-realistic premium square artwork (1:1). MAIN CONCEPT: Create a museum-grade crystal glass cube relic containing: "الدرعية" The location should appear as a magical miniature civilization preserved forever inside a luxury glass artifact. COMPOSITION: Luxury product photography: • transparent crystal display object • person's hand carefully holding it • extreme macro details • elegant dark blurred background • cinematic reflections • museum showcase lighting INSIDE THE GLASS: Automatically create a miniature world representing the location. Include: • famous old skyline • cultural symbols • nature elements • heritage patterns • historical scenes The miniature city should look: • incredibly detailed • physically built inside glass • realistic scale model • premium collector object GLASS DETAILS: Show: • realistic refraction • tiny reflections • polished crystal edges • dust particles • luxury craftsmanship STYLE: Blend: • museum artifact • luxury jewelry photography • architectural model • cinematic realism TEXT: Engrave on the glass base: "الدرعية" with elegant typography. Small SIGNATURE: Tiny engraving at bottom left: "هندسة وفكرة البرومت: فيصل الفيصل" "Prompt Engineering & Concept: Faisal AlFaisal" Almost invisible collector mark. QUALITY: Ultra realistic, 8K, macro lens, HDR, premium product photography. NEGATIVE: No cartoon, no fantasy glow, no plastic, no fake glass. Aspect ratio: 1:1

Visual concept

Visual concept

9:16 竖版,高精度 3D CG 东方幻想甜酷少女角色海报,3D CG oriental fantasy girl character portrait,anime-style 3D CG character art,semi-realistic 3D character render,full body portrait,画面主体是一位明确成年的年轻东方幻想系女性角色,视觉年龄约 20–24 岁,整体气质甜美、轻俏、元气、梦幻、带一点小恶魔精灵般的可爱感。整体不是平面插画,而是高完成度 3D CG 角色渲染,具有精致角色建模、真实材质表现、通透色彩、柔和光影与高级虚拟角色海报质感。 人物拥有精致甜美的东方美型脸,小巧鹅蛋脸,皮肤白皙细腻,带轻微通透感与柔和皮肤着色。眼睛大而明亮,瞳色为粉紫色与浅玫瑰紫混合,瞳孔有细腻玻璃高光,眼神温柔灵动,带一点俏皮与亲近感。睫毛纤长,眼妆清透自然,鼻梁秀气小巧,嘴唇柔软,唇色为低饱和樱花粉,神情轻松可爱,嘴角带浅浅微笑。 发型为薄荷蓝绿色长发,发丝丰盈顺滑,带高精度发丝建模与柔亮光泽,长发自然披散至腰间,发尾带轻微卷度与空气感。额前是轻盈碎刘海,两侧有柔软脸侧发修饰轮廓。人物拥有精致的浅色小角、尖耳与细长尾巴,增强东方幻想精灵 / 小恶魔气质。头部佩戴紫色蝴蝶结头饰与小型幻想装饰,细节精致统一。 服装保留原图的甜酷现代感,并调整为更精致的 3D CG 东方幻想日常造型:上身为浅粉色短款连帽卫衣,带淡紫色袖口、紫色蝴蝶结系带与胸前半透明爱心装饰,面料柔软蓬松,具有真实织物纹理; 下身为浅蓝色超低腰牛仔短裤,版型改为更贴身、更紧致的包裹式设计,牛仔面料紧紧贴合腰部、臀部与大腿根部,裤腰、裤脚边缘以及臀胯连接处要有比较明显的勒肉感与挤压感。短裤边缘轻微嵌入皮肤,形成自然柔软的肉感起伏,尤其是腰侧、胯部和大腿根位置要有清晰的紧绷受力效果,体现真实的紧身牛仔材质表现,而不是松垮平整的轮廓。既要突出纤细腰线,也要体现贴身短裤对臀胯与腿根的真实包裹感。 腿部搭配白色堆堆袜或软质长袜,袜口与鞋面点缀紫色蝴蝶结。大腿一侧佩戴紫色腿环装饰,腿环需要明显收紧,压在大腿皮肤上,形成较清楚的勒肉感与柔软压痕,腿环上下有自然轻微鼓起的肉感层次,但依旧保持美观、细腻和写实,不要僵硬。脚穿白色与淡紫色搭配的轻甜幻想系鞋子。整体造型甜美、清爽、俏皮,同时具有轻微东方幻想偶像感。 人物姿态为自然站姿或轻微走姿,一条腿微微向前,身体轻轻侧转,双手自然下垂或轻微摆动,整体姿态轻盈灵动,带一点少女偶像式的亲和感。人物全身比例修长匀称,身材纤细但自然,有青春活力感。 去掉原图中的圆环和音符,不要纯平背景装饰,不要漂浮音符,不要几何圆环。背景改为符合人物气质的梦幻东方幻想场景:柔和粉紫与薄荷色调的花园庭院 / 精灵花房 / 樱花与绣球花环绕的幻想回廊。场景中可见白玉栏杆、轻盈花藤、浅色石径、梦幻花丛、漂浮微光、薄雾与远处若隐若现的亭台或玻璃花房结构,整体像一处甜美而精致的东方幻想秘境。背景要明亮、干净、通透,具有轻柔层次与高级空间感,符合角色可爱、温柔、梦幻的气质。 光线采用柔和明亮的高调梦幻布光,面部清晰通透,发丝、肩部、裙摆边缘与袜子褶皱有细腻高光。皮肤、头发、布料、牛仔材质、蝴蝶结、鞋面与幻想配饰都具有真实清晰的 PBR 材质表现。整体色调以浅粉、薄荷绿、淡紫、奶白、浅蓝为主,画面甜美、精致、清新、梦幻,具有高端收藏级 3D CG 东方幻想少女角色海报质感。 high detail 3D CG render, Unreal Engine quality, Octane render look, cinematic soft lighting, PBR materials, subsurface scattering skin, realistic hair strands, pastel fantasy garden background, elegant oriental fantasy vibe, mint green long hair, small horns, elf ears, cute tail, pink cropped hoodie, denim shorts, white leg warmers, purple bows, dreamy atmosphere, volumetric light, cinematic depth of field, soft bloom, ultra detailed, polished anime realism, premium virtual character portrait negative prompt: circle halo, ring background, music note, floating music symbols, flat background, plain pink backdrop, text, watermark, logo, low quality, blurry, bad anatomy, extra fingers, fused fingers, deformed face, stiff pose, plastic skin, cluttered composition

Visual concept

Visual concept

{ "style_rules": { "background": "pale mint-to-warm-grey gradient, subtle paper texture, clean institutional feel", "title": "2 words, ultra-large lowercase black sans-serif (thin weight), stacked — object OVERLAPS and partially obscures letterforms, creating depth", "hero_object": "single impossible 3D object at center — glass/crystal/transparent container housing a miniature impossible scene inside, lit with purple/violet internal glow + floating light particles", "left_column": "vertical stack of 4-5 abstract institutional icons (globe wireframe, concentric ripple, dot matrix grid, holographic gradient swatch) + CATALOGUE NOTES in small mono text + specimen ID + barcode", "right_column": "vertical mm ruler (00-100 scale) + structured data fields: INDEX NOTES with paragraph descriptions, ACCESSION ID, UNIT CLASS, BATCH ID, ARCHIVE REF — all in small mono/serif type with leader lines", "paper_attachment": "one small kraft/cream paper tag or folded card, clipped or tied to object — contains condensed data (transfer number, frequency index, specimen tag)", "bottom_bar": "full-width institutional footer: [globe logo] LUMINOUS ATLAS BUREAU / [DIVISION NAME] / [UNIT NAME] | [mission statement in small caps] | [calibration ID] | [series code] | [issue number] | [barcode]", "color_system": "mint/sage green background + black typography + purple/violet object glow + kraft paper accent", "format": "16:9 horizontal" }, "negative": "colorful background, handwritten style, realistic photograph, no institutional framing, casual layout, emoji or decorative elements", "variables": { "object_name": "[2-word title: seed weather / signal stone / lamp tide / soft transit]", "impossible_object": "[transparent container + impossible interior: glass bell jar with glowing seedlings / crystal radio embedded in amethyst / desk lamp with tidal mist inside shade / clear polymer token containing miniature train station]", "institution_division": "[department name: Seed Library & Future Flora / Signal Cartography Division / Civic Cartography Division]", "specimen_id": "[alphanumeric code: SGH-08 / MR-L7 / TL-07 / QT-A17]", "catalogue_notes": "[4-5 lines of dry archival description: 'pollen activity suspended. growth status provisional. archive for future review.']", "mission_statement": "[institutional motto: 'DOCUMENT. PRESERVE. TRACE. PROTECT TOMORROW'S BIODIVERSITY.' / 'OFFERED TO THE PUBLIC TRUST. DOCUMENT. PRESERVE. REMEMBER.']", "paper_tag_content": "[condensed data on kraft card: transfer number + platform + route]" } }

At a glance

Is this model right for you?

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.

What it does best
A structured image-processing workflow for post-production, intended to produce visual elements that can be edited, moved, or reused separately.
Who it is for
Advertising composites, product-image revisions, reusing illustration elements, breaking down layouts, and assets that need further work in design software.
Why use it on Kyeo AI
Kyeo binds the single-image, true MIME, 30 MB, pixel, and aspect-ratio constraints to the upload signature and validates them again before charging. auto uses a conservative 14-credit preauthorization.

Key facts

Quickly evaluate whether this model fits your business use case.

Model category
AI image layer decomposition
Vendor
ByteDance
Workflow
Single-image layering, separate from standard image to image
File formats
PNG/JPEG
Pixel range
262,144–36,000,000
Aspect ratio
1:16–16:1

Other names

The same model may have different names in official documentation, community discussions, and API integrations. This section brings them together for you.

Seedream Layer Decomposition
Seedream layer separation
Seedream 5 Pro image layering

Common questions

These practical questions focus on the task, input conditions, and result requirements you should confirm before choosing.

how to use Seedream layer decomposition
how to split an image into layers with AI
Seedream Layer Decomposition supported formats
Seedream layer decomposition pixel limits
Seedream layer decomposition 1K 2K pricing
what format are the separated image layers

Decision guide

Still deciding? Start with these key decision points.

1
Choose layer decomposition for editable elements

If people, products, decorations, or backgrounds need separate adjustment, layer decomposition fits post-production better than a standard style redraw.

2
Use a narrower tool for background removal only

If you need only an isolated subject rather than several layers, compare Recraft Remove Background for a simpler workflow.

3
Budget 14 credits for auto

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.

How does layer decomposition differ from standard image editing?
How should I choose between auto and 1K/1.5K/2K?
Can Seedream Layer Decomposition process multiple images at once?

Model comparison table

Not sure which model to choose? Compare the key differences between this model and its alternatives at a glance.

Workflow
Seedream 5.0 Pro Layer Decomposition
Splits one image into a base image and separate layers
Seedream 5.0 Pro
Text generation and multi-image editing
Recraft Remove Background
Removes only the background; does not separate multiple elements
Input count
Seedream 5.0 Pro Layer Decomposition
Exactly 1 image
Seedream 5.0 Pro
Up to 10 images for editing
Seedream 5.0 Lite
Up to 14 images for editing
Output uses
Seedream 5.0 Pro Layer Decomposition
Compositing, local edits, and element reuse
Topaz Image Upscale
Upscaling and clarity enhancement
Recraft Crisp Upscale
Light upscaling and sharpening

Real-world experience

Practical guidance based on public sources, current on-site limits, and representative tasks.

Layer count is not guaranteed

The model identifies elements from the image, but the current contract does not promise a fixed number of layers. Complex occlusion, transparent objects, and fine textures still require manual review.

Layered output is not the original design file

The output contains a model-inferred base image and transparent bitmap layers. It does not recover the source vectors, fonts, masks, blend modes, or application project structure.

Capabilities

Automatic or targeted separation

An empty prompt asks the model to detect prominent elements; a description can focus the task on specified objects.

Location guidance

Normalized bounding-box coordinates can identify a region in the prompt, but the actual separation still needs manual verification.

Multiple tiers with conservative billing

1K/1.5K cost 7 credits and 2K costs 14 credits; auto is preauthorized at 14 credits.

Use cases

Rearranging product images

Separate the product, props, and background, then recombine them in design software for horizontal, vertical, or square ads.

Reusing illustration elements

Extract characters, foreground objects, and decorations for motion work, cover variants, or local revisions.

Layout structure analysis

Break a complex visual into independent bitmap layers to inspect occlusion, without treating the result as the original project file.

Prompt tips

Name the target object first

Describe the object's name, color, location, and relationship to nearby elements to reduce confusion between similar subjects.

Use a bounding box when necessary

For scenes with similar objects, mark the target with normalized 0–1000 coordinates and verify the coordinate order.

Validate structure at 1K

Check layer detection and edges at 1K before deciding whether to process the final asset at 2K.

Why choose it

A dedicated workflow avoids mixing layer controls with standard image-editing parameters.
Six input formats and a 30 MB limit cover a broad range of post-production assets.
Server-signed validation checks both image geometry and true file type.
The output structure is suitable for continued work in design and compositing tools.

What to know first

Each task can process only 1 image.
It does not recover fonts, vectors, masks, or original project information.
The contract does not guarantee layer count, naming, or edge quality.
The actual auto tier is unknown before creation, so it uses the 14-credit upper bound for preauthorization.

Adjustable settings

Quickly evaluate whether this model fits your business use case.

Output tier
Optional
Parameter type: Select
Default: auto
auto
1K
1.5K
2K
Base image format
Optional
Parameter type: Select
Default: JPEG
JPEG
PNG

Credit cost

7–14 credits

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.

Credit-saving tip

Before generating images or videos in bulk, run an A/B test with the same input on this model and similar alternatives. Confirm the result first to avoid wasting credits.

Frequently asked questions

Related models

Still deciding? Take a quick look at these similar alternatives.

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.

AI image model
7–19 credits

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.

AI image model
1 credit per request

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.

AI image model
Conservative 40-credit preauthorization; refund by actual usage

Sources

This page is based on vendor materials, model-family documentation, and Kyeo AI integration settings.

Source note

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.

Last updated: 2026-08-11
Seedream Layer Decomposition current interface notes
Integration

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.