wModel.AI 2.0｜An AI generation platform tailored to your business
World-class technology, applied to enterprise production.
AI that understands your business and keeps evolving.
Finished images and videos, ready to use.
wModel 2.0 is an enterprise AI generation service that understands your brand and quality standards and continually improves its ability to meet your needs. Our proprietary AI platform, developed in-house, learns from experience and improves its own generation, quality review, and refinement processes. With a generation line tailored to your business, we handle everything from image and video generation at scale to delivery of finished assets.
No new tools to learn.
Tell us what you need and how you plan to use it. wModel handles generation, quality review, and refinement, delivering finished images and videos ready to use.
Normally, no product shipping
Generation, quality checks, revisions & delivery
Your existing product photos become images and video, ready to use.
wModel 2.0 combines its 4A capabilities with an in-house technology foundation for product fidelity, consistent identities, quality and safety management, and generation at scale.
Advanced technology. Practical business value.
Turn proprietary AI technology into productive capacity for your business. wModel learns from your requirements and feedback, continually improving its generation, quality review, and refinement processes. A dedicated generation platform supports work at scale and delivers finished images and videos ready to use.
First, explore the finished images and video. Behind them is a system that learns from requirements and feedback and keeps refining how it generates.
Explore a continuous collection of image and video examples across 14 product categories. Jump to a category from the menu or keep scrolling through the page.
AI-model films for colored contacts
See the detail. In motion.
Thirty AI-model films for colored contacts. Explore expressions, gaze and the appearance of each lens in motion.
Early adoption in color contacts. High-resolution AI visuals for our TikTok Shop.
The source case describes SSQQB's own @earthmade_lens shop using wModel.AI images and videos. Its claim of top-tier sales in the color-contact category is dated January 2026 and based on the company's own research.
Brand history, product characteristics, audience and trends inform the visual direction before generation. The case emphasizes lens texture, pattern and color.
Early adoptionThe source case describes early official use of high-resolution AI-model video in the color-contact industry.
Top-tier salesTop-tier color-contact category sales, based on company research as of January 2026.
High-resolution imagery4K, 8K and 10,000–50,000-plus-pixel image output, as described in the source case.
Increased engagementThe source case reports wider reach and increased social engagement for AI-model posts.
Wider distributionCombined with creator videos to introduce products from multiple brands.
Multiple brandsConsistent product visuals across brands in one shop.
PHOTOAI-model images
TikTok Shop
EarthmadeColor contactsSpecialist shop@earthmade_lensVisit the shop ↗
These images and videos were generated by SSQQB for its own shop; they are not official manufacturer assets.
Product names, brands, logos and packaging belong to their respective owners. Their display does not imply endorsement, partnership or sponsorship.
Models are AI-generated, not real people or official manufacturer models. Lens appearance may differ from the actual product.
Source: company press release, PR TIMES, February 2, 2026
AI-model images, video and advertising — wModel.AI 2.0
PICK UP
The same bag, in product and on-model video.
The same men's shoulder bag becomes a product-focused video and an on-model walking video.
Product video: a moving view of the bag's shape and materialOn-model video: wearing the bag while walking
The same lingerie, from product photo to on-model video.
Product photoOn-model video of the same lingerie
03
WORKS
Explore the finished visuals
From product photos to on-model video. See garments worn, moving and in detail.
03-1
AI-model wearing video
From flat-lay and hanger photos to wearing, movement and detail.
On-model images and video
Bring the garment to life.
See it in a photograph. Understand the fit. Feel it in motion.
1Flat-lay product photo
2On-model view
3Video
Images and videos, ready to use.
E-commerce and your website
TikTok, Instagram and social media
Digital ads and banners
Posters
Signage and in-store displays
Corporate brochures
Product catalogs and booklets
Flyers and print materials
Film sample 01
A complete look, from top to bottom.
Product photo
Product photo → On-model view → Movement → Detail
Film sample 02
A morning in a suit.
Product photo
Product photo → On-model view → Movement → Detail
Film sample 03
One T-shirt, through the seasons.
Product photo
Product photo → On-model view → Movement → Detail
Film sample 04
One pair of trousers, three settings.
Product photo
Product photo → On-model view → Movement → Detail
Film sample 05
From a single thread to the feel of a garment.
Product photo
Product photo → On-model view → Movement → Detail
Find examples for products like yours.
04
CATEGORY
Examples by product category
Fourteen categories, from apparel, bags, hats and shoes to pet products and cosmetics. Explore examples and discuss your project.
04-01LADIES
WomenswearAI-model wearing images
View examples15 images · 3 videos
AI womenswear models
The same trench coat in motionVertical womenswear video for mobile and social media
Womenswear
More womenswear examples (12)Earlier comparison examples
A shirt detail and full outfit together, preserving buttons, collar construction and fabric.
Pet clothing on-model videoVertical pet-clothing video for mobile and social mediaPet clothing on-model videoPet-food video
A Shiba Inu wearing a collar, shown full-length and close-up without arranging a dog-model shoot.
A cat bandana shown with natural fur and product scale.
A toy poodle in pet clothing, in a living-room scene composed to the brief.
Vary the angle and setting of the same pet garment to build a product-page image set.
More pet-product examples (28)
AI-model pet-product visuals
Create from your product images and supplied pet photographs
Pet products
Show animal models using cat houses, dog beds, toys, bird boxes and other pet products. We can also work from a photograph of a specified pet, making the product's size and use easier to picture.
Pet accessories
Create images of AI dogs and cats wearing collars, leads, harnesses and pet clothing. Realistic on-animal views help communicate fit, scale and the wearing experience.
Pet food
Present dog food, cat food and treats in appealing feeding scenes, from large dogs to cats, birds and guinea pigs. Go beyond the package image to show enjoyment and build a reassuring brand impression.
Beauty and cosmetics videoBeauty and cosmetics video: extended versionBeauty and cosmetics video: short versionSkincare application videoCream application videoSkincare routine video: test version
Product advertising visuals
Turn one cosmetics or skincare product image into an advertising visual with an AI model holding the product. Lighting and skin texture are finished for a photographic look, creating brand-led key visuals for website heroes, online stores and banner ads.
Product-use scenes
Show cream being worked into the skin or a drop of serum being applied. AI-model usage scenes make texture and application easy to understand and give product pages a more convincing demonstration.
Everyday lifestyle imagery
Create natural lifestyle scenes at a morning dressing table or beside a window. Build a consistent set of everyday images for social media and product pages.
Social promotional video on a rooftop terraceSocial promotional video on a café street
A product image and a photograph of you—or an AI-generated model—can become a promotional image showing the product in use. A surfboard photo and a portrait, for example, can become a scene of you riding a wave.
Social-ready on-model imagery
Show yourself or an AI model wearing your clothing and bags. Café terraces, city streets and other engaging settings help create social posts with an influencer-style presentation.
Sport and active scenes
Capture energetic sports scenes such as surfing and running. A well-chosen action moment helps communicate the functionality of sporting goods and outdoor equipment.
World destinations as your backdrop
Set the scene at the pyramids, a tropical beach or a snowy mountain. Create travel and outdoor product visuals featuring you or an AI model at destinations around the world, without arranging an overseas shoot.
Ultra-high resolution. Detail you can inspect up close.
Beyond 2K, 4K and 8K, generate images at 10,000, 20,000 and 30,000 pixels. Explore skin, hair, stitching and material detail, with image data prepared around the intended placement and output size.
2K4K8K10,000px20,000px30,000px
Image width, height, file format and output use define the required specifications. Video resolution, frame rate, duration and aspect ratio are specified separately.
Large-format print applications
Transit walls and exhibition signage, with detail made to stand up to closer viewing.
The larger the print, the more visible the flaws. We prepare image files at 4K, 8K and up to 30K-class resolution to suit the use and output size, including files ready for outdoor and large-format print production.
Outdoor advertising
Transit advertising
Exhibition panels and signage
Large-format posters
Catalog and brochure covers
Large-format publications
AB6,784 × 10,112 pxOver 10,000 pixels on the long edge; displayed reduced here
ASkin around the nose: 100% viewBCoat weave: 100% view
This is a section cropped from the source at actual size, showing skin texture, fine facial hair and individual wool fibers.
Multimedia delivery. Bring the brand to every placement.
Product images for online stores and social media, on-model visuals, packaging, catalogs, brochures, posters, website films, short-form video, social video and longer advertising films: your company's wTransformer supports the full range. Coordinate stills, print-oriented work and moving images through one service.
From websites and social channels to catalogs, publications, packaging, large-format posters, outdoor advertising and campaign films. Shared product and brand standards guide finished assets prepared for the expression and specifications of each channel.
Websites and social channelsProduct catalogs and brochuresPublicationsPackagingLarge-format posters and printOutdoor advertisingProduct and campaign films
People, color, materials and visual direction. Keep the brand expression consistent as the channel changes.
01E-commerce images Social-media imagesImages
02Product Model imageryImages
03PackagingPrint materials
04Catalogs BrochuresPrint materials
05PostersPrint materials
06Website video Short-form and social videoVideo
07Advertising Long-form videoVideo
ImagesPrint materialsVideo
E-commerce hero image
E-commerce supporting image
On-model view
Color variants
Social portrait format: 4:5New-product posts with the same model and tone as the online store.
Social square format: 1:1Export marketplace and social formats from the same image.
E-commerce and social media images
E-commerce and social-media images
Produce hero images, supporting views, color variants and on-model shots to consistent standards, adapted to marketplace rules and social-media aspect ratios.
MENLADIES
On-model images
On-model product images
Show your products worn or used by a model suited to your brand. Keep a company-specific model consistent across age, mood and appearance requirements.
SKIN CARE
Your brand
Packaging
Packaging
Packaging visuals for boxes, labels and sleeves. Shared models and color standards align the impression on the shelf and online.
AUTUMN / WINTER
COLLECTIONAutumn and winter, softly worn.
Bring a season's entire product range together in one catalog, with the same model and visual world.
Catalogs and brochures
Catalogs and brochures
Seasonal catalogs, product brochures and sales materials, built from your product data and images.
WINTER COLLECTIONWear the light.NEW ARRIVAL
Posters
Posters
Create the face of a campaign for stores, events and transit locations, with resolution appropriate for large-format printing.
Short-form videoSocial videoVertical website video
Website, short-form and social video
Website, short-form and social video
Product-page films, vertical short-form videos and social videos, featuring the same models as your still imagery.
OpeningProduct revealIn useDetailClosing
Long-form advertising video
Longer advertising films
Brand films and longer advertising videos, with scenes shaped into a complete piece from structure through finishing.
Product catalog
One catalog, one model, consistent specifications.
From seasonal fashion catalogs to uniform and workwear brochures, keep models, lighting and color consistent throughout the book, with compositions planned for facing-page layouts.
Apparel catalog ExampleKeep faces and products away from the binding gutter
NAVY
12345
CHARCOALKHAKI
1Embroidered chest mark
2Reflective strips: chest, sleeves and hem
3Sleeve pen holder
4Front zip and snaps
5Knee panel seam
Three colors, the same constructionExample
Common issueWith wModel
Color variants: changing the color can accidentally change buttons, stitching and pocket shapes.
→
Change the color while keeping the product details consistent across the full range.
Models: faces change from page to page, breaking the consistency of the catalog.
→
Use the same brand-exclusive model throughout the catalog.
Facing pages: a face or product falls into the gutter and disappears after binding.
→
Plan the composition for a two-page spread, keeping important content clear of the gutter.
Workwear: reflective strips change position or number, and embroidered chest marks become distorted.
→
Check reflective strips, embroidery, pockets and pen holders against the product specification.
Size ranges: different sizes can produce unnatural proportions in garment length and width.
→
Develop wearing views that follow the proportions in the size chart.
Why wModel
Spend your time using finished assets.
wModel combines a dedicated AI generation platform with quality review, handling everything from understanding your requirements to delivering finished assets.
What matters
Operating generation tools in-house
wModel
How you work
Operate the tools and select the outputs
Share your requirements and receive reviewed, finished assets
Fit for your business
Configure the tools and build your own workflow
Generation and review tailored to your brand and quality standards
Quality review
Manage output review and revisions internally
AI checks product shape, colors, logos and text, plus hands and anatomy. Revisions and staff review before delivery.
Scale
Expand according to your tools and operating capacity
From one trial image to hundreds, with parallel generation across products and projects.
From one trial image to ongoing generation at scale.Start with a single image or run ongoing projects across multiple products in parallel. Your generation workflow is tailored to your business requirements.
How wModel sees AI progress
An AI service that keeps learning, improves its own process and delivers finished work.
The measure of AI is how much of the finished result you can entrust to it.
From operating tools to entrusting AI with the finished work.
SaaS made software available as an ongoing service. wModel 2.0 advances what customers can entrust to AI: the work through to finished delivery. In a tool-based workflow, people learn controls, adjust inputs, select outputs and repeat revisions. We bring more of that understanding, judgment and iteration into the AI generation system, connecting the brief to ready-to-use work.
Express the outcome you want.
What should the result show, what is it for, and how should it look? AI interprets that intent alongside the company's product information and brand standards. It generates, checks its output, revises and generates again toward images and video ready for real use. Learning a complicated interface, mastering prompts and trying again until something works should not become the customer's job. We connect the request and the finished result in one service.
An enterprise technology foundation for finished delivery.
wModel.AI connects the 4A AI Engine with wTransformer, toBeReal, Clearium and wBoard. Your dedicated generation line joins requirement understanding, generation, AI inspection, correction and regeneration, with final staff review and your approval of the result before delivery. Normally, no physical product shipping is required. Existing product photos become finished assets for web, social media, catalogs, publications, large-format and outdoor advertising, and video.
Learn from requirements. Refine understanding and the trans.
AI keeps learning from requirements, feedback on the result and the reasons for revisions. Independent persistent memory carries that learning beyond a single project and supports understanding of the next brief. Generation and quality-review results also inform improvements to wTransformer’s trans: units combining generation procedures, rules and review criteria. Evaluate the result and feed learning back into understanding and execution—a recursive improvement cycle that develops both persistent memory and the generation workflow.
Scale up while becoming a better fit for your company.
A shared AI foundation and dedicated enterprise generation lines support expansion across products, shots and media, guided by company standards. Learning from requirements and feedback informs the next brief and the next generation workflow. wModel delivers finished assets while refining the quality and execution behind them: an AI generation service designed to evolve with the enterprise.
Progress changes which parts of the work people have to do.
From hand cranking to electric starting.
The work people supplied
Stand in front of the car and turn the crank by hand.
→
The work technology took on
Operate the starter; an electric motor turns the engine.
The system took on the physical effort supplied by the driver. Cadillac adopted electric self-starting in 1912.
From planning a route to specifying a destination.
The work people supplied
Read a paper map and work out the route yourself.
→
The work technology took on
Enter a destination. Navigation calculates a route and adapts its guidance to traffic conditions.
People choose where to go. Navigation handles route calculation and updates as conditions change.
With wModel, the starting point is the result you want. AI and the generation foundation take on the iteration between that request and finished delivery.
Describe the result. Entrust us with the work to get there.
No complex interface, tool training or prompt craft to master. Start with product photos and your requirements. AI interprets the intent, generates, checks and revises. We carry the process through to finished delivery, including the repeated attempts it takes to get there.
Ship-to-studio photography
Send the product. Arrange the shoot.
Products go to a studio for photography, followed by a review of the resulting images.
Self-service AI tools
Generate, select and check it yourself.
Upload photos, write instructions and adjust settings. You select the outputs and check their quality.
wModel.AI
Send photos. Receive finished assets.
Normally, no product shipping. Your dedicated AI generation line connects generation, AI inspection, staff review and revisions, delivering finished assets for your intended use.
Learn from requirements. Evolve the generation workflow.
Memory and improvement
Learn from your requirements. Refine how the work gets done.
wModel 2.0 is an enterprise AI generation service connecting the result you request with finished work you can use. It learns continuously from requirements and feedback, deepens its understanding of your business, and improves its own generation, quality-review and revision process. The service carries the work through to delivery.
01Understand the brief
02Retrieve company knowledge and standards
03Generate
04Review quality and revise
05Final approval
06Deliver finished assets
01
Continuous learning: carry learning into the next brief.
Learn from requirements, feedback on finished work and the reasons for revisions, then carry that understanding into the next project. Independent persistent memory supports continuity across conversations and helps distinguish what should stay from what should change.
Confirm product information and requirements
Record approval and revision reasons
Retain memory across conversations
Retrieve relevant context for the next brief
Apply it to understanding and generation
02
Self-improvement: refine the generation process itself.
Compare outputs with the required standards. Identify where differences arose and which revisions worked. Refine generation, review and revision procedures, compare the results using the same quality criteria, and carry verified improvements into the next generation workflow (trans).
Compare results with quality standards
Identify discrepancies and revision reasons
Refine generation, review and revision procedures
Compare results using the same criteria
Carry verified improvements into the next generation workflow
Within each project, generation, verification and revision move the work toward completion. Across projects, requirements and feedback inform persistent memory and execution procedures. Learning from results feeds back into the next brief and generation workflow, refining the company’s dedicated AI generation capability.
01
Ultra-high resolution and fine detail
Images from 2K, 4K and 8K to 10,000, 20,000 and 30,000px, with close attention to skin, hair and materials.
Dedicated company cloudwTransformerShared brand, rules and models
E-commerce images
Social-media images
On-model product images
Packaging
Catalogs and brochures
Posters
Website video
Short-form video
Social video
Longer advertising films
Diagram text
E-commerce and social images
Model imagery
Packaging
Catalogs
Posters
Website, short-form and social video
Longer advertising films
Company-specific
wTransformer
Brand, rules and models
managed together
Unified information
Different media. A consistent brand.
Stills, print-oriented visuals and video share the same wTransformer. Brand rules, approved references and your models carry across media, keeping online-store images, posters and films visually aligned.
AI production, AI inspection and staff review
Produced with AI. Checked with AI and staff.
Image and video AI engines handle production. An AI inspection engine checks the work against each medium's criteria, followed by a final review by dedicated staff.
Unified project tracking
One wBoard for progress across media.
Images, packaging, catalogs and videos appear on the same board, so you can see progress across media in one place.
07 / 12
Technology, quality & governance
Deliver images and videos at scale while retaining product character and brand standards. AI and a dedicated company production environment support generation, quality checks and project management.
wModel.AI / 4A AI Engine
Technology for the range of expression—and the work of finishing it.
4A supports a wide range of products and visual possibilities. A dedicated generation system executes that work against company standards, reviews quality and records decisions. wModel 2.0 connects these capabilities into the path to a finished asset.
AI generation technology developed in Osaka.
wModel and its supporting technologies—wTransformer, Clearium and toBeReal—are researched and developed in-house at our Osaka headquarters.
World-class technology, applied to enterprise production.
Web-based 3D engines
E-commerce systems
AI security
Long-term AI memory
Recursive self-improvement (RSI)
Our company and its affiliates pursue R&D in web-based 3D engines, e-commerce systems, AI security, long-term AI memory and recursive self-improvement (RSI). We put that expertise to work on real business needs. wModel applies advanced technology to generation, quality review and continuous improvement, addressing production challenges faced by businesses and industries.
Customers rely on product images when deciding what to buy. wTransformer checks dimensions, outlines, color, logo placement, text and materials against source information. The aim is faithful product information, including details small enough to affect purchase confidence and returns.
Color contact lenses
Lens diameter and graphic boundaries — example
With colored contact lenses, the overall diameter (DIA) and graphic diameter determine how large the lens appears on the eye. Wearing visuals are checked against dimensional proportions, edge thickness and pattern density.
Garment measurements against the size chart — example
A garment that looks too short or too narrow can cause a return. Check the marked measurement points in the size chart—back neck to hem, underarm to underarm, shoulder to shoulder and shoulder to cuff—and their proportions on the model.
Diagram text
Shoulder width: 46 cm
Body width: 52 cm
Garment length: 118 cm
Sleeve length: 58 cm
Size M: example
Garment lengthBack neckline to hemBody widthUnderarm to underarmShoulder widthShoulder point to shoulder pointSleeve lengthShoulder point to cuff
Logos, patterns and color
Logo position and color difference, measured — example
Logo placement, print size and subtle brand-color changes matter. The inspection design measures logos and prints against reference lines and compares color with the source using ΔE, with tolerances set to the company's criteria.
Diagram text
LOGO
10cm
18cm
Original product
Generation
Color difference ΔE: within tolerance
Print position: example
Logo positionFrom the reference lineSizeAspect ratioColorColor difference ΔEPatternRepeat and direction
Label text and texture
Text, character by character. Materials, stitch by stitch.
A single distorted character in a product name, ingredient list, item number or size label can make an image unusable. Check text against the source, together with knit structure, weave direction, leather grain and metallic finish.
Diagram text
MOIST CREAM
Moisturizing cream, 50 g
Item A-2410
Ingredients: water, glycerin,
squalane, jojoba seed oil…
Match
Compare source labeling character by character
Knit structure, weave and sheen
Label and texture: example
Product name and item numberIngredients and labelingSize labelingKnit structure and weaveSheen and leather grain
AI inspection engine
Check every cut against the source before moving on.
Compare each generated cut with the original product materials. If an item fails a check, return it with an explanation of the difference. Only passing work proceeds to the final staff review.
Outline and silhouetteCompare with the original product
Dimensional proportionsCompare with the size chart
Logo and print positionFrom the reference line
ColorColor difference ΔE
Displayed textCharacter by character
Material textureKnit structure and sheen
Hardware and accessoriesShape and count
Model identity consistencyFace and body shape
Material, stitching and consistency
Fabric and construction detail
Suit patterns, seam stitching and button counts are often more troublesome than the face in AI-model imagery. Product details must still look right when enlarged. wModel focuses on the original fabric structure and construction details.
Linen becomes smooth like synthetic cloth, losing the irregular thickness of its threads.
1Chest weave
Source image
wMODEL
2Rolled-up sleeve
Source image
wMODEL
Source imageCommon AI-image issueGenerated resultwMODELVinyl-like shine → Shadows shaped by the pile
⟷
Velvet: shadows shaped by the pile
Changes in pile direction disappear, leaving a vinyl-like shine.
1Collar pile
Source image
wMODEL
2Around the pocket
Source image
wMODEL
The same product, three angles
Front, three-quarter and rear: the same garment at every angle.
Three buttons become two from another angle, or a pocket appears where none exists. These errors stand out across image sets and in motion. Keep herringbone direction, button counts and positions, and pocket shapes consistent across every cut.
Shirt collars, skirt pleats, knit stitches and bag hardware each have different failure points.
Button-down collars
Common issue: collar-tip buttons disappear, or the two sides of the collar do not match.
wModel checks collar-tip buttons, collar-stand height and left–right shape.
Tie patterns
Common issue: diagonal stripes reverse direction, or the pattern breaks at the knot.
wModel checks stripe direction, width and color sequence against the original product.
Pleated skirts
Common issue: pleat widths become uneven, or pleats dissolve in a walking shot.
wModel keeps pleat widths and folds consistent in shots with movement.
Cable knitting
Common issue: cable-knit crossings do not connect, or the pattern order changes.
wModel checks the direction of cable crossings and the sequence of the knit pattern.
Embroidery and lace
Common issue: openwork becomes a different pattern, or the scalloped edge disappears.
wModel compares openwork shapes and edging with the original product.
Small floral prints
Common issue: a pattern becomes too large or small, or collapses at the placket.
wModel keeps pattern scale, density and color count aligned with the source.
Down jackets
Common issue: quilted rows change in number, or the zip moves.
wModel checks quilted rows and the positions of zips and stitching.
Leather bags
Common issue: extra handle fittings appear, or leather grain becomes flat and vinyl-like.
wModel reproduces the hardware count, stitching and leather-grain texture.
Common issueWith wModel
Pattern: checks and stripes become wavy or fail to align across seams.
→
Compare pattern spacing, direction and continuity with the original product.
Stitching: topstitching or double rows disappear or become uneven.
→
Preserve stitch-row count, width and spacing.
Buttons: three become two, or their size and number of holes change.
→
Check button count, position and holes.
Hardware: zips, buttons and rivets become distorted or multiply.
→
Check the shapes and counts of hardware and accessories.
Pockets: shapes change, or a rear view gains pockets or embroidery that do not exist.
→
Keep the construction faithful to the original from the front, side and back.
Material: knit stitches become a flat pattern; silk and velvet look plastic; fine weaving disappears.
→
Distinguish knit structure, weave and sheen according to the material.
Creases and drape: excessive smoothing leaves the fabric unnaturally flat.
→
Retain creases and drape appropriate to the fabric's weight.
Logos: a chest logo melts into almost-readable lettering.
→
Check the shape, orientation and position of logos and prints against the product.
Consistency: front and back colors differ, or each cut appears to show a different product.
→
Keep still images and video consistent as the same garment.
Natural texture with toBeReal
In-house toBeReal technology
A finishing process for more natural-looking people.
Over-smoothed skin, artificial lighting and awkward fingers make AI imagery feel unnatural. Our in-house toBeReal process refines skin texture and photographic rendering while preserving the person, pose and product. Move the comparison slider to inspect the difference.
Restore wool fibers, the relief of cable knitting and surface fuzz so the fabric's material is visible.
1Cable knitting and wool fibers
Source image
toBeReal
2Skin and expression
Source image
toBeReal
Drag across the image to compare Before and After.
Skin
Skin texture
Preserve pores, fine texture, facial hair and slight tonal variation, avoiding an excessively uniform, over-processed skin surface.
LIGHT & LENS
Light and lens rendering
Align light direction, shadow softness and background blur with a coherent photographic treatment.
Hands
Hands and fingers
Check fingers, joints, nails and how a hand holds an object—areas where AI imagery often fails.
Hair
Individual hair strands
Keep natural variation in hair ends, highlights and flyaways rather than a single solid mass.
Fabric
Fabric creases and drape
Match creases to body movement and drape to fabric weight, preserving details that shape the product's impression.
Gaze
Gaze and expression
Aim for focused eyes, natural catchlights and a believable expression.
Natural finish
A natural finish, without overcorrection
An attractive finish should still feel human. Avoid an over-corrected, uncanny appearance and preserve the person's character. AI inspection and staff review both consider whether an artificial look remains.
toBeReal is wModel's in-house finishing technology. It brings texture and rendering closer to photography while retaining the person, pose and product.
Clearium | Developed in-house
Clearium | AI likeness-rights risk detection
AI Public-Figure Likeness Check
An in-house AI system for detecting likeness-rights risks, covering 100,000+ public figures
Our proprietary AI detection technology analyzes similarities between people in AI-generated images and real public figures from multiple perspectives.
It detects potential risks relating to public figures’ likeness and publicity rights, supporting safe, confident use of AI in commercial content across advertising, e-commerce, social media, and more.
If a resemblance is raised after publication
Replacement and campaign suspension Press response
Media spend, printing, production and time spent rebuilding a campaign can all be affected, along with brand trust.
VS
With Clearium comparison before publication
Approximately 0.3 secondsper image
Compare generated faces with public-figure references during production and flag similar faces before delivery.
Two tests, with two distinct purposes.
The first checks whether photos of known public figures return the correct identity. The second measures how generated images are classified for further action. We present these internal test results separately.
October 2026 internal test | Image counts, two results
Identifying public-figure images. Routing AI-generated images for further action.
Public-figure image identification40 images of real public figures
Correct person matched: 39 imagesNot detected: 1 image
No additional action: 94 imagesReview: 6 imagesRegeneration: 3 images
39/40 imagesOf 40 public-figure images, 39 matched the correct person. One was not detected.
94/103 images94 generated images were routed without additional action: 79 with low scores and 15 with no returned match.
9/103 imagesSix images required review and three were routed to regeneration, according to the comparison result.
The upper test checks whether photographs of public figures return the correct identity. The lower test determines which generated images need further review or regeneration. These are two different checks.
Test images and classification criteria
Internal tests conducted in October 2026. Of 40 photos of real public figures, 39 returned the correct identity and one was not detected. The 39/40 figure measures correct identity returns. A separate count found scores of 99 or higher in 38/40 images. The 103 generated images were classified as 94 requiring no additional action, six requiring review, and three requiring regeneration. The 94 comprise 79 with scores below 95 and 15 with no returned match. Scores from 95 to below 97 were assigned to review, and scores of 97 or higher to regeneration. No generated image scored 99 or higher: 0/103. The 103 images include before-and-after toBeReal examples and four images of hands without a face; they are not 103 distinct people. The score is not a percentage of facial similarity.
From checks to action and records.
Results determine whether an image proceeds to staff review or face regeneration. Regenerated images are checked again, and the results and actions taken are recorded as part of the delivery workflow.
RISK 01
Rights-related claims
Even an accidental resemblance can lead to image-rights or publicity-rights claims and inquiries from a person's representatives.
Clearium
The source workflow checks faces against 100,000+ public figures before delivery. A same-person match is not used and is sent for regeneration.
RISK 02
Replacing assets after publication
Waiting until someone points out a resemblance can waste advertising, printing and production costs, as well as time.
Clearium
Flag concerns internally before publication. Staff review faces marked Review before the work is delivered.
RISK 03
Publicity and accountability
Adverse publicity can affect brand confidence and, for listed companies, market perception. Internal approval and later explanations need a record of the checks performed.
Clearium
Keep a comparison record for each image, supporting internal approvals and any later explanation.
Diagram text
Generated AI model
Public-figure comparison
Compare against 100,000+ public figures
No similarity flag
Proceed to delivery
Similarity flagged: regenerate
Create a different face and compare again
Staff review
Final check
Scroll the chart horizontally.
Check during generation.Likeness checks are part of image generation. Images flagged for regeneration are generated again and rechecked, with staff review and records completing the delivery workflow.
Production engine→AI inspection engine and Clearium→Staff review→Delivery
STEP 1GenerationThe production engine generates a person
STEP 2Compare Approximately 0.3 secondsCompare with public figures and classify into three levels
ClearRetain the record and continue
ReviewStaff review
MatchRegenerate the face and check again
STEP 4DeliverDeliver with the comparison record
The displayed comparison time is the median of 128 internal test runs in the source page, adding little relative to image-generation time.
Clear
Deliver the checked result
Clear results are available for the intended uses shown in the service.
Review
Deliver after staff review
Regeneration is recommended for advertising and key visuals when a result needs review.
Match
Regenerate automatically
A result in the regeneration category calls for a new face and another check. The new result determines the next action.
Advertising projects can be configured to regenerate Review results as well. Discuss the setting with us.
Comparison results
Generated models and their comparison results
These 16 examples are drawn from the 103 generated images checked in the internal test: 15 required no additional action and one required review. Each badge shows that image's actual classification. The names of returned public-figure matches are not displayed.
ClearDeliver the checked resultClearDeliver the checked resultClearDeliver the checked resultClearDeliver the checked resultClearDeliver the checked resultClearDeliver the checked resultClearDeliver the checked resultClearDeliver the checked resultClearDeliver the checked resultReviewDeliver after staff reviewClosest reference: Japanese actorClearDeliver the checked resultClearDeliver the checked resultClearDeliver the checked resultClearDeliver the checked resultClearDeliver the checked resultClearDeliver the checked result
A different face, checked again.
Automatic regeneration
A different face, checked again.
In an internal test, faces were regenerated and checked again across seven image pairs flagged for review or regeneration. Six fell below a score of 95 after one regeneration. The examples shown come from that test. Regenerated images are checked again to determine the next action.
Before regeneration | ReviewAfter regeneration and recheck | No further action
Before regeneration | ReviewAfter regeneration and recheck | No further action
Before regeneration | ReviewAfter regeneration and recheck | No further action
Internal test examples showing face regeneration followed by another likeness check.
100,000+
A comparison set covering 100,000+ public figures worldwide.
The comparison set covers actors, entertainers, musicians, athletes, politicians, executives and international public figures. The comparison set covers 100,000+ public figures, exceeding the roughly 11,000 people in a representative Japanese talent directory.
Actors and entertainersSingers and artistsModelPresenters and hostsAthletesPoliticiansBusiness leadersInternational celebrities
Public-figure photo identification: results by region
The correct identity was returned for 24/25 images from Japan, 10/10 from Europe and North America, and 5/5 from China and South Korea: 39/40 in total. These groups describe the subjects of the test photos, not the number of people in the full reference collection or a pass rate for generated images.
Japan24/25 images
Identification tested on 25 photos of public figures from Japan.
Europe and North America10/10 images
Identification tested on 10 photos of public figures from Europe and North America.
China and Korea5/5 images
Identification tested on five photos of public figures from China and South Korea.
The correct identity was returned for 24/25 images from Japan, 10/10 from Europe and North America, and 5/5 from China and South Korea: 39/40 in total. These groups describe the subjects of the test photos, not the number of people in the full reference collection or a pass rate for generated images.
View the detailed internal test results
October 2026 internal testApproximately 0.3 seconds per image
39/40
Recognition of real public figures in the source test
Japan: 24 of 25 images; Europe and North America: 10 of 10; China and Korea: 5 of 5. The intended public-figure face was matched to the correct name in 39 images. This identity-recognition count is separate from the count scoring 99 or higher.
25/25
Comparison after common image edits
Five people, each with five image transformations—crop, 256-pixel downsize, blur, color change and heavy compression—all returned Match.
100,000+
Domestic and international public-figure references
From actors, entertainers, artists and athletes to public figures in politics and business.
Of 103 wModel-generated images, 94 required no additional action, 6 required review and 3 were routed to regeneration. The 94 comprise 79 low-score images and 15 with no returned match. These are post-comparison action categories counted by image, not a test of 103 distinct models.
Ask us about individual people not in the comparison set, such as newly represented talent.
Checks after image transformations
After cropping, resizing and blurring.
Advertising images are cropped, resized and recolored. In the source internal test, photographs of five real public figures underwent five transformations; all 25 transformed images returned Match.
25/25Match after image edits
Original imageCropDownsize to 256 pxBlurRecolorHeavy compression
The chart illustrates those transformations using a wModel-generated person.
Comparison record
A comparison record for every image.
Record when an image was compared, the result, the action taken and who reviewed it. The delivered work includes comparison records for internal approval and quality review.
Comparison recordSample
Comparison date and time
2026-10-11 15:42
Elapsed time
0.44 seconds
Result
Review
Closest reference
Japanese actor
Action
Deliver after staff review
Staff review
Enter reviewer, time and findings
Status
Compared; record retained
Comparison record
Image-level comparison records
Image-level records show what was checked and how it was classified. They support internal approval, quality review and documentation under the company's AI-governance rules, including rules informed by Japan's AI Guidelines for Business.
Your talent and exclusive models
Client-supplied talent and exclusive models retain their identity
For images based on a person's photograph supplied by the client, record the comparison result without automatically replacing the face.
Check every image
Every cut, every time
Match results return to regeneration and another comparison. Staff review Review results before approved work is delivered.
Clearium: frequently asked questions
A. Clearium first classifies generated people as Match, Review or Clear. Match faces are regenerated; Review faces receive a staff check before delivery.
A. For images based on the client's own supplied portrait, we retain the comparison record without regenerating the face automatically.
Accidental resemblance to a real person can occur. wModel includes Clearium comparison in the generation and delivery workflow, routing results to regeneration or staff review as needed. Comparison results and the action taken are recorded as part of the checks before delivery.
A. We recommend regeneration for Review images. Advertising projects can be configured to regenerate these results automatically; discuss your requirements with us.
Depending on the result, images proceed to regeneration or staff review. We deliver the finished assets with records of the checks and actions taken.
A. Yes. In the source test, all 25 images subjected to cropping, resizing, blurring, recoloring or heavy compression returned Match.
A. Yes. Each image retains its comparison time, result, action and staff-review record for internal approval and quality review.
A. Please discuss the individual case with us.
Industry quality standards
Industry conventions in your company's Transformer.
Every industry has conventions: tie length for suits, measurement positions for apparel, appetizing presentation for food, or marketplace image requirements. wTransformer combines these conventions with your company's internal rules and quality criteria.
wTransformer ≠ AI model's Transformer
Requirements and feedback inform future generation conditions and quality criteria. As product ranges and use cases grow, your standards remain part of the process and quality is continuously refined. Progress and version differences are shared through wBoard, and finished work is delivered after your review.
Suits and businesswear
Suits and businesswear
Tie tip at the center of the belt buckle
Shirt cuff showing 1–1.5 cm beyond the jacket
Fasten only the upper button of a two-button jacket
Apparel e-commerce
Apparel e-commerce
Measure length, body width, shoulders and sleeves at defined points
Smooth flat lays to show the product shape
Show length in both flat-lay and worn views
Color contact lenses
Colored contact lenses
Align DIA, graphic diameter and BC labeling with the visual
Preserve edge thickness and pattern density
Show color beside a bare-eye comparison
Cosmetics
Cosmetics and skincare
Present before/after or effect-related images according to the applicable Japanese product and advertising requirements
Keep texture and color faithful to the product
Food
Food
Appetite appeal through steam, shine and droplets
Side-backlighting for dimension and texture
Keep quantity and serving faithful to the actual product
Jewelry
Jewelry
Clear outlines on a white background
Control reflections on metal and stones
Wearing views for scale, close-ups for detail
Furniture
Furniture and interiors
State width, depth and height
Show scale in a usage scene
Close views of wood grain, cloth and materials
Marketplaces
Amazon and Rakuten Ichiba
Source example: Amazon hero image, pure white background, product at least 85% of the image, no text
Source example: Rakuten Ichiba, text at most 20% of the image, no border
Your company's Transformer ● LIVE
Diagram text
LAYER 1
Industry conventions
LAYER 2
Your company's rules and quality criteria
LAYER 3
Project-specific instructions
AI production → AI inspection
IndustryTie to buckle center; cuff visible 1–1.5 cm
Your companyExample: bright natural lighting; logo readable from the front
Your companyExample: match the launch season; exclude competitor-associated props
ProjectExample: autumn/winter catalog, 12 navy suits, portrait and landscape
Diagram text
Buckle center
Tie blade tip
Within the standard
Quality rules in action
Tie length to the center of the belt buckle.
A suit image may need the tie tip at the center of the belt buckle. Such presentation rules become inspection criteria in wTransformer, alongside the company's own requirements, so each cut can be checked against them.
Dedicated production environment: wTransformer
A dedicated production cloud for each company.
wTransformer is an enterprise AI foundation that incorporates your brand rules, product requirements, industry quality standards, and review and approval process. Multiple Transformers with different roles are combined into a dedicated generation line, connecting generation, comparison, revisions and review.
Diagram text
Product images and requirements
Email
Requirements, revisions and approvals
Product images
Flat lays and existing shots
Brand materials
Guidelines and item numbers
wBoard reply
Review and comments
wTransformer: company-specific cloud
Knowledge layer: company context
Brand rules
Approved references
Product master data
Decision history
AI engine cluster: production
Analysis
Composition planning
Generation
Consistency checks
Finishing
1. AI inspection
Compare every cut against the original product
Shape, color, logos, text, fit and hands
Pass →
Return to engine
2. Final staff review
Dedicated staff make the final review
Brand impression, commercial use and requirements
Approved →
Delivery
Export for the use; remove metadata
Share in wBoard, then notify
Generated results
E-commerce product page
Hero, supporting and color-variant views
Social media and advertising
Portrait and square
Catalogs
Whole-season production
Video
Product introduction film
Conceptual wTransformer architecture: company data stays within its dedicated environment.Scroll horizontally
Learning from requirements and feedback
Retain decisions for the next project.
Requests such as a slightly darker color or keeping a model’s hair down help the AI learn the intended expression. Feedback on revisions informs future projects, reducing the need to explain the same requirements from the beginning.
Brand guidelines
Brand rules
Color, tone and brightness criteria
Crop, spacing and composition
Excluded expressions and moods
Approved references
Approved references
Previously approved cuts
Model type and perceived age
Background and prop direction
Product master data
Product master data
Item numbers, colors and sizes
Materials, patterns and logo positions
Season and category
Publishing channels
Delivery specifications
Marketplace image requirements
Social and advertising aspect ratios
File naming and export format
Review history
Decision history
Match lens color to the skin toneStaff record
Frame knitwear close enough to show the fibersClient instruction
Off-white background with reduced blue castApply to future projects
Parallel AI engines
A coordinated production line, beyond one image at a time.
Analysis, composition, generation, consistency checks and finishing are organized as production stages. Multiple cuts, colors, angles and uses can proceed in parallel under the same criteria, supporting larger seasonal commissions.
Revisions focus on the requested area, with the rest of the approved image kept consistent.
Generated images do not go straight to delivery. An AI inspection engine checks every cut against the product for shape, color, logos, text, fit, anatomy and brand rules. Work below the standard returns to production with reasons; dedicated staff review the work that passes before approving delivery.
AI productionGenerationAI engine
AI inspectionAI inspectionAI inspection engine
Staff reviewFinal reviewDedicated staff
DeliveryDeliveryFinished work, ready to use
AI check failed: return to production with reasonsFinal review held: regenerate with revision instructions
Passed both review stages
AI check: hardware shape
1. AI inspection against the original product
Shape, silhouette and pattern
Color and material
Logo and text accuracy
Fit
Natural hands and anatomy
Brand-rule compliance
2. Final staff review
Expression, brand direction and commercial use
Resolution, format and use-specific exports
Quality control at scale
Shared criteria, from the first image to the thousandth.
Brand character matters as delivery expands. Learning from requirements and feedback informs review criteria, helping maintain a consistent visual direction across categories, teams and seasons.
Shared standards informed by feedbackShared inspection criteriaShared export specificationsAcross categories
Dedicated company environment
Company-specific knowledge, kept in your company's production context.
Each company's wTransformer is configured separately. Your brand rules, product information and decision history are used for your company's production rather than mixed into another company's work.
Company A: wTransformer
Brand rules
Product master data
Decision history
Company B: wTransformer
Brand rules
Product master data
Decision history
Company C: wTransformer
Brand rules
Product master data
Decision history
Designed without cross-company data sharing
Enterprise features
Designed for your company's ongoing workflow.
wModel supports everything from a single trial image to ongoing generation at scale, week after week and season after season. The generation workflow is tailored to your quality standards and review process so it can become part of your everyday operations.
Separate company environments
Each company's wTransformer is separate. Brand rules, product data and decision history support that company's own production.
Delivery-file preparation
Deliver images in the sizes, aspect ratios and formats required by their destination, ready for the agreed publishing use.
A record of project actions
Record who did what and when, including AI production, inspection results, final staff review and client approval, for each project.
10/02 09:14
Client
Brief received
12 autumn/winter knit items
10/02 09:15
AI engine
Production instructions prepared
Knowledge layer: rules and previous project
10/02 10:02
Staff
Confirm production instructions
Confirm deadline and color range
10/03 11:40
AI engine
Generate No.05 v1
Consistency check passed
10/03 11:52
AI inspection engine
Compare No.05 v1 with the product
Shape, color, logos, text and hands meet the criteria
10/03 14:22
Staff
Final review and approval of No.05 v1
Share in wBoard
10/05 18:03
Client
Client feedback by reply
Cuff and washed-out tone
10/06 13:31
AI engine
Generate No.05 v2
Revise the flagged areas
10/08 10:12
Client
Approve v2
Proceed to delivery
This display is an illustration of the project record.
Version management
Each cut has version numbers. Review what changed and which version was approved at any time.
v1Initial generation
v1Two-stage review and sharing
✎Revision plan
v2Targeted revision
✓Approval and delivery
Approval workflow
Revisions follow the sequence: agree the plan → produce → inspect with AI → final staff review → client approval. Establish the shared understanding before reworking the image.
Coordinated progress for larger commissions
Whole seasons, multiple brands and multiple categories can use the same production structure: parallel AI creation, inspection of every cut and a final staff review, scaled to the project's workload.
Diagram text
Received
Parallel AI production
AI inspection
Final staff review
Delivery
AI inspection
Staff
Project management with wBoard
Project progress on one shared board.
wBoard is the online board for shared project status. Follow each cut from intake to delivery, including what the engine produced, what AI inspection found and what staff reviewed. Revision plans, version differences and the conversation history stay together, with notifications linked to the same project record.
Intake, AI production, AI inspection, final staff review, client review, revision and delivery: see the current stage of each cut.
OwnerSee whose action is next
Each stage shows who handles it—the production engine, AI inspection, staff or your team—making responsibility and pending actions visible.
VersionsCompare version differences side by side
Compare v1 and v2 with an overlay slider and inspect the actual visual changes.
Revision planAgree the direction before revising
Revisions are first presented as a plan. The engine then reworks the agreed items.
ConversationKeep correspondence on the board
Replies are synchronized into the board so the project retains who said what and when.
ApprovalKeep an approval record
Retain which version was approved, when and by whom, supporting your internal review workflow.
Updates and project status
Replies become part of the board's project record.
Client inbox
[wModel] Please review No.05 v210/07v2 follows the agreed revision plan and has passed AI inspection and the final staff review. Review it in the notification; the project record is synchronized with wBoard.
wTransformer turns your requirements into finished assets. A dedicated enterprise system connects AI generation, AI inspection and final human review.
wTransformer connects your brand standards, product information and approval process in a dedicated generation line. An image AI engine generates the assets, AI inspection compares them with the original products, and specialists perform the final review. As production scales, each stage follows your standards through to delivery of ready-to-use assets.
No production tools to learn.
Share your product information, intended use and brand standards. We handle generation, inspection and final review as one connected process, delivering finished commercial images ready to use. Track progress, revisions and approvals in wBoard, with email available for everyday communication.
Share requirements and product information
AI production, AI inspection and final staff review
Track progress with wBoard
Finished work ready for commercial use
Images and video, through one service.
E-commerce images
Social-media images
On-model product images
Packaging
Catalogs and brochures
Posters
Website video
Short-form video
Social video
Longer advertising films
Shared brand rules and models help keep the visual tone consistent across different media.
Image AI engines produce the visualsThe image AI engine handles product-reference analysis, generation, comparison against the source product and revisions.
AI inspection, followed by staff reviewAI inspection compares each result with the source product, including shape, color, logos and text, as well as unnatural hands or anatomy. Dedicated staff then perform the final review.
Private wTransformer production environmentA dedicated production line carries each company's brand rules, models, composition and delivery formats into parallel production.
How does one product photograph become an on-model image?
02
HOW
4A AI Engine. Four dimensions of expression.
Share your product photo. We combine the model, product, interaction and style to create the finished visual.
Product images and requirementsProduct photo
Flat lay, mannequin or hanger photo
ENGINE4A AI Model Engine
Diverse models×Different products×Movement and poses×Visual expression
Model × product × interaction × style
Generated resultsOn-model images and video
4K, 8K and larger image output
The four dimensions are illustrated below.
The 4A AI Model Engine
Any Model × Any Product × Any Interaction × Any Style
AI models × industries and products × wearing and usage × styles, scenes and formats
Professional commercial AI-model visuals, with high-resolution output and detailed rendering
Bring us the difficult briefs: wModel develops visuals for demanding commercial applications.
For apparel, services, manufacturing, food, maternity, children, fashion, outdoor, sport, bags, entertainment and more.
Any model
Work with AI-generated people, animals, plants, buildings and more.
Any product
For products and services across apparel, fashion, sport, food, manufacturing and other industries.
Any interaction
From images and videos of physical products being worn or used to scenes that illustrate services, hospitality and entertainment.
Any style
Different moods, visual styles and delivery specifications for websites, social media, catalogs, publications, still images and video.
See what we can create from a single product image you already have.
Brand key visuals, catalogs and publications, large-format print, Web, social media and advertising video. Expand your expression worldwide with consistent models and products.
Take your brand to the world.
Model appearance, skin tone, age and setting, selected for your product and the market you want to reach.
03-2
Large-format visuals
4K, 8K and larger image output. Generated locations and studio settings, with material texture and fine detail.
wModel.AI 2.0 Apparel
wModel.AI 2.0 — An integrated AI generation platform built around wTransformer
AI models × apparel categories × wearing and usage × styles
wModel.AI 2.0 Apparel
Your choice of location
High-resolution image output: 4K, 8K and 10,000–50,000-plus pixels
wModel.AI 2.0 Apparel
Your choice of studio-style setting
Reproducing details, patterns and material texture
wModel.AI 2.0 Apparel
Generate AI-model images and films showing your product being worn or used, starting with one product image.
Flat lays, mannequins, hanger photographs and other source formats
One product image becomes an on-model visual. wModel.AI 2.0 updates: the adaptable 4A engine supports wearing and usage scenes for products and services across industries.
Generate images and videos of people, animals, plants, buildings and other AI subjects, with products and services shown in different ways, settings and visual styles.
High-resolution image output at 4K, 8K and 30,000, 40,000 or 50,000-plus pixels; fabric and pattern detail; visualizations from materials and ingredients; and finished-product visualizations from design drawings for apparel, buildings, homeware, interiors and industrial products.
One image of the real product can become an expressive, high-quality visual of an AI model wearing or using it.
Use a fictional person or a supplied portrait, including your own face or a contracted model. Develop different skin tones, hairstyles and ages.
Develop people, exclusive brand models, animals, plants, objects, buildings, landscapes and interiors, with scenes connected to the featured product.
From a brand-exclusive model to a broad range of visual expressions, discuss an approach suited to your intended use.
AI-model options
Business-model imagery
Brand-exclusive AI models
AI models based on your portrait
Animals, plants, objects and period settings
Models developed for your company
Models developed for your brief.
You do not have to choose from a fixed roster. We develop model options for your products, audience and brand, across different ages, genders and nationalities, as well as animals and plants. There is no fixed registered-model headcount; select from candidates developed for your brief.
Woman in her twentiesWoman in her twentiesMan in his thirtiesChildCatWoman in her thirtiesMan in his sixtiesWoman in her twentiesMan in his thirtiesPlantWoman in her twentiesWoman in her twentiesMan in his thirtiesChildCatWoman in her thirtiesMan in his sixtiesWoman in her twentiesMan in his thirtiesPlant
Man in his twentiesWoman in her seventiesDogWoman in her fiftiesChildMan in his twentiesWoman in her twentiesWoman in her fortiesMan in his thirtiesWoman in her thirtiesMan in his twentiesWoman in her seventiesDogWoman in her fiftiesChildMan in his twentiesWoman in her twentiesWoman in her fortiesMan in his thirtiesWoman in her thirties
01: Brief
Late twentiesWomanNaturalSkincareExample
Define a dedicated AI model around your products, audience and brand identity.
→
02: Three candidates
Selected
Your team chooses from candidates suited to the brief.
Our business-model image service creates AI visuals of models wearing or using your products. Provide product images and we develop model looks suited to your brand, with options across age, gender, nationality and mood. We handle the development of the model's appearance.
Prepare the views you need for launches, product pages and campaign banners, with different poses, expressions and backgrounds. This service creates product-specific images efficiently; the model's face is not exclusive to your company. Choose a brand-exclusive model when you need an exclusive identity.
Brand-exclusive AI models
A brand-exclusive AI model gives your company an exclusive face. The same recognizable person can appear on the Portuguese coast, a Hawaiian beach or in a studio, becoming a lasting face for your brand.
Create an overseas-location look without coordinating travel, model availability or weather. Keep catalogs, advertising and social media consistent without finding a new model for every campaign.
Continue working with the same exclusive model across seasons and build a recognizable brand asset. Both the product imagery and the model's face are dedicated to your company.
Same-model generation
The same identity, across hundreds of cuts.
Identity consistency is one of the hardest problems in AI product imagery. Different poses, cuts and production dates can subtly alter eyes and facial contours. wTransformer retains company-specific model references and compares facial appearance and body shape across cuts to support a consistent brand face.
Different cuts and production dates, one recognizable model.
Extend one approved reference into different products, compositions, seasons and video. The examples below were generated from the single central reference. Select an image to view an illustrative facial-reference overlay.
Reference
Reference
Summer hat outdoorsExampleThe same identity in motion
Facial landmarks in this image. Reference-face overlay, shown as an illustration of comparison.
Reference
Dedicated identity data
Approved facial features, body shape and hairstyle are retained as company-specific model data and used as references for new cuts.
The same model across media
Keep a recognizable model identity across online stores, social media, catalogs and video, even when the medium or framing changes.
The same model across seasons
Continue the same model impression from spring to autumn and build a recognizable brand face over successive seasons.
An AI model with your own face
Create an AI model based on your own portrait. A fashion-brand distributor, for example, can appear wearing the clothing they sell or holding a featured drink in a promotional image.
From photographic scenes to fantasy and science-fiction visuals, place yourself on a Hawaiian beach or in front of historic architecture without traveling to the location.
Put a familiar face behind your promotion. For business owners strengthening their social presence, creators and influencers building a personal brand, an AI model based on your own face helps present products and services in your own voice.
Animals, plants, objects and period settings
Go beyond human models to animals, plants, objects and historical settings. Lifelike animal models can make pet products immediately understandable; natural environments can bring products inspired by plants and nature into focus.
Re-create a historical backdrop or a particular period to bring out a product's cultural context. Period settings work especially well for clothing, accessories and furniture associated with a specific era.
Turn a brand vision or story into distinctive AI-model visuals. Combine a photographic presentation with creative settings to support marketing and leave a memorable impression.
A wider range of expression
Different visual styles
Formal, casual, bohemian or minimal: develop model imagery that fits the product and the brand. Present the same item differently for different audiences.
Backgrounds for different social-media uses
Choose a city skyline at night, a natural landscape or an imagined world. Audience-relevant settings help the product stand out in social feeds.
Movement and action
Keep the same model through a sequence from a run-up to a flying kick and landing. Show how suit fabric stretches and folds as the person moves, so the material remains part of the story.
Let's find the right way to use AI models for your business.
A complete AI advertising service, from on-model images to advertising visuals.
AI advertising
AI advertising, from concept to finished campaign visuals.
Go beyond on-model product images. wModel creates campaign key visuals, overseas-location scenes, social-ad variations and seasonal promotions as one coordinated body of work.
Campaign key visuals
Create the visual that leads your campaign, with composition that leaves deliberate space for your headline.
Overseas and hard-to-stage locations
From an aurora-lit snowfield to a midsummer beach, create the scene your campaign needs without waiting for the right season.
Creative variations for A/B testing
Explore multiple settings for the same product and prepare creative variations together for advertising tests.
Seasonal and event promotions
Christmas, summer sales and the start of a new chapter: prepare seasonal campaign images to match your promotional calendar.
Localization by country and region
Adapt the same campaign with models suited to different countries and regions, supporting localization for international advertising.
Advertising video
Advertising across industries
Advertising visuals for hospitality, restaurants, travel, beauty and other service industries are also available.
Tell us about your advertising project through the inquiry form.
From your brief to delivery, one continuous process.
Bring your product images and requirements. wModel handles generation, inspection and revisions, then delivers the approved image and video files.
01
Share your requirements
Share product images, intended uses, quantities and the finish you want.
You and wModel
02
AI production
Create images and videos around the product and the brand's requirements.
wModel
03
Quality checks and revisions
AI inspection and revisions, followed by final staff review.
wModel
04
Review the finished visuals
Confirm that the finished work meets the intended use and your requirements.
You and wModel
05
Delivery
Receive ready-to-use image and video files in the agreed specifications.
wModel → You
wModel / Powered by wTransformer
Your brief, carried through to finished work.
Share your product assets and requirements. AI engines handle production, an AI inspection engine checks every cut, and dedicated staff carry out the final review. Your company's wTransformer cloud brings the process together, with progress visible in wBoard. From e-commerce imagery to packaging, catalogs, posters and advertising video, we deliver finished, commercially usable work.
Product images and requirementsProduct images and requirements
AI productionProduced by AI engines
Quality checksAI inspection and final staff review
Dedicated cloudCompany-specific wTransformer
Project managementShared progress in wBoard
ServicesImages, print-oriented work and video together
DeliveryDeliveryDeliveryDeliveryDeliveryDelivery
wTransformer is currently a private enterprise production system. wModel lets you experience part of its capabilities.
Next, see the process from your brief to delivery.
How it works
No production tools to learn.
There is no need to learn a complex generation tool. Share your product images, intended use and requirements. AI organizes them into generation instructions, which our team reviews before generation begins. Generation, inspection, revisions and delivery follow in one connected process.
Incoming message
From:E-commerce operations teamSubject:Product-page imagery for 12 autumn/winter knits
Hello,
Please prepare on-model product-page images for 12 new autumn/winter knits.
As before, a calm model in their late twenties, with a light background.
Include every color. We hope to use the images next week.
📎 knit_AW_12items.zipItem-list.xlsx
Production instructions: AI-prepared, staff-confirmed
ProjectAutumn/winter knit product-page images AI extracted
Scope12 items, all colors Checked against the item list
Background and toneLight background; company e-commerce hero rules
Use and formatProduct pages; square and portrait
Preferred deadlineNext week Staff review
ProgressProject created in wBoard Project notification sent
Your step 1Share your requirements
Share requirements, product images and reference materials. We also use your project history and company rules to clarify the conditions for generation.
Your step 2Review and reply
Send feedback and revision requests in the ongoing conversation. The project history and wBoard stay in sync.
Your step 3Receive and use the finished work
After AI inspection and final human review, receive finished assets in formats ready for your intended use.
From production to quality review
Follow the work from brief to delivery.
Follow each stage from requirements review to delivery. Assets that do not meet inspection criteria return to the AI engine; only reviewed assets advance to the next stage.
Your company's Transformer Brief intake
Diagram text
Email
AI
Quality checks
Staff
Complete
Email
AI engine
AI inspection
Final staff review
Delivery
Below standard: return to AI production
Received
Receive the brief
Bring the brief and product materials into one project record, then align the production requirements with company-specific rules.
AI production
AI production
Generate the work using product information, approved reference images and brand standards. Multiple outputs follow the same criteria.
AI inspection
AI inspection of every cut
Check shape, color, logos, text, fit, hands, anatomy and brand rules against the source product. Return work that does not meet the requirements for revision.
Final review
Final staff review
Staff give automatically checked work a final review and share the approved version with you.
Delivery
Deliver through wBoard and project notifications
Receive finished files suited to your use, together with the review and approval history.
Share your product and briefSend product photographs, intended uses, preferred style and references. No specialist production tool account is required.
Receive a quoteWe confirm the scope and quote for the selected plan and quantity.
Review the proposed visualsThe AI engine produces candidates in wTransformer. Only candidates that have passed AI inspection and final staff review are shared for your selection.
RevisionShare the changes you want. AI revisions are checked again by AI inspection and staff before the revised version is sent.
Delivery and invoicingReceive the finished files through a shared folder, followed by an invoice.
AI engines carry out image production. An AI inspection engine compares every generated image with the original product, and dedicated staff review the images that pass. Production, product checks and final human approval each have a defined role.
AI engine: production
Volume and speed, with shared standards.
Using the brief and understanding developed through feedback, the engine connects composition planning, generation and refinement.
Build production instructions from the brief and attachments
Refer to brand rules and past decisions throughout production
Produce multiple cuts in parallel and check consistency
Apply revisions to the agreed areas
AI inspection: automated checks
Compare every cut with the product.
The AI inspection engine compares every generated image with the source product. Work below the agreed standard returns to production with the reason for revision attached.
Product shape, silhouette and pattern
Color and material rendering
Logo and text accuracy
Fit and natural hands and anatomy
Compliance with company brand rules
Staff: final review and approval
Quality review throughout, right through to delivery.
Dedicated staff give AI-inspected images a final review, judging the overall impression, brand expression and suitability for commercial use. Only approved work moves to delivery.
Expression and mood suited to the brand
Review AI findings and revision details
Check past instructions and client requirements
Confirm file format, resolution and destination-specific exports
Features
We take responsibility for the finished work.
Typical image-generation service
wModel × wTransformer
Client's work
Learn the interface and repeatedly generate and select images
Share requirements and receive ready-to-use finished assets
Production
Ad hoc generation with a shared general system
Production using company-specific knowledge
Quality decisions
Each user judges the output
AI checks every cut against the product, followed by final staff review and approval
Learning from previous work
Repeat the instructions from scratch
Retain decisions for future projects
Larger commissions
Limited by the user's manual workload
Parallel production and two-stage review support larger workloads
Shared progress
Separate internal tracking needed
wBoard and notifications align stages, versions and approvals
Scope
Different providers for different media
One service for product and social imagery, packaging, catalogs, posters and video
What you receive
Raw material that you finish yourself
Finished commercial work, ready for its agreed use
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Pricing
From everyday product images to detailed product visuals, high-resolution brand imagery and large-format print. Choose a plan for the intended use and finish.
Choose a plan for the finish you want.
06
PLAN & FLOW
Pricing and how it works
Simple per-image pricing, with no standard setup or AI-model fee.
Your product photographAI-model wearing image
From product photos to ready-to-use commercial imagesStarting with your product photos and requirements, we handle AI generation, inspection and final review. Receive ready-to-use commercial images without taking on complex operations or repeated trial and error.
0JPY
Standard AI-model feeJPY 0
Initial setupJPY 0
RevisionsJPY 0
Unsatisfactory imagesJPY 0
Pay for the images producedNo initial setup fee or standard AI-model fee. Pay for the images produced under the selected plan. Free revisions. If you are still dissatisfied with the work, you will not be charged for it.Satisfaction guarantee
The same face, across every scene
Exclusive brand model: from JPY 100,000, by consultationAn exclusive brand model starts at JPY 100,000 per model, by consultation, with a commercial-use license that has no expiry date.
Flash
For e-commerce and social media
JPY 1,980 / image
Satisfaction guaranteeIf you are not satisfied, you will not be charged.
1K〜2K
Free revisions
Specify appearance, background, pose, clothing and mood. Up to three featured products per image.
Finished assets delivered after AI generation, AI inspection and final human review
Video
Up to 5 seconds
JPY 2,980
Up to 15 seconds
JPY 9,800
Up to 30 seconds
JPY 29,800
Smart Pro
Pro-quality visuals, managed online
JPY 4,980 / image
Satisfaction guaranteeIf you are not satisfied, you will not be charged.
2K〜4K
Free revisions
Detailed material, texture and product rendering
A fully online process from request to delivery, with AI generation followed by AI inspection and final human review
Video
Up to 5 seconds
JPY 7,980
Up to 15 seconds
JPY 24,800
Up to 30 seconds
JPY 69,800
Pro
For manufacturers and print materials
From JPY 10,000 / image
2K〜4K
Free revisions
Detailed material, texture and product rendering
A dedicated contact supports your project by phone and consultation.
Video
Up to 5 seconds
From JPY 19,800
Up to 15 seconds
From JPY 49,800
Up to 30 seconds
From JPY 148,000
Ultra
For brand imagery and large-format publications and print
Contact us for a quote
4K〜8K〜30K
Free revisions
Dedicated support from the initial consultation
Video
Duration and content
Contact us for a quote
About the models There is no fixed limit on the choice of models. We select a model for your requirements. Video pricing Video prices are per clip and exclude tax. Duration is rounded up to the next listed bracket: an 8-second video uses the up-to-15-second price; a 20-second video uses the up-to-30-second price. Free revisions and the satisfaction guarantee also apply to video.
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Getting started & FAQs
Explore applications for your business, customer examples and answers to common questions before you commission a project.
05-4
Who it is for and benefits
For e-commerce businesses, manufacturers and promotion teams.
For retailers and manufacturers who care about product images that sell.
For e-commerce and retail businesses
Compete through better images, beyond price alone. Make the same sourced product stand out without relying on a discount.
For manufacturers
Give wholesalers, retailers and customers more ways to see a product's appeal. AI-model images from different angles support broader, faster distribution.
For advertising and promotion teams
Bring ambitious ideas to life, faster and with fewer physical production hazards.
For e-commerce and retail businesses
Product images strongly influence online and retail purchases. When stores share the same manufacturer-supplied photos, price can become their only visible difference. Distinctive imagery gives you another way to compete.
Starting with one product image, wModel creates original on-model visuals quickly and economically. Even when you sell the same brand and product as another store, your presentation can be your own.
On-model views communicate scale and styling that a white-background product shot cannot show alone. Present bags and clothing in different settings to help visitors understand the product and make a purchase decision.
Prepare promotional visuals for changing seasons, sales and events, so your storefront can respond to the market.
Make your product's appeal visible and give customers a reason to choose your store beyond price.
For manufacturers
More useful images help wholesalers, retailers and end customers. wModel can present products with people of different ages and nationalities, animals and plants, in settings ranging from the past to the future and from Earth to space.
Choose models and settings that fit the product, making its features and uses immediately understandable.
Present a fashion collection with models from different cultural backgrounds in historical or futuristic settings. Or show an animal using a pet product aboard a spacecraft to create an unexpected promotional story.
Flexible choices of period and location make it easier to create seasonal and event-led campaigns and respond to market trends.
Help more wholesalers, retailers and consumers understand the value of your products with a broader range of AI-created visuals.
For advertising and promotion teams
Advertising needs fresh ideas and images that make people stop. wModel turns a planned concept into a finished advertising visual.
Ride a giant guinea pig through a city of skyscrapers: scenes that cannot be photographed in real life can be created with a photographic look, for memorable social and outdoor advertising.
Reduce the need for sets, location scouting and weather delays. Prepare revisions and variations efficiently to shorten the path from concept to campaign.
Create high-altitude action, dangerous stunts and restricted-location scenes without putting performers or crew into those physical situations.
wModel helps you develop advertising that expands what your ideas can show and strengthens the brand.
The benefits of wModel
Lower production costs
AI production helps prepare the number of images you need at a lower cost. Human or animal models and background choices can be specified without an additional selection fee under the existing service terms.
Test your marketing
Generate visual variations in a short period to test product positioning and evaluate market response, supporting more flexible marketing decisions.
Shorter production time
AI production reduces image-production time and helps deliver high-quality product visuals promptly.
More freedom to realize ambitious ideas
Explore imaginative settings and difficult-to-stage scenarios to give your product a distinctive visual presence.
Greater creative freedom
Traditional model contracts may limit usage periods, territories and product combinations. wModel.AI helps prepare the images your business needs for different markets, without coordinating a new physical shoot for each one.
Build brand recognition
Distinctive AI product visuals attract attention and help build brand recognition and a consistent brand image.
CASE
Customer cases
Our approach to client disclosure, and our own use of the service.
Since its January 2024 launch, wModel.AI has served businesses from large enterprises to small companies.
We leave disclosure of a client's AI use to the client. We have not required clients to publish their names or case studies for our own advertising.
This is the current policy described in the source and may change.
Frequently asked questions
From your brief to finished delivery, one connected service.
Using your product images and requirements, we generate the person, fabric, lighting and background as one coherent photograph. Inspection and final review come before delivery of the finished image.
✉Product images and requirementsProduct images and requirements
TYour company's TransformerProduce to company rules
AIAI inspection and CleariumCheck details and resemblance
✓Staff reviewFinal check
★DeliveryFrom product images to video
What you do not need to prepare.
✓Shipping physical products
✓Dressing a physical model
✓Waiting for samples to arrive
Frequently asked questions
ANo. We can start with your product images and requirements.
A. No. The person, clothing texture, light and background are generated as one image, and the AI inspection engine checks the product details.
A. Every cut goes through Clearium before delivery, alongside identity-consistency checks, to look for unintended resemblance to someone else.
A. Yes. Extend one approved identity to different products, compositions and video while maintaining the reference model.
A. There is no need to wait for a physical sample to arrive. Work can proceed remotely; tell us your preferred timing when you first contact us.
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Contact
Keeps learning. Improves its own process. Delivers work you can use.
Tell us about your product images, intended uses, required quantities and preferred finish.
Start by sharing a product photograph.
07
CONTACT
Contact
Share a product photograph and your requirements. We will propose an approach for your intended use.
AB
E-commerce hero image
E-commerce supporting image
On-model view
Color variants
Social portrait format: 4:5New-product posts with the same model and tone as the online store.
Social square format: 1:1Export marketplace and social formats from the same image.
Source imageCommon AI-image issue
Generated resultwMODEL
Wavy stripes → Straight, continuous pattern
Source imageCommon AI-image issue
Generated resultwMODEL
Broken stitching → Evenly spaced double stitching
Source imageCommon AI-image issue
Generated resultwMODEL
Flattened ribs → Distinct individual ribs
Source imageCommon AI-image issue
Generated resultwMODEL
Blurred checks → Fine lines and surface fibers
Source imageCommon AI-image issue
Generated resultwMODEL
Overly smooth surface → Linen's irregular weave
Source imageCommon AI-image issue
Generated resultwMODEL
Vinyl-like shine → Shadows shaped by the pile
Source imageCommon AI-image issue
Generated resulttoBeReal
Over-smoothed skin → Natural pores and skin texture
Source imageCommon AI-image issue
Generated resulttoBeReal
Overly smooth fingers → Joints and nails
Source imageCommon AI-image issue
Generated resulttoBeReal
Overly uniform hair → Individual hair strands
Source imageCommon AI-image issue
Generated resulttoBeReal
Overly uniform knit → Wool fibers
Passed both review stages
AI-generated examples
AI-generated examples
AI-generated examples
Selected
Reference
The same face, across every scene
