Same face, every shot. Same print, every angle.
Refabric is an all-in-one AI fashion tool that helps brands, retailers, and manufacturers design garments, generate automated tech packs, and produce AI product photography. Botika, FASHN, Trayve, Modelia and Lalaland all turn a photograph into an on-model image. Two things break at catalogue scale: the model's identity drifts between shots, and print quality and texture shift as the pose changes. Refabric holds both across a whole set, at platform-exact dimensions, and it designed and specified the garment before it photographed it.
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Side by side
Refabric vs Botika and the on-model imagery tools
| Capability | Refabric | Botika and the on-model imagery tools |
|---|---|---|
| Scope | Trend analysis, collection development, design and variation, fabric and print, technical specs with pattern blocks and 3D, costing, manufacturability checks, AI models, photoshoots and campaign imagery | AI on-model product photography, storefront-first |
| Agentic workflow | Agentic workflows coordinate tasks with human review, carrying the collection brief, material choices and commercial targets between stages, so a fabric change propagates to cost and technical requirements | Not a capability |
| Design Canvas | Moodboards, Brand DNA, brand assets, fabrics and trims attached as references and called into one prompt with “@”, so a single generation draws on all of them | Not a capability |
| Brand DNA | A locked narrative, colour palette and silhouette, fabric and construction tags, so a whole capsule generated from it shares one design language automatically | Not a capability |
| Fabric & print | Masked Edit & Variate against an approved fabric reference; Print Tools places repeats at true scale and rotation; Smart Recolor takes an exact hex to a brushed region | Not a capability |
| Trend data | Explore Trends surfaces runway and social looks filtered by city, season, year, gender and designer, with AI analysis per look and Style Crops isolating construction | Not a capability |
| Tech Pack & cost | One approved image to BOM, Placement Guide callouts, pre-graded size chart, pattern blocks carrying panels, seam relationships and measurements, 3D assembly and a Cost Sheet | Not a capability |
| Production Intelligence | Flags manufacturability issues on the spec, suggests fabric alternatives on performance grounds, and benchmarks the garment against category standards | Not a capability |
| AI models & PDP | Bulk AI photoshoots at catalogue scale, face and texture held across every pose, output at platform-exact dimensions | On-model imagery at volume; identity and texture consistency varies by tool |
| Access | Public pricing, free trial, enterprise tier | Credit-based plans from roughly $22 to $29 a month |
| Best for | Freelance designers through to enterprise groups: studios, agencies, creative and production offices, brands, retailers and manufacturers | Refreshing a catalogue that already exists |
Highlighted rows are the eight capabilities that decide whether a design becomes a product that sells.
Why the output is better
The platform reads the spec back
Once the pack exists, a Production Intelligence layer reads it. It flags manufacturability issues before the spec leaves the building, suggests fabric alternatives on performance grounds rather than on price alone, and benchmarks the garment against category standards so an outlier is visible while it is still cheap to change. This is the difference between software that records a decision and software that has an opinion about it. A construction that will cause trouble on the line gets caught at the desk, not at the first proto, and the designer finds out while the design is still open.
A photography tool has nothing to say about the garment. Refabric reads the spec back, flags manufacturability and benchmarks against category standards, because it designed the thing in the first place.
Catalogue imagery at scale, with one face
Bulk AI photoshoots generate catalogue and campaign imagery at the volume a collection launch actually needs. Ghost and flat lay shooting produces a matched view set from one garment reference; Product to On-Model applies a chosen model, avatar or mannequin with front, back, side and three-quarter templates, carrying the garment's fit, proportions and details over from the source. Lighting holds while only pose and camera angle change, face consistency maintains identity across the whole product page, stitch patterns and print quality survive every angle, and output lands at the exact dimensions the platform requires. The virtual models are yours to create and reuse.
One garment reference, selected views, fixed lighting, only pose and camera changing, and the face held across the set, plus models you own and reuse.
Design intent carried into construction
One approved design image becomes a complete technical package in minutes. The Bill of Materials auto-populates with fabrics, trims, closures and hardware itemised by type and placement, editable in place for supplier-specific sourcing. Placement Guide pins construction onto front, back and side artwork as callouts. The size chart arrives pre-graded. Pattern blocks represent garment panels, seam relationships and measurements as structured construction information, so designers and patternmakers can review construction, ease and likely fabric consumption against material requirements before anything is cut. A Cost Sheet gives CMT plus material from real marketplace fabric prices adjusted for manufacturing geography. Digital checks support the process; physical fit and production readiness still require expert assessment and sample validation.
BOM, callouts, seam relationships and a cost sheet. The stage nobody in the imagery category attempts, because it is not their job.
The brief travels with the work
Agentic workflows coordinate tasks across the platform with human review at each stage, carrying the collection brief, the material choices and the commercial targets forward instead of leaving them in somebody's inbox. Because product context is shared, a team can see how a fabric or construction change moves cost and technical requirements at the same time, in the same place. That is what removes repeated handoffs and avoidable revisions. Designers, merchandisers, buyers, patternmakers, production teams and marketers work in one workspace rather than six, and the agents coordinate between them rather than replacing anyone's judgement.
The brief, the material choice and the commercial target carried between stages, which presupposes there are stages to carry them between.
One profile, and the capsule holds together
Brand DNA runs a deep analysis of your own visual assets: fabric type, weight, drape and texture; colour palettes, tones and the relationships between them; silhouette, construction and proportions; and detail-level specifics down to trims, stitching patterns, closures and embellishments. Every design generated against a selected Brand DNA draws from the same locked narrative, palette and construction tags, so a whole product family shares one design language automatically rather than by review. Component recommendations stay scoped to libraries you have already approved.
The virtual models reflect your Brand DNA rather than a stock face, so the catalogue reads as one brand.
Change one component. Leave everything else alone.
Fabrics are trained on composition and performance data, so the prototype shows the texture, drape, fit and movement that blend actually produces, and a library of thousands ships with every package. Edit & Variate masks a single component with a brush, a magic wand or a text description, attaches the approved fabric, and leaves every other approved detail untouched. Print Tools places repeats, engineered prints, logos and placement graphics at true scale and position, with Make Seamless turning any pattern into a tileable repeat. Smart Recolor takes an exact hex or palette colour to a brushed region without touching the design, so a colourway stays a colourway rather than becoming a new design.
Trained fabrics mean the garment in the photograph behaves the way the real one will.
Every reference you have, in one prompt
Attach a runway look from Moodboards, your Brand DNA, a fabric reference and an approved trim to the canvas, then call each one into the prompt with “@”. The generation merges only the pieces you named, so trend direction, brand identity and real materials arrive in the same instruction instead of across three separate rounds. Sketch to Design accepts a flat technical drawing as the structural base and keeps the original construction while the prompt supplies what the sketch cannot show. Nothing is re-typed, and the thread that produced a concept stays attached to it.
The design stage these tools presuppose, with trend, brand and fabric references in one prompt.
Live signals, not a training set
Explore Trends surfaces relevant looks from runway shows and social media, filterable by city, season, year, gender and designer, and breaks each look down into an AI-generated attribute analysis. Style Crops isolate a specific construction out of a look so it can be carried into a design as a reference. The data is ingested continuously, which means a design can be generated against what is happening in fashion now rather than against whatever a model absorbed eighteen months ago. No general image model can do this, because it is a data operation rather than a model feature.
Knowing what to shoot, not just how to shoot it.
Sustainability & traceability
Shooting a catalogue conventionally means samples shipped to a studio, a crew and travel, for products already committed to.
Count the journeys a sample takes before it appears on a website: factory to brand, brand to fit session, back for correction, then to a studio with a model, a photographer and a day. Much of that exists to produce images rather than to produce a garment. Bulk AI photoshoots remove the logistics stacked around it, and catching a manufacturability problem at the desk means fewer styles reach the sample stage twice. Because the imagery exists before the garment does, a collection can also be presented and sold earlier, which is where production quantities stop being a forecast. On traceability, everything a digital product passport is expected to ask for already lives inside a tech pack: composition, components and their placement, suppliers, measurements. Refabric holds it as editable structured fields exportable to Excel rather than trapped in a PDF designed for printing. The textiles delegated act is indicatively scheduled for 2027 with a transition period following. If your BOM is structured and versioned, a product passport is an export with a mapping layer; if it is a PDF, it is a project with a budget and a consultant.
FAQ
Frequently asked questions
Does Refabric replace Botika?
For teams that design as well as sell, yes, with face consistency across a set, catalogue-scale output, and the design, specification and manufacturability stages attached.
Can Refabric shoot garments I already sell?
Yes. One garment reference generates a matched multi-view set, from a flat lay or an on-model photo.
What if I only need catalogue photography?
Then a focused tool is the cheaper answer. Refabric makes sense when photography is one of several stages you are paying for.
From trend signal to production ready, in one platform.
Design Smarter · Market Faster