FLORA, the New York AI creative software company founded by Weber Wong (@weberwongwong) and co-founder Alex Li, launched Fashion Studio, a set of connected tools for turning garment sketches and prompts into product renders, model imagery and campaign assets.
https://x.com/floraai/status/2087932395466961252 The release is FLORA's first attempt to reshape its general-purpose canvas around a single profession. The company detailed Fashion Studio in an August 12th blog post, then demonstrated the workflow in a Thursday thread on X. Cyan described the approach as "vibe manufacturing", a compact label for using generative tools to move from a concept toward sales assets while leaving physical production outside the software.
Fashion Studio starts with design inputs including hand-drawn sketches, written prompts and reference images. A user can generate a photorealistic garment, change its color or fabric, convert between flatlay and three-dimensional ghostform views, and place the garment on a generated or uploaded model.
Campaign tools can create alternate camera angles, full-turn videos and product imagery. A Shopify connection exports website-ready assets. FLORA says the steps remain connected inside its canvas, allowing users to branch from an earlier version and compare variations without down and re-up files between tools.
That continuity is the core product decision. Fashion Studio does not ask designers to select a separate generative model for each operation. FLORA says it tested the individual tools with working fashion designers and assigned each task to the model that performed best. Users see the job, such as recoloring a garment or producing a model shot, rather than the underlying model selection.
FLORA packages the workflow, not only the models
Fashion Studio organizes its tools into three stages: concept, refinement and campaign production. The concept group includes sketch-to-render generation, prompting, reference-based concept development and a garment extractor. Refinement covers recoloring, fabric changes, flatlays, ghostforms and a review mode for collecting team comments.
The campaign layer includes virtual try-on, garment swaps, model generation, multi-angle shoots and 360-degree videos. These are visual development and marketing functions. The software produces renders and campaign material around a garment concept; it does not replace the physical sampling, patternmaking and manufacturing work required to produce clothing.
FLORA's announcement includes testimonials from designers associated with Prada Linea Rossa and Nike's Jordan Brand, along with Tiny Tuckets founder and Shopify partnerships executive John Kalis. The company says those users tested Fashion Studio on real garments. The claims and performance examples come from FLORA rather than an independent product evaluation.
Fashion Studio is available across FLORA's plans, including its free tier. Access does not mean unrestricted generation. FLORA's pricing page lists a free plan with three active projects and up to 17 generations, based on the stated average cost of one of its image models. Paid plans combine seat fees with included or metered model usage.
That structure matters for fashion teams producing large batches of colorways, model shots or catalog assets. The interface hides model selection, while the economics still depend on how many generations and higher-cost video operations a project consumes.
Wong's vertical software push
Wong started FLORA after leaving a venture investing role at Menlo Ventures for NYU's Interactive Telecommunications Program, where he worked on art and technology projects. He has said the idea emerged while he and Li watched professional creatives struggle to turn prompt-based AI tools into repeatable production processes.
The pair left NYU in February 2024 to build FLORA. Wong had previously worked in investment banking at Evercore before joining Menlo. FLORA's early product connected text, image and video models inside a node-based visual canvas, allowing creative teams to save and rerun a process rather than begin each project from an empty prompt box.
Fashion Studio narrows that thesis. Instead of asking a designer to assemble a workflow from scratch, FLORA now provides an opinionated sequence based on how a fashion project moves from an initial idea toward presentation and sale. Review tools and Shopify export extend the product beyond image generation into approvals and distribution.
FLORA announced a $42 million Series A led by Redpoint Ventures in January, bringing its reported total funding to $52 million. Earlier backers include Hanabi Capital, Menlo Ventures, a16z Speedrun and Long Journey Ventures. The company says millions of creatives have used FLORA and names Pentagram, AKQA, Red Antler, Lionsgate and MSCHF among teams using the platform.
The funding gives FLORA room to build specialized interfaces on top of the same underlying canvas. Fashion Studio provides the first clear example: a horizontal multi-model product becoming vertical software, with the model-routing and workflow construction handled behind the interface.
The next test is whether fashion professionals keep those workflows inside FLORA after the first render. The product spans ideation, review and campaign production, giving the company several points where a team can standardize its process and several categories of model usage it can meter.