AI models by Genera.Space
Courtesy of Genera.Space
For decades, the creation of fashion imagery, be it for editorial photoshoots, e-commerce catalogue, or marketing campaigns has been as predictable as it is expensive: cast the models, book the studio, fly the team, style the garments, shoot for days, retouch for weeks, and hope that nothing goes wrong. It is a system built on friction, sometimes creative but more often logistical or financial.
The fashion photoshoot production industry is ripe for disruption, as companies use image-generation tools to compete with established AI leaders. A new entrant is attempting to dismantle production cycle entirely using AI —Genera has launched Genera.Space, a platform that proposes the complete replacement of physical elements of production with an AI-driven, end-to-end digital system. “We’re not adding another layer,” says Artem Kupriianenko, founder of Genera. “The real breakthrough will come when AI moves beyond isolated tools and reaches a level of full professional implementation capable of replacing physical production end-to-end.”
Editorial photoshoot by Genera.Space
Courtesy of Genera.Space
It’s a bold claim. But in an industry under pressure, from declining demand for luxury to rising costs, including environmental, of fast fashion, the appetite for reinvention has never been higher. Fashion didn’t arrive at this moment by accident. “The current state of the industry, from financial downturn, rising material costs, geopolitical instability, and the acceleration of AI, has created significant pressures,” said Kupriianenko. “The need to reduce costs and shorten timelines has become immediate rather than strategic.”
AI killed the fashion photoshoot
For the last few seasons, brands have experimented with AI in fragments: background generation occasionally, avatar modeling there and ad campaigns here. But those tools rarely scaled. “We’re solving the AI workflow itself,” said Sofia Polyakova, COO of Genera. “AI current uses in fashion come with great risk whether it is brand-culture related or because it breaks down when it attempts to meet the demanding realities of fashion enterprises: consistency, quality, creativity and integration.” That misalignment has been the Achilles’ heel of most AI fashion startups promising speed but quickly collapsing under the weight of real-world complexities.
Editorial photoshoot by Genera.Space
Courtesy of Genera.Space
Genera’s technology underpinning was not developed in fashion, but in industries where visual accuracy is non-negotiable: from gaming to architecture. Fashion has been playing catch-up with these industries that solved visual fidelity years ago. “Two things matter most in fashion when using AI: realistic models and precise clothing replication,” Kupriianenko says. “Customers expect the product they receive to match exactly what they see online, any discrepancy creates risk for the brand.”
Genera.space platform offers a multitude of ways to change digital models, clothes, styles, backgrounds, colors, etc. to match specific brand identity and style.
Courtesy of Genera.Space
Genera’s “clothing replication technology” offers pixel-level accuracy, with images so precise they require no retouching. The implication is profound for both fashion production teams but also for their clients: one creative prompt can replace an entire fashion production team.
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The most immediate disruption is economic. What once required weeks of coordination can now be executed in minutes, and soon seconds. Where a single shoot might yield a few hundred images, Genera.Space can produce thousands, in some cases up to 2,000 final images daily, at a cost of $0.50 to $1.50 per image on average.
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For Le Coq Sportif, one of the platform’s early adopters, the shift has been business-level transformative. Founded in 1882, the brand is not just a sportswear label but a cornerstone of French cultural identity: its rooster emblem derived from the Gallic symbol of national pride. For over a century, it has outfitted athletes across cycling, football, and rugby, and most recently served as the official outfitter of the French Olympic and Paralympic teams. “Moving to AI fundamentally changed how we produce content,” says Alexandre Fauvet, CEO of Le Coq Sportif. “What used to require a €5,000 photoshoot, complex logistics, and weeks of coordination can now be executed on demand.”
“With Genera.space platform, even though we are still in the learning phase, we already see a strong reduction in time spent on organization and coordination, as well as much greater agility. Instead of mobilizing two dedicated people for logistics and production, teams can now focus fully on creation. If a styling or pose is not perfect, we can simply regenerate an image rather than reshooting everything. This also gives us far more flexibility: we can create more poses, adapt faster, and work with simpler model rights.” – Alexandre Fauvet, CEO of Le Coq Sportif
Courtesy of Genera.Space
Fauvet was extra blunt about the old system’s inefficiencies: “A classic shoot required multiple people managing production, agencies, contracts, logistics, and post-production,” said Fauvet. “It was limited to about one shoot per month, and any missing product or styling issue meant reorganizing an entire new session.” Now, that limitation no longer exists. The transformation is both — economic and operational. “If a styling or pose is not perfect, we can simply regenerate an image rather than reshooting everything,” he says. “We’ve significantly reduced operational overhead and gained much more creative flexibility.”
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The results are measurable: “With the platform, even though we are still in the learning phase, we already see a strong reduction in time spent on organization and coordination, as well as much greater agility. Instead of mobilizing two dedicated people for logistics and production, teams can now focus fully on creation. If a styling or pose is not perfect, we can simply regenerate an image rather than reshooting everything. This also gives us far more flexibility: we can create more poses, adapt faster, and work with simpler model rights.” In less than a month, the brand transformed its content ecosystem, accelerating production while elevating its visual identity. In less than a month, the brand reshaped its entire visual identity pipeline. “We chose this innovative approach because it brings major operational and creative advantages compared to the traditional photography process,” said Fauvet.
Fashion editorial produced by Genera.space
Courtesy of Genera.Space
Genera is now working with more than 20 global enterprise brands, including established brands like ECCO, Zalando, Ttswtrs, among others. For many of these companies, a significant portion of their e-commerce content is already generated using the platform, with some replacing up to 70% of traditional production workflows. “It introduces a level of flexibility that was not realistically available before,” said Kupriianenko. “Brands can work with visual configurations previously constrained by cost, logistics, or limited room for iteration.” “Decision-making structures don’t change,” Polyakova adds. “What changes is the internal process itself: its cost and its speed.”
The New Talent Economy
Perhaps the most controversial aspect of Genera is its approach to talent. The platform includes “ethical AI fashion models,” but also introduces a hybrid system: real models can digitize their likeness and license it across campaigns and e-commerce. “Models can generate passive income while being represented across multiple productions in parallel,” said Kupriianenko.
Digital models by Genera.space
Courtesy of Genera.Space
It’s a vision of the future where real human identity becomes scalable where a face is no longer bound by time, geography, or physical presence. Some fashion critics will inevitably question what might be lost in this transition, but Genera frames it not as replacement, but natural evolution. “Our approach is to strengthen the industry capabilities, rather than disrupt it,” Kupriianenko insists. “Photographers and studios can scale from producing 10 projects a month to hundreds or thousands.”
“The future is already here,” said Kupriianenko. “The industry’s transition toward AI-driven production is inevitable.” Whether the fashion industry sees it that way remains to be seen.