AI models by Genera.Space<\/p>\n
Courtesy of Genera.Space<\/p>\n
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. <\/p>\n
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 \u2014Genera has launched Genera.Space<\/a>, a platform that proposes the complete replacement of physical elements of production with an AI-driven, end-to-end digital system. \u201cWe\u2019re not adding another layer,\u201d says Artem Kupriianenko<\/a>, founder of Genera. \u201cThe 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.\u201d <\/p>\n Editorial photoshoot by Genera.Space<\/p>\n Courtesy of Genera.Space<\/p>\n It\u2019s 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\u2019t arrive at this moment by accident. \u201cThe current state of the industry, from financial downturn, rising material costs, geopolitical instability, and the acceleration of AI, has created significant pressures,\u201d said Kupriianenko. \u201cThe need to reduce costs and shorten timelines has become immediate rather than strategic.\u201d<\/p>\n AI killed the fashion photoshoot<\/p>\n 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. \u201cWe\u2019re solving the AI workflow itself,\u201d said Sofia Polyakova<\/a>, COO of Genera. \u201cAI 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.\u201d That misalignment has been the Achilles\u2019 heel of most AI fashion startups promising speed but quickly collapsing under the weight of real-world complexities. <\/p>\n Editorial photoshoot by Genera.Space<\/p>\n Courtesy of Genera.Space<\/p>\n Genera\u2019s 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. \u201cTwo things matter most in fashion when using AI: realistic models and precise clothing replication,\u201d Kupriianenko says. \u201cCustomers expect the product they receive to match exactly what they see online, any discrepancy creates risk for the brand.\u201d<\/p>\n Genera.space platform offers a multitude of ways to change digital models, clothes, styles, backgrounds, colors, etc. to match specific brand identity and style.<\/p>\n Courtesy of Genera.Space<\/p>\n Genera\u2019s \u201cclothing replication technology\u201d 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. <\/p>\n A French Institution Adopts AI To Reinvent Itself<\/p>\n 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.<\/p>\n ForbesArtist Lina Condes Reimagines Rodin\u2019s Legacy For The AI AgeBy Stephan Rabimov<\/a><\/p>\n For Le Coq Sportif<\/a>, one of the platform\u2019s 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. \u201cMoving to AI fundamentally changed how we produce content,\u201d says Alexandre Fauvet<\/a>, CEO of Le Coq Sportif. \u201cWhat used to require a \u20ac5,000 photoshoot, complex logistics, and weeks of coordination can now be executed on demand.\u201d <\/p>\n \u201cWith 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.\u201d – Alexandre Fauvet, CEO of Le Coq Sportif<\/p>\n Courtesy of Genera.Space<\/p>\n Fauvet was extra blunt about the old system\u2019s inefficiencies: \u201cA classic shoot required multiple people managing production, agencies, contracts, logistics, and post-production,\u201d said Fauvet. \u201cIt was limited to about one shoot per month, and any missing product or styling issue meant reorganizing an entire new session.\u201d Now, that limitation no longer exists. The transformation is both \u2014 economic and operational. \u201cIf a styling or pose is not perfect, we can simply regenerate an image rather than reshooting everything,\u201d he says. \u201cWe\u2019ve significantly reduced operational overhead and gained much more creative flexibility.\u201d <\/p>\n ForbesTaipei Fashion Week Takes Its Cue From The Film IndustryBy Stephan Rabimov<\/a><\/p>\n The results are measurable: \u201cWith 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.\u201d 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. \u201cWe chose this innovative approach because it brings major operational and creative advantages compared to the traditional photography process,\u201d said Fauvet.<\/p>\n Fashion editorial produced by Genera.space<\/p>\n Courtesy of Genera.Space<\/p>\n Genera is now working with more than 20 global enterprise brands, including established brands like ECCO<\/a>, Zalando, Ttswtrs<\/a>, 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. \u201cIt introduces a level of flexibility that was not realistically available before,\u201d said Kupriianenko. \u201cBrands can work with visual configurations previously constrained by cost, logistics, or limited room for iteration.\u201d \u201cDecision-making structures don\u2019t change,\u201d Polyakova adds. \u201cWhat changes is the internal process itself: its cost and its speed.\u201d <\/p>\n The New Talent Economy<\/p>\n Perhaps the most controversial aspect of Genera is its approach to talent. The platform includes \u201cethical AI fashion models,\u201d but also introduces a hybrid system: real models can digitize their likeness and license it across campaigns and e-commerce. \u201cModels can generate passive income while being represented across multiple productions in parallel,\u201d said Kupriianenko.<\/p>\n Digital models by Genera.space<\/p>\n Courtesy of Genera.Space<\/p>\n It\u2019s 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. \u201cOur approach is to strengthen the industry capabilities, rather than disrupt it,\u201d Kupriianenko insists. \u201cPhotographers and studios can scale from producing 10 projects a month to hundreds or thousands.\u201d<\/p>\n \u201cThe future is already here,\u201d said Kupriianenko. \u201cThe industry\u2019s transition toward AI-driven production is inevitable.\u201d Whether the fashion industry sees it that way remains to be seen.<\/p>\n","protected":false},"excerpt":{"rendered":"AI models by Genera.Space Courtesy of Genera.Space For decades, the creation of fashion imagery, be it for editorial…\n","protected":false},"author":2,"featured_media":17614,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2],"tags":[24,12650,1276,25,12652,12651,12649,12648,8612,12654,12653],"class_list":{"0":"post-17613","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-ai","8":"tag-ai","9":"tag-ai-in-fashion","10":"tag-ai-models","11":"tag-artificial-intelligence","12":"tag-devils-wears-ai-fashion","13":"tag-digital-models","14":"tag-editorial-photoshoot","15":"tag-fashion-photoshoot","16":"tag-genera","17":"tag-genera-space","18":"tag-le-coq-sportif"},"_links":{"self":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts\/17613","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/comments?post=17613"}],"version-history":[{"count":0,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts\/17613\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/media\/17614"}],"wp:attachment":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/media?parent=17613"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/categories?post=17613"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/tags?post=17613"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}