Creality demos AI-to-model MakeNow tool with K2 and SPARKX i7 printers at BilibiliWorld 2026 alongside Lenovo, Razer, JD.com

At BilibiliWorld 2026 in Shanghai (July 10), consumer 3D printing supplier Creality shared exhibition space with Lenovo, Razer, Vicruns, JD.com and Aupres to demonstrate AI-assisted 3D printing across gaming, digital gear and cosplay props. The centerpiece was Creality Cloud's MakeNow AI tool, which converts a single uploaded photo into a printable 3D model, paired with automated parameter tuning on the company's K2 series and SPARKX i7 printers. At the JD.com booth, SPARKX i7 ran live photo-to-collectible demos; other zones paired Creality hardware with Lenovo peripherals, Vicruns camera gear, and Razer/Aupres esports setups. Creality reported 2025 revenue of RMB 3.127 billion (about $434 million) and cumulative R&D spending growth of 130% over three years, disclosed around its May 2026 Hong Kong Stock Exchange listing as the first pure-play consumer 3D printing IPO.

The photo-to-print workflow targets the same modeling and slicing friction that has kept desktop 3D printing a hobbyist niche despite falling hardware prices. Bambu Lab, Anycubic and Elegoo compete primarily on print speed and multi-material hardware; Creality's push folds a generative front end and cloud service layer on top of its printer line, extending its position from hardware vendor toward a software-plus-hardware platform closer to how Bambu Lab bundles its own slicer and app ecosystem. The event itself is a brand-marketing venue rather than a qualification-driven industrial channel, so this reads as demand-generation among gaming and anime audiences rather than a move into production manufacturing. Creality's stated global search for a chief scientist signals it wants the generative pipeline to be a durable technical asset, not a one-off demo feature.

This is a consumer-facing marketing showcase, not a new hardware release, so the practical takeaway is narrow: watch whether MakeNow AI ships broadly with print-ready mesh quality consistent enough to avoid support-structure failures, since photo-to-model generation is only useful if the output prints cleanly on the first try. Buyers evaluating Creality's AI claims should wait for hands-on reviews of output fidelity rather than booth demos.