AI Transforms 2D Images to 3D Prints in Minutes

Summary

Creating a 3D printable figure from a 2D image is now significantly faster and easier thanks to AI. The process, demonstrated using High 3D, bypasses the need for advanced 3D modeling skills or time-consuming manual part separation. Users start by generating a reference image within High 3D using text prompts, specifying desired details like 'full body' and 'fighter,' and choosing AI models such as Nano Banana 2. This image is then converted into a 3D model, with options for quality and geometry output suitable for printing. A key feature is the AI-powered splitting of the 3D model into multiple parts with integrated connectors. Users can select the number of parts and customize connector types, like ball or dove-tail, and adjust their fit and length for assembly, with advanced settings available to prevent issues like crashing connectors. This splitting capability extends beyond characters to hard-surface assets like crossbows. After splitting, a smart arrangement feature automatically places the parts on a print bed, optimizing space and creating a print plan. Finally, the arranged models can be sent directly to a chosen slicer, such as the iligu slicer, with pre-set optimal settings. The entire workflow, from image to slicer, can be completed in minutes, even for beginners, offering a streamlined path to 3D printing. The presenter noted a four-hour print time on a Saton 4 Ultra 16K, with minor manual adjustments to a few connectors needed post-printing.