Microsoft Trellis 2: Turn Photos Into 3D Models
Creating 3D models has traditionally required advanced software, technical skills, and many hours of work. Microsoft is helping simplify this process with Trellis 2, an AI-powered tool designed to generate high-quality 3D assets from images and text descriptions. Trellis 2 is the latest version of Microsoft's 3D generation technology. It uses artificial intelligence to understand the shape, structure, and details of an object and then creates a realistic 3D model that can be used in different digital environments. What Is Microsoft Trellis 2? Microsoft Trellis 2 is an AI model that transforms 2D images into detailed 3D objects. Users can upload a photo or provide a text prompt, and the system generates a 3D representation that captures the object's geometry and appearance. The technology is designed to make 3D content creation faster and more accessible for creators, developers, designers, and businesses. It's worth being realistic about where AI-generated 3D still falls short of hand-modeled assets: geometry that looks convincing from a single rendered angle doesn't always hold up once you're rotating a model freely in a game engine or AR app, where hidden surfaces and topology quality actually matter for real-time rendering performance. Tools like Trellis 2 are strongest for quick prototyping, concept visualization, and
How to Create Product Showcase Videos With AI
Product Showcase 3D From a single product photo to a cinematic film. A three-step pipeline that turns product images into floating-hero product videos — Nano Banana Pro reference frames animated through Seedance 2.0, orchestrated end-to-end inside Claude via the Magnific MCP. Below is everything you need before running your first showcase. The reason this pipeline uses two separate models instead of one is worth understanding before you set it up: Nano Banana Pro handles the reference-frame generation because it's strong at maintaining product accuracy and consistent lighting across still images, while Seedance 2.0 takes over for the actual motion because that's the stage where realistic camera movement and physics matter most. Asking one model to do both jobs tends to produce either a product that drifts in appearance between frames, or motion that looks stiff — splitting the work between two purpose-built stages is what keeps the "floating-hero" look consistent from the first frame to the last. It's also worth understanding why product accuracy matters more here than in a typical AI video prompt: viewers evaluating a real product ad will notice if the logo placement, proportions, or material finish drift between frames, in a way they'd never catch in a purely artistic or
