Dreamhouse AI

Bevelify is an AI-driven tool that converts text descriptions or images into high-quality 3D models in minutes, removing the usual obstacles in 3D content creation. The platform provides text-to-3D and image-to-3D functionalities with rapid processing, realistic HD materials, and flexible export options compatible with leading design tools. Whether you are an artist, game developer, designer, business owner, or a complete novice, Bevelify makes 3D modeling accessible to everyone, regardless of technical knowledge, enabling users to swiftly create professional 3D assets for games, digital art, web design, marketing materials, or product visualization.

RenderNet is an AI-driven tool crafted to provide exceptional control in image creation, enabling users to produce images exactly to their preferences. It includes sophisticated features like FaceLock for crafting consistent characters from real faces, ControlNet for defining detailed image layouts and poses, and Multi-model generations for applying prompts across multiple models simultaneously. Furthermore, RenderNet's Canvas offers an advanced AI platform for professional-level creation and editing of AI images. This tool is perfect for developing AI influencers, game assets, avatars, fashion designs, headshots, and product photography. RenderNet is appealing for its ability to swiftly and efficiently generate highly tailored and realistic images, catering to both creative and commercial demands within the burgeoning AI art community.

Infinigen is a freely available procedural generator designed to produce varied and high-quality 3D scenes. Created by the Princeton Vision & Learning Lab, it is tailored for computer vision research and produces realistic training data. By utilizing randomized mathematical rules, Infinigen can generate limitless variations in forms, materials, and details. It features an extensive collection of generators for natural objects and environments, prioritizing precise geometry over simulated details. Additionally, Infinigen offers automatic annotations for different computer vision tasks and promotes community involvement to enhance its features.