ComfyUI Tutorial for Architecture: From Sketch to Realistic Render with ControlNet Canny
If you want to transform a simple sketch or plan into a detailed and realistic architectural render, ComfyUI, with its modular structure, is the perfect tool for this. In this tutorial, we will explore a simple yet powerful workflow using ControlNet Canny to turn a basic drawing into a high-quality image.
This tutorial is designed for beginners with ComfyUI. We will walk through each step, from importing models to achieving the final result.
A novel 3D generation method is introduced, enabling versatile and high-quality 3D asset creation. At its core is a unified Structured LATent (SLAT) representation, which supports decoding into multiple output formats, including Radiance Fields, 3D Gaussians, and meshes. This is achieved by combining a sparsely-populated 3D grid with dense multiview visual features extracted from a robust vision foundation model, effectively capturing both structural (geometry) and textural (appearance) information while preserving decoding flexibility.
Continuer la lecture de COMFYUI – AI for Architecture Case Study 01 : Render from basic 3D 
Structured 3D Latents for Scalable and Versatile 3D Generation (https://trellis3d.github.io/) 
