Get Started Using Generative AI for Content Creation with ComfyUI (blogs.nvidia.com)

ComfyUI, an open-source node-based graphical interface for generative AI workflows, has launched significant updates that boost performance and expand model support, marking an important development for AI content creators. Leveraging close collaboration with NVIDIA, ComfyUI now delivers up to 40% faster performance on NVIDIA RTX GPUs—surpassing typical generational improvements—and supports cutting-edge AI models like Wan 2.2 for high-quality video generation, Alibaba’s Qwen-Image for precise image editing, Black Forest Labs’ open-weight FLUX.1 Krea, and the production-ready 3D model Hunyuan3D 2.1. These models benefit from NVIDIA TensorRT optimization and quantization, enabling up to 3x speedups and a 50% reduction in VRAM usage, making advanced AI workflows more accessible and efficient. Beyond model enhancements, ComfyUI offers user-friendly templates and preset nodes that simplify complex generative tasks such as video frame interpolation, natural language image editing, inpainting, outpainting, and 3D asset creation from multi-view inputs. This lowers the barrier to entry for both technical users and artists, fostering broader adoption of visual generative AI. Additionally, ComfyUI is expanding ecosystem integration with plugins for Adobe Photoshop, Blender, Foundry Nuke, and Unreal Engine, enabling seamless blending of 2D and 3D creative workflows directly within these tools. Complementing these advances, NVIDIA released an update to RTX Remix that introduces a physically accurate, path-traced particle system to dramatically enhance visuals and lighting in game mods. Together, these updates position ComfyUI as a powerful, flexible platform accelerating the adoption of state-of-the-art generative AI across creative industries, bridging performance gains with sophisticated model capabilities and intuitive workflows optimized for NVIDIA RTX hardware.