Are you ready to dive into the world of ComfyUI, a powerful and versatile framework designed for AI-driven image workflows? Whether you’re a beginner or an advanced user, our SysOSX tutorial series provides step-by-step guidance to help you master everything from the basics to advanced techniques. With over 30 detailed articles, this series covers topics ranging from installation and … Read more
Inpainting resolution optimization plays a crucial role in enhancing the quality of generated images, especially when working with models in tools like ComfyUI. The process involves scaling the masked area to leverage the full training resolution, generating the image at higher precision, and then compositing it back with the original background. This article will walk … Read more
Introduction In our previous article, we explored how ControlNet can be used in ComfyUI workflows to direct image composition using external inputs like line drawings. While this approach allowed us to achieve precise object placement, the results were not always satisfactory due to the default ControlNet parameters. For example, the generated dog followed the contours of a simple … Read more
Introduction One of the common challenges in AI image generation is achieving precise art direction. While prompts can guide the general style and content of an image, they often fall short when it comes to controlling specific composition details, such as screen direction or object placement. In this article, we’ll explore how ControlNet can be used in ComfyUI workflows to overcome … Read more
Introduction In our previous article, “Image-to-Image Transformation in ComfyUI”, we explored the fundamentals of building an image-to-image workflow. We discussed how latent space diffusion enables creative transformations while preserving essential elements of the input image. If you’re new to ComfyUI or image-to-image workflows, we recommend reading that article first to understand the basics. In this follow-up … Read more
Introduction Image-to-image transformation is a powerful technique used in AI-driven generative models to modify or enhance images by converting them into a latent space and applying diffusion processes. Unlike starting from noise, this approach allows users to work with existing images, enabling transformations that respect the original content while incorporating stylistic changes. This article explains how … Read more
Introduction Upscale images is an essential step in improving their resolution for print, web, or other applications. AI image generation tools like Stable Diffusion and ComfyUI typically produce images with resolutions around 1024 x 1024 pixels (1 megapixel). However, for high-definition (HD) and ultra-high-definition (4K) purposes, higher resolutions are required—HD images are around 2 megapixels, while 4K images are … Read more