Introducing the Ultimate ComfyUI Tutorial Series: Master AI Image Workflows Like a Pro

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

C31: Fine-Tuning Diffusion Models with LoRAs: A Step-by-Step Guide

LoRAs, or Low-Rank Adaptations, are revolutionizing the way diffusion models generate specific styles and subjects. By modifying the weights of cross-attention layers within a diffusion model, LoRAs allow creators to fine-tune outputs for unique artistic or technical needs. In this article, we’ll explore how LoRAs work, their practical applications, and step-by-step guidance for integrating them … Read more

C28: Mastering Outpainting in ComfyUI: A Step-by-Step Workflow Guide

Introduction Outpainting, also known as canvas extension, is a specialized form of inpainting used to expand an image’s dimensions while preserving its visual integrity. This technique is particularly useful for adjusting aspect ratios or creating cinematic visuals. In this guide, we’ll explore how to implement outpainting using ComfyUI, focusing on workflow setup and node configurations. … Read more

C27: How to use Remove Latent Mask to perform Inpainting with Generic Diffusion Models in ComfyUI

Introduction In our previous article, Optimize Inpainting Resolution in ComfyUI, we explored techniques to enhance resolution during inpainting workflows using specialized models. Building on that foundation, this article focuses on inpainting with generic diffusion models, offering a versatile approach for scenarios where specialized inpainting models are unavailable or unsuitable. This guide walks you through the process step-by-step, … Read more

C23: Fine-Tuning ControlNet Parameters in ComfyUI

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

C22: Mastering Composition with ControlNet in ComfyUI: A Step-by-Step Guide

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

C19: Modular Sampling with SamplerCustomAdvanced: A Step-by-Step Guide

When working with machine learning workflows, modular sampling can provide a more intuitive and flexible approach to constructing models. In the previous article, I showed you how to set up the Flux model using a standard case sampler node. In this guide, we’ll explore how to set up a modular workflow using the SamplerCustomAdvanced node, focusing on … Read more

C18: Workflow for FLUX: A Guide to FLUX.1 Schnell Optimization

FLUX, a cutting-edge family of AI models developed by Black Forest Labs, is gaining attention for its versatility and performance. In this article, we’ll focus on FLUX.1 Schnell, a distilled version of the FLUX model, and walk through its workflow, including setup, configuration, and optimization. If you’re working with limited video memory or exploring advanced AI … Read more