C30: Optimized Article: Automatic Masking with Segment Anything

Introduction In previous article, we learned Automatic masking is a critical technique in image editing workflows, especially when isolating foreground subjects from backgrounds for tasks like in-painting or compositing. In this article, we’ll explore how to use the Segment Anything Model (SAM 2) with ComfyUI to automate the masking process. By leveraging custom nodes and … Read more

C29: Masks and Compositing: A Guide to Restoring Original Pixels After Outpainting

Introduction Masks and compositing play a critical role in image processing workflows, especially when dealing with operations like outpainting. In this tutorial, we’ll explore how to use ComfyUI tools for masking and compositing to restore original pixels after an outpainting operation. This process ensures that the original image remains intact while extending the canvas seamlessly. What Is … 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

C26: How to Optimize Inpainting Resolution in ComfyUI for Better Image Quality

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

C25: A Comprehensive Guide to Inpainting with Specialized Models in Stable Diffusion/ComfyUI

Inpainting is a critical technique in AI-driven art generation, especially when precise compositions, multiple subjects, or complex designs are required. Inpainting with specialized models allows creators to overcome the limitations of text prompts, which can often lead to unintended or ignored outputs when exceeding 30 tokens. This article explores the inpainting process, focusing on Stable Diffusion models, … Read more

C24: How to Use OpenPose in ComfyUI for Humanoid Pose Creation in AI Workflows

Introduction OpenPose, a widely-used protocol for defining human figure poses, provides a standardized method to represent humanoid joints and connections using images. This article explores how to leverage OpenPose within ComfyUI for creating text-to-image workflows. By combining OpenPose ControlNet models and pose images generated externally, users can define precise humanoid poses for AI image generation. This guide … 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

C21: Mastering Image-to-Image Prompting and CFG Scale in ComfyUI

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