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
Introduction Latent upscaling is an advanced image enhancement technique that operates within the latent space of stable diffusion models. By processing the image in its compact latent representation, this method allows for significant resolution upgrades and improved detail quality. Unlike traditional pixel-based upscaling, latent upscaling introduces new levels of detail during the rediffusion process, making … Read more
Stable Diffusion has revolutionized image generation by operating in the latent space rather than the pixel space, providing users with unparalleled flexibility and control. One particularly powerful technique enabled by this framework is daisy-chaining samplers, a method that allows you to refine image fidelity and prompt adherence while preserving the desired composition. In this article, we’ll … Read more
When working with AI-powered image generation tools like ComfyUI, understanding inference steps and CFG (classifier-free guidance) scale is essential for producing high-quality results. In this article, we’ll explore how these parameters affect image generation and how to adjust them to achieve the best outcomes. Understanding Inference Steps Inference steps, also known as sampling steps, define … Read more
ComfyUI is a powerful visual programming tool for creating AI workflows, particularly for image generation. One of its standout features is the color-coded connection wires, which indicate the strict data types used in the system. This guide will help you understand how parameters and data types work in ComfyUI, along with practical tips for optimizing your … Read more
In our previous article, we walked you through the process of creating an AI agent using Azure AI Foundry. Now, it’s time to take your agent to the next level! By integrating Grounding with Bing Search, you can supercharge your AI agent with real-time, web-based information. This ensures your agent delivers accurate, up-to-date, and contextually relevant responses for … Read more
Azure AI Foundry is a powerful platform that allows organizations to build and deploy AI agents tailored to their unique requirements. By leveraging Azure OpenAI resources, you can create intelligent agents equipped with advanced tools like code interpreters and custom functions. These agents can perform tasks such as running code, searching the web, and much … Read more