<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Comfyui on yexca'Blog</title><link>https://blog.yexca.net/en/tags/comfyui/</link><description>Recent content in Comfyui on yexca'Blog</description><generator>Hugo -- gohugo.io</generator><language>en</language><copyright>yexca</copyright><lastBuildDate>Wed, 19 Aug 2026 08:15:06 +0900</lastBuildDate><atom:link href="https://blog.yexca.net/en/tags/comfyui/feed.xml" rel="self" type="application/rss+xml"/><item><title>Discussion on Local AI Image Generation Modes and Workflows</title><link>https://blog.yexca.net/en/archives/291/</link><pubDate>Wed, 19 Aug 2026 08:15:06 +0900</pubDate><guid>https://blog.yexca.net/en/archives/291/</guid><description>📢 This article was translated by gemini-3.5-flash This article introduces several AI image generation modes, specifically t2i, i2i, and r2i, which represent Text-to-Image, Image-to-Image, and Reference-to-Image, respectively. It also includes the i2t2i mode, which is a pipeline of Image-to-Text followed by Text-to-Image.
Basic Concepts The core components of AI image generation (taking Stable Diffusion as an example) include:
Base Model (UNet/DiT): Responsible for denoising …</description></item></channel></rss>