{"id":55755,"date":"2026-08-14T09:34:09","date_gmt":"2026-08-14T01:34:09","guid":{"rendered":"https:\/\/www.1ai.net\/?p=55755"},"modified":"2026-08-11T09:10:07","modified_gmt":"2026-08-11T01:10:07","slug":"comfyui-%e4%bb%8e%e5%ae%89%e8%a3%85%e5%85%a5%e9%97%a8%e5%88%b0%e7%b2%be%e9%80%9a%ef%bc%8c%e5%b7%a5%e4%bd%9c%e6%b5%81%e5%ae%9e%e6%88%98%e6%8c%87%e5%8d%97%ef%bc%88%e7%9c%8b%e6%87%82%e8%8a%82%e7%82%b9","status":"publish","type":"post","link":"https:\/\/www.1ai.net\/en\/55755.html","title":{"rendered":"ComfyUI from installation to mastery, Workstream Practice Guide (read node chain + build + save reuse)"},"content":{"rendered":"<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-55783\" title=\"816 dffe 3j00tjjt8l00jrd000ot00dup\" src=\"https:\/\/www.1ai.net\/wp-content\/uploads\/2026\/08\/816dffe3j00tjjt8l00jrd000ot00dup.jpg\" alt=\"816 dffe 3j00tjjt8l00jrd000ot00dup\" width=\"893\" height=\"498\" \/><\/p>\n<p>Previous (Page 04)<a href=\"https:\/\/www.1ai.net\/en\/55753.html\/\">ComfyUI from installation entrance to mastery, complete guide for model selection<\/a> You've chosen the base model, you've done it. This is the most critical step:<strong>How do you connect a bunch of diamonds into a visual map\u3002<\/strong><\/p>\n<p>I just used it <a href=\"https:\/\/www.1ai.net\/en\/tag\/comfyui\" title=\"_Other Organiser\" target=\"_blank\" >ComfyUI<\/a> Sometimes, people share it<a href=\"https:\/\/www.1ai.net\/en\/tag\/%e5%b7%a5%e4%bd%9c%e6%b5%81\" title=\"_Other Organiser\" target=\"_blank\" >Workflow<\/a>It's like reading in the sky -- it's full of bricks and colored lines, and I don't know where to start. Until I've mastered the mind method of working as if<strong>Plant flow line<\/strong>The material goes in from the left, the finished product comes out from the right, and the line is the conveyor belt. This article teaches you three things: to read the default workstream, to make one out of the blanks, to save it and to re-use it\u3002<\/p>\n<p><strong>I. Psychiatry model to create node + link first<\/strong><\/p>\n<p>ComfyUI's workstream is essentially a node chart:<\/p>\n<p><strong>Node<\/strong>: a square does a specific thing, such as \"read the model\" writing a hint \"sampling out\"\u3002<br \/>\n<strong>Link<\/strong>Lines between squares, representing data flows, are coloured by data type - green is typically a model, blue is an image, orange is a subspace. It's only possible with a colored port, which automatically prevents you from getting connected\u3002<br \/>\n<strong>Add Node<\/strong>_Other Organiser<strong>double click<\/strong>Pops up a search box and you can add a nodal name. This is the first thing a rookie should remember\u3002<\/p>\n<p><strong>Remember:<\/strong>The data flow from left to right, and you follow the line to understand the whole line\u3002<\/p>\n<p><strong>II. UNDERSTANDING A SET OF SET OF STANDARD PRODUCTS FROM THE Default Flow<\/strong><\/p>\n<p><strong>Step 1: Load the default workflow\u3002<\/strong>Top menu point (fast button Ctrl+D), puddle, and there's a series of nodes on the canvas, and this is the official graph template\u3002<\/p>\n<p>Workflow<\/p>\n<p><strong>Step 2: Recognize this node chain\u3002<\/strong>Here's one from left to right:<\/p>\n<p>Load Checkpoint<br \/>\n\u2022 CLIP Text Encode is positive\/negative (writing hints)<br \/>\nEmtty Late Image<br \/>\n\u2192 KSampler<br \/>\nVAE Decode<br \/>\nSave Image<\/p>\n<table>\n<tbody>\n<tr>\n<td>\n<section>node<\/section>\n<\/td>\n<td>\n<section>What's it doing<\/section>\n<\/td>\n<\/tr>\n<tr>\n<td><strong>Load Checkpoint<\/strong><\/td>\n<td>\n<section>Bring in the base model, the base of the map<\/section>\n<\/td>\n<\/tr>\n<tr>\n<td><strong>CLIP Text Encode<\/strong><\/td>\n<td>\n<section>Up-and-up and down-to-back negative<\/section>\n<\/td>\n<\/tr>\n<tr>\n<td><strong>Emtty Late Image<\/strong><\/td>\n<td>\n<section>Set a blank canvas size in the subspace<\/section>\n<\/td>\n<\/tr>\n<tr>\n<td><strong>KSampler<\/strong><\/td>\n<td>\n<section>Core engines, by parameters<\/section>\n<\/td>\n<\/tr>\n<tr>\n<td><strong>VAE Decode<\/strong><\/td>\n<td>\n<section>Decoding subspace data into colour map<\/section>\n<\/td>\n<\/tr>\n<tr>\n<td><strong>Save Image<\/strong><\/td>\n<td>\n<section>save disk, drop output folder<\/section>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><strong>iii. Make one of your own<\/strong><\/p>\n<p>1.\u00a0<strong>Plus Road Checkpoint<\/strong>Double-click to search Checkpoint, right-hand ckpt_name\u3002<br \/>\n2.\u00a0<strong>Plus two CLIP Text Encode<\/strong>: One fill positive, one fill negative, connect the checkpoint CLIP output to their crip mouths\u3002<br \/>\n3.\u00a0<strong>Add Emtty Late Image<\/strong>: Set up width\/head (SDXL 1024x1024)\u3002<br \/>\n4.\u00a0<strong>Add KSampler<\/strong>: CHeckpoint's MODEL with its model; two CLIP's CONDITITONING companies with positive\/negative; Emtty Latet company with latent_image. Sets=20, cfg=7 and sampler=euler\u3002<br \/>\n5.\u00a0<strong>Add VAE Decode<\/strong>: KSampler's Latent Company Samles, Checkpoint's VAE Company Vae\u3002<br \/>\n6.\u00a0<strong>Plus Save Image<\/strong>: VAE Decode's IMAGE Company past\u3002<br \/>\n7.\u00a0<strong>Run<\/strong>: Top Queue Prompt (Ctrl+Enter)\u3002<\/p>\n<p><strong>Small-line skills:<\/strong>Moves the mouse to the port, and drags to another same port and releases. A small dot on the wrong line can be disconnected. Don't be afraid to make a mistake\u3002<\/p>\n<p><strong>iv. Save it and return it next time<\/strong><\/p>\n<p>For the first time, a strong recommendation was put in. WorkFlow \u2192Save (Ctrl+S) produces .json, remembers the layout, double-clicks the next time\u3002<\/p>\n<p>Two different formats:<strong>Save (ordinary)<\/strong>It's got a layout, it's always there<strong>Save (API Format)<\/strong>SAVES ONLY NODES (NUMBER ID) FOR AN INTERFACE. IF YOU DON'T HAVE A NODE FOR THE WORK STREAM THAT YOU'RE LEADING IN ONLINE<strong>The mark is wrong<\/strong>We'll just have to load the missing nodes with the Manager from Book 03. When I was playing, the big guy was working so red, it was a shock, it was all green\u3002<\/p>\n<p><strong>V. Two commonly used paths (see first step)<\/strong><\/p>\n<p><strong>SET A VINCENT + HIGH CLEAR ZOOM:<\/strong>The first generation KSampler \u2192 VAE Decode \u2192 Latent Upscale (expanded 1.5 to 2 times) \u2192 Second KSampler (denoise 0.4 to 0.6) \u2192 VAE Decode \u2192 Save. It's better than just showing up and details\u3002<\/p>\n<p><strong>Portrait B + LoRA:<\/strong>Load Checkpoint \u2192 Load LoRA (model\/crip passing through Checkpoint with a stength 0.3 to 1.0) \u2192 KSampler ... LoRA puts models\/loras\/ (Phone 09)\u3002<\/p>\n<p><strong>VI. 3 Steps to Understand People ' s Complex Flows<\/strong><\/p>\n<p>1.\u00a0<strong>Start with input node<\/strong>: Only output without input (Load Checkpoint \/ Empty Late \/ Load Image) is the starting point\u3002<br \/>\n2.\u00a0<strong>Follow the line<\/strong>: Enter and export the data from the input to the output along the line, and see which nodes the data goes through; the line is organized with the Reroute node\u3002<br \/>\n3.\u00a0<strong>Watch the output push backwards<\/strong>: Only the input unoutputed (Save Image \/ Preview) is the end point, delineating the whole chain; the misnotation point becomes red\/purie, focusing on it and the front\u3002<\/p>\n<p><strong>VII. 4060 \/ 8G OBVIOUS ATTENTION<\/strong><\/p>\n<p>Load big model nodes reddish, wrong, mostly<strong>VISIBLE SURPLUS (OOM)<\/strong>I don't know. Simplifying the chain approach:<\/p>\n<table>\n<tbody>\n<tr>\n<td>\n<section>Approach<\/section>\n<\/td>\n<td>\n<section>clarification<\/section>\n<\/td>\n<\/tr>\n<tr>\n<td>\n<section>Start with Parameters<\/section>\n<\/td>\n<td><code>-lowvram-force-fp16<\/code><\/p>\n<section>\u00a0There's been a lot of decline<\/section>\n<\/td>\n<\/tr>\n<tr>\n<td>\n<section>Quantified model<\/section>\n<\/td>\n<td>\n<section>fp8 \/ GGF Quantification (Flux Priority Quantification)<\/section>\n<\/td>\n<\/tr>\n<tr>\n<td>\n<section>VAE DECODED<\/section>\n<\/td>\n<td>\n<section>Change VAE Decode (Tiled) block decode<\/section>\n<\/td>\n<\/tr>\n<tr>\n<td>\n<section>Streamlined links<\/section>\n<\/td>\n<td>\n<section>Delete Preview, lower resolution, Unload Model<\/section>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>It's gonna work, it's gonna work, but why is somebody else's drawings beautiful and clear, and you're all gray<strong>Title 06<\/strong>I'll teach you<strong>Altitude<\/strong>- RESOLUTION, STEP, SAMPLER, CFG, HIGH-RESOLUTION MAGNIFICATION, ONE ITEM\u3002<\/p>","protected":false},"excerpt":{"rendered":"<p>Last page, ComfyUI, from installation to mastery, complete guide to model selection. This is the most crucial step in the solution: how to connect a pile of diamonds into a visible picture. When I was using the ComfyUI, I saw people sharing a work stream like a book -- a line full of blocks and colours, from where I saw it. Until I had a heart method: to use the work stream as a water line for the plant, the raw materials go in from the left, the finished product comes out from the right, the line is the conveyor belt. This article teaches you three things: to read the default workflow, to make one of your own, to save it and to re-use it. i. ComfyUI's workstream is essentially a &amp; #8<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[149,144],"tags":[1989,6276,4749,5145],"collection":[],"class_list":{"0":"post-55755","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"hentry","6":"category-jiaocheng","7":"category-baike","8":"tag-comfyui","11":"tag-5145"},"acf":[],"_links":{"self":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/55755","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/comments?post=55755"}],"version-history":[{"count":0,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/55755\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/media?parent=55755"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/categories?post=55755"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/tags?post=55755"},{"taxonomy":"collection","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/collection?post=55755"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}