{"id":55734,"date":"2026-08-12T09:11:04","date_gmt":"2026-08-12T01:11:04","guid":{"rendered":"https:\/\/www.1ai.net\/?p=55734"},"modified":"2026-08-10T11:13:56","modified_gmt":"2026-08-10T03:13:56","slug":"ai%e7%bb%98%e5%9b%be%e7%94%b5%e8%84%91%e9%85%8d%e7%bd%ae%e8%a6%81%e6%b1%82%ef%bc%8c%e8%ae%b2%e6%b8%85%e6%a5%9acomfyui%e9%9c%80%e8%a6%81%e4%bb%80%e4%b9%88%e6%a0%b7%e7%9a%84%e7%94%b5%e8%84%91%e9%85%8d","status":"publish","type":"post","link":"https:\/\/www.1ai.net\/en\/55734.html","title":{"rendered":"The AI Mapping Computer configuration requires a clear description of what ComfyUI needs"},"content":{"rendered":"

A lot of people don't know the details:The resolution doubles and the presence doubles\u3002<\/strong><\/p>\n

A lot of friends have been asking me latelyComfyUI<\/a>With regard to computer configuration, this article is being read today\u3002<\/p>\n

Honestly, I've been asked that question dozens of times. Those who asked 3060 if they could run Flux, those who wanted to spend 20,000 with 4090 for SDXL, and those who struggled for half a day with AMD or NVIDIA\u3002<\/p>\n

I spent most of the month running the nine models that are currently in the mainstream over the ComfyUI, documenting each model's visible occupancy, velocity, quantitative performance\u3002<\/p>\n

Let me be clear today\u3002<\/p>\n

No bullshit, straight to the conclusion\u3002<\/strong><\/p>\n

1. Remember one sentence: Visibility capacity is more important than card performance<\/strong><\/p>\n

A lot of people buy cards first looking at model performance, which is the biggest error\u3002<\/p>\n

AL PAINTS ARE DIFFERENT FROM PLAYING GAMES\u3002<\/p>\n

IT'S A GPU GAMEHow big a model can it be<\/strong>.<\/p>\n

Models can't fit, they can't count -- they just crash\u3002<\/p>\n

Here's a real example:<\/p>\n

RTX 4060 IS BETTER THAN THE 3060 GENERATION, WITH MORE CORE PERFORMANCE AND FASTER PRODUCTION\u3002<\/p>\n

BUT IF THERE ARE 8GB IN 4060, THERE ARE 12GB IN 3060. AND THE RESULT IS..3060 can run more than 4060\u3002<\/strong><\/p>\n

So the cards first show up, second see speed\u3002<\/p>\n

Two-and-a-half top-ups. What's your number<\/strong><\/p>\n

I put together a table<\/p>\n

\"d7ccb364j00tjja4c001bd000ly007dp\"<\/p>\n

IF THE BUDGET IS LIMITED, THE 12GB IS A DESSERT SLOT THAT RUNS A 901 TP3T MODEL<\/strong>.<\/p>\n

This is my most recommended start-up configuration\u3002<\/p>\n

How much is there in each of the 3.9 models<\/strong><\/p>\n

That's my actual data. It took a lot of time to get out one by one:<\/p>\n

\"6a64a17aj00tjja3z001od000lt00arm\"<\/p>\n

SDXL HAS ONLY 5GB AT 512 X 512 AND 16GB AT 2048 X 2048. SO DON'T PULL THE RESOLUTION AT ONCELet's see how small it works<\/strong>.<\/p>\n

4. Secondhand 3090: The hidden king in my heart<\/strong><\/p>\n

If I could just recommend one card to someone with a limited budget, I would say:SECONDHAND RTX 3090<\/strong>.<\/p>\n

Make yourself at home<\/p>\n

\"58883309j00tjja4t000ud000lr006pp\"<\/p>\n

THE RATE WAS 451 TP3T, BUT ONLY ONE THIRD\u3002<\/p>\n

\"f0d2c29j00tjja540013d000lv00asp\"<\/p>\n

It's as big as it looks, and the model can run\u3002<\/strong>For individual creators, 9.5 seconds of a graph and 5.2 seconds of a graph are really not so different\u3002<\/p>\n

The second-hand purchase of 3090 points: check GPU-Z for non-mining cards, run FurMark for temperature, check for visible particle types and purchase of vouchers\u3002<\/p>\n

5. Four sets of programmes directly budgeted for you<\/strong><\/p>\n

Introduction (hs. 3,000-5,000)<\/strong><\/p>\n