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How to choose Stable Diffusion Web UI? It is enough to read this article!

Wang Fuqiang

2023-04-29

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• 1 Automatic1111 Stable Diffusion WebUI
  • 1.1 Anapnoe Stable Diffusion WebUI-UX
  • 1.2 Vladmandic Stable Diffusion Web UI
  • 1.3 Cagliostro Colab UI
• 2 Invoke AI
• 3 Sygil WebUI
• 4 ComfyUI
• 5 summary

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Stable Diffusion is the most popular model in the open source field of AI painting (text generation pictures). However, writing python code from the bottom layer to call Stable Diffusion is a bit difficult for most people. Therefore, if there is an application, it can make We simply input text, and then click to draw a picture. Isn’t that as cool as “come to the pillow when you are sleepy”? Don’t tell me, there really are. Today, Mr. Fuqiang will systematically sort out some good Stable Diffusion Web UI products for you.

1 Automatic1111 Stable Diffusion WebUI

This is the most widely used Stable Diffusion Web UI. It has full functions and strong scalability. It can be found in almost all media and video tutorials. To play Stable Diffusion, it is the option with the lowest entry threshold. For amateurs, Wall Crack is recommended.

1.1 Anapnoe Stable Diffusion WebUI-UX

Belonging to a fork (Fork) of Automatic1111 Stable Diffusion WebUI, it provides a more refreshing UI interface:

1.2 Vladmandic Stable Diffusion Web UI

Generally referred to as Vlad WebUI, it is also a fork (Fork) of Automatic1111 Stable Diffusion WebUI. It also adjusts the UI and style. It looks like this:

1.3 Cagliostro Colab UI

To be precise, it cannot be counted as the same as the above, it just provides Colab Notebook, so that you can run Automatic1111 Stable Diffusion WebUI or Anapnoe Stable Diffusion WebUI-UX more easily

2 Invoke AI

Another open source Stable Diffusion Web UI product looks like this:

3 Sygil WebUI

It looks like this:

4 ComfyUI

A Stable Diffusion Web UI product with a relatively high entry threshold. It builds the execution process of text generation and image generation in the form of flow, which is very helpful for understanding the Stable Diffusion model. In special scenarios, it can speed up the process of iteration and reuse. It generally It looks like this:

5 summary

Finally, make a summary of the above products:

For most students, it is more reasonable to choose Automatic1111 Stable Diffusion WebUI to get started. I wrote this text because some students bought the third part of ” Teacher Fuqiang’s Stable Diffusion Series ” ComfyUI, and found that from building the environment to being able When running, there is still a big threshold effect for students who do not have a technical foundation. Therefore, it is not recommended to use ComfyUI as soon as you come up. It is more recommended to start with Automatic1111 Stable Diffusion WebUI or several other conventional UI design products. After gaining more experience and understanding, go to ComfyUI. Of course, you are also welcome to take a look at ” Teacher Fuqiang’s Stable Diffusion Series “, which contains excellent content from entry to mastery, such as:

1. Getting Started with Stable Diffusion
2. Advanced Stable Diffusion
3. “ComfyUI from entry to mastery”
4. “LoRA model training practice”

Have Fun～

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