Private deployment of Stable Diffusion to play with AI drawing

Stable Diffusion is an open source deep learning model. Its main function is to generate high-quality images through text descriptions, and supports functions such as graph generation, model merging, and model training. The operating interface of the model can be seen in the figure below.

How to generate pictures

The following is an introduction to the process of generating a picture of a deer drinking water. When generating a picture, it is divided into prompt words and negative prompt words. When entering the prompt words, you must describe it clearly and try to describe the scene, object, style and color you want in detail. . For example, instead of just saying "the deer drinks water", it says "a creek, next to dense trees, and there are deer drinking water next to the creek". The negative prompt words are in the opposite direction. For example: no buildings, no people , no bridges, no fences, and too vague a description may lead to results that are not as expected.

The core advantages of Stable Diffusion

Advantage

There are many applications for AI painting, so what are the core advantages of Stable Diffusion?

Compared with many other AI painting tools, Stable Diffusion is completely open source, which means that anyone can use, modify and distribute it for free, and can train the model by themselves. There are many styles of paintings, and there are many styles of models in civitai (overseas) and LibuLibu AI (domestic), animation games, architectural space design, two-dimensional, 3D, logo icons, etc. . .

I saw an article before that said that payment is automatic, and Stable Diffusion is equivalent to manual transmission.

Then Stable Diffusion stands out among many AI painting applications, mainly due to the following core advantages:

scenes to be used

You can publish some works through a certain music, a certain hand and a certain book. AI painting is not very common in self-media yet, and the traffic is pretty good. The key to monetizing on these platforms is to continuously produce high-quality and attractive content, actively interact with fans, and build a fan base.

One thing I have been trying is to use GPT to generate copy to make graphic videos, generate multiple pictures through carefully created copy, and then combine these pictures into a video. In this process, picture quality plays a decisive role in the traffic of the video.

There are many picture tools in Mouyin (I use Blue Cat Wallpaper). This picture tool allows fans to download pictures here. You must watch the advertisement before downloading. You can convert the generated high-quality avatars and wallpapers. , logo into the tool to earn advertising revenue.

Well enough:

Installation and deployment

Prerequisite

step

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