4. 그리고 나서 Stable-diffusion 모델을 다운받아서 넣으라고 하는데... 아래 그림의 링크에서 다운받고
계정 폴더 아래 있는 stable-diffusion-webui / models / Stable-diffusion 으로 복사해준다.
5. 또한 아래의 Here 를 눌러 다운 받은 다음 4번에 다운 받은 ckpt 확장자 파일 이름과 같이 변경하여 yaml 확장자 파일로 같은 Stable-diffusion 폴더에 넣어준다.
6. 이제 대충 된것 같은데, cd stable-diffusion-webui 폴더로 이동하고 ./webui.sh 를 입력하여
본격적인 Python virtual 환경 설치 및 실행을 해보자.(필요한 것들은 알아서 다운받아 설치해준다.)
./webui.sh 를 입력했더니 아래와 같은 유저 인터페이스 창이 떴다.
음... 이제 Stable Diffusion Checkpoint 를 선택하고 Text를 적당히 입력해서 테스트 하면...
짜잔....
나 같은 컴맹 수준의 유저도 이렇게 간단히 완료했다.
"I came across a method while searching to try AI image generation.
First, since I am doing this at a level similar to a computer novice, I thought it would be something anyone could do, and I want to organize the process of installing it on an Apple Silicon chip MacBook.
(As I am documenting the process of installing it myself... I will try writing a document for installing it on a Windows PC later.)
First, let's go to the following site and roughly read and try to follow the instructions.
I found out that Homebrew is a package manager. The installation method is to open the terminal and paste it as shown in the figure below.
If you follow the instructions here, first open the terminal app and paste the command line as shown below.
Press Enter on the screen above, and the installation will proceed smoothly...
Oh, something seems to have been installed.
After installation, don't forget to proceed with the following:
The above means that you need to enter the following two lines of commands in the terminal to put the Homebrew app execution command into the PATH so that MacOS can understand it.
After that, download the Stable-diffusion model and copy it to the stable-diffusion-webui/models/Stable-diffusion folder in your account folder.
Also, download from the link below by clicking on 'Here' and put it in the Stable-diffusion folder with the same name as the ckpt extension file downloaded in step 4, changing it to a yaml extension file.
Now that it seems roughly done, go to the stable-diffusion-webui folder and enter ./webui.sh to install and run the Python virtual environment in earnest. (It automatically downloads and installs what is needed.)
When I entered ./webui.sh, the user interface window below appeared.
Now, select Stable Diffusion Checkpoint, enter some text for testing, and...
Voila!
Even a computer novice like me completed it easily."