Скачать или смотреть install checkpoint models in stable diffusion automatic1111

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installing checkpoint models in stable diffusion using the automatic1111 web ui involves several steps. this tutorial will guide you through the process, including code examples where applicable.

prerequisites

1. **python**: ensure you have python 3.8 or higher installed. you can download it from [python's official website](https://www.python.org/downloads/).

2. **git**: you will need git to clone the repository. download it from [git's official website](https://git-scm.com/downloads).

3. **cuda**: if you are using a gpu, make sure you have the appropriate version of cuda installed. check the compatibility with your gpu.

step 1: clone the automatic1111 repository

open a terminal (command prompt, powershell, or a terminal emulator on linux) and clone the automatic1111 stable diffusion web ui repository:

```bash
git clone https://github.com/automatic1111/stab...
cd stable-diffusion-webui
```

step 2: set up a virtual environment (optional but recommended)

creating a virtual environment is a good practice to avoid package conflicts:

```bash
python -m venv venv
source venv/bin/activate on windows use `venv\scripts\activate`
```

step 3: install required dependencies

install the necessary dependencies using pip:

```bash
pip install -r requirements.txt
```

step 4: download checkpoint models

1. **find checkpoint models**: you can find various models on repositories like hugging face model hub or directly from community sources. for example, stable diffusion 1.4 can be downloaded from [here](https://huggingface.co/compvis/stable....

2. **download the model**: download the `.ckpt` file of the model you want to use.

3. **place the model in the correct directory**:
create a folder named `models/stable-diffusion/` inside the `stable-diffusion-webui` directory if it doesn't already exist.
move your downloaded `.ckpt` file into this folder.

example command to move the file (adjust the path accordingly):

` ...

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