InvokeAI/docs/installation/INSTALL_LINUX.md

---
title: Manual Installation, Linux
---

# :fontawesome-brands-linux: Linux

## Installation

1. You will need to install the following prerequisites if they are not already
   available. Use your operating system's preferred installer.

    - Python (version 3.8.5 recommended; higher may work)
    - git

2. Install the Python Anaconda environment manager.

    ```bash
    ~$  wget https://repo.anaconda.com/archive/Anaconda3-2022.05-Linux-x86_64.sh
    ~$  chmod +x Anaconda3-2022.05-Linux-x86_64.sh
    ~$  ./Anaconda3-2022.05-Linux-x86_64.sh
    ```

    After installing anaconda, you should log out of your system and log back in. If
    the installation worked, your command prompt will be prefixed by the name of the
    current anaconda environment - `(base)`.

3. Copy the InvokeAI source code from GitHub:

    ```bash
    (base) ~$ git clone https://github.com/invoke-ai/InvokeAI.git
    ```

    This will create InvokeAI folder where you will follow the rest of the steps.

4. Enter the newly-created InvokeAI folder. From this step forward make sure that you are working in the InvokeAI directory!

    ```bash
    (base) ~$ cd InvokeAI
    (base) ~/InvokeAI$
    ```

5. Use anaconda to copy necessary python packages, create a new python
   environment named `invokeai` and activate the environment.

    ```bash
    (base) rm -rf src      # (this is a precaution in case there is already a src directory)
    (base) ~/InvokeAI$ conda env create
    (base) ~/InvokeAI$ conda activate invokeai
    (invokeai) ~/InvokeAI$
    ```

    After these steps, your command prompt will be prefixed by `(invokeai)` as shown
    above.

6. Load the big stable diffusion weights files and a couple of smaller machine-learning models:

    ```bash
    (invokeai) ~/InvokeAI$ python3 scripts/preload_models.py
    ```

    !!! note
    	This script will lead you through the process of creating an account on Hugging Face,
	accepting the terms and conditions of the Stable Diffusion model license, and
	obtaining an access token for downloading. It will then download and install the
	weights files for you.

	Please see [../features/INSTALLING_MODELS.md] for a manual process for doing the
	same thing.

7. Start generating images!

    # Command-line interface
    (invokeai) python scripts/invoke.py

    # or run the web interface on localhost:9090!
    (invokeai) python scripts/invoke.py --web

    # or run the web interface on your machine's network interface!
    (invokeai) python scripts/invoke.py --web --host 0.0.0.0

To use an alternative model you may invoke the `!switch` command in
the CLI, or pass `--model <model_name>` during `invoke.py` launch for
either the CLI or the Web UI. See [Command Line
Client](../features/CLI.md#model-selection-and-importation). The
model names are defined in `configs/models.yaml`.

9. Subsequently, to relaunch the script, be sure to run "conda
activate invokeai" (step 5, second command), enter the `InvokeAI`
directory, and then launch the invoke script (step 8). If you forget
to activate the 'invokeai' environment, the script will fail with
multiple `ModuleNotFound` errors.

## Updating to newer versions of the script

This distribution is changing rapidly. If you used the `git clone`
method (step 5) to download the InvokeAI directory, then to update to
the latest and greatest version, launch the Anaconda window, enter
`InvokeAI` and type:

```bash
(invokeai) ~/InvokeAI$ git pull
(invokeai) ~/InvokeAI$ rm -rf src   # prevents conda freezing errors
(invokeai) ~/InvokeAI$ conda env update -f environment.yml
```

This will bring your local copy into sync with the remote one.