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Merge branch 'development' into fix-empty-prompt-exception

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Lincoln Stein
2022-09-23 09:36:15 +02:00
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docs/installation/INSTALL_LINUX.md
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@@ -1,20 +1,28 @@
# **Linux Installation**
---
title: Linux
---
1. You will need to install the following prerequisites if they are not already available. Use your operating system's preferred installer
# :fontawesome-brands-linux: Linux
- Python (version 3.8.5 recommended; higher may work)
- git
## 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.
```
~$ 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
```
```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)`.
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:
@@ -31,7 +39,9 @@ This will create InvokeAI folder where you will follow the rest of the steps.
(base) ~/InvokeAI$
```
5. Use anaconda to copy necessary python packages, create a new python environment named `ldm` and activate the environment.
5. Use anaconda to copy necessary python packages, create a new python
environment named `ldm` and activate the environment.
```
(base) ~/InvokeAI$ conda env create -f environment.yaml
@@ -39,24 +49,36 @@ This will create InvokeAI folder where you will follow the rest of the steps.
(ldm) ~/InvokeAI$
```
After these steps, your command prompt will be prefixed by `(ldm)` as shown above.
After these steps, your command prompt will be prefixed by `(ldm)` as shown
above.
6. Load a couple of small machine-learning models required by stable diffusion:
```
(ldm) ~/InvokeAI$ python3 scripts/preload_models.py
```
Note that this step is necessary because I modified the original just-in-time model loading scheme to allow the script to work on GPU machines that are not internet connected. See [Preload Models](../features/OTHER.md#preload-models)
!!! note
This step is necessary because I modified the original just-in-time
model loading scheme to allow the script to work on GPU machines that are not
internet connected. See [Preload Models](../features/OTHER.md#preload-models)
7. Now you need to install the weights for the stable diffusion model.
- For running with the released weights, you will first need to set up an acount with Hugging Face (https://huggingface.co).
- Use your credentials to log in, and then point your browser at https://huggingface.co/CompVis/stable-diffusion-v-1-4-original.
- You may be asked to sign a license agreement at this point.
- Click on "Files and versions" near the top of the page, and then click on the file named "sd-v1-4.ckpt". You'll be taken to a page that prompts you to click the "download" link. Save the file somewhere safe on your local machine.
- For running with the released weights, you will first need to set up an acount
with [Hugging Face](https://huggingface.co).
- Use your credentials to log in, and then point your browser [here](https://huggingface.co/CompVis/stable-diffusion-v-1-4-original.)
- You may be asked to sign a license agreement at this point.
- Click on "Files and versions" near the top of the page, and then click on the
file named "sd-v1-4.ckpt". You'll be taken to a page that prompts you to click
the "download" link. Save the file somewhere safe on your local machine.
Now run the following commands from within the stable-diffusion directory.
This will create a symbolic link from the stable-diffusion model.ckpt file, to
the true location of the `sd-v1-4.ckpt` file.
Now run the following commands from within the stable-diffusion directory. This will create a symbolic link from the stable-diffusion model.ckpt file, to the true location of the sd-v1-4.ckpt file.
```
(ldm) ~/InvokeAI$ mkdir -p models/ldm/stable-diffusion-v1
@@ -78,7 +100,8 @@ Now run the following commands from within the stable-diffusion directory. This
9. Subsequently, to relaunch the script, be sure to run "conda activate ldm" (step 5, second command), enter the `InvokeAI` directory, and then launch the dream script (step 8). If you forget to activate the ldm environment, the script will fail with multiple `ModuleNotFound` errors.
### Updating to newer versions of the script
## 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: