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@ -1,6 +1,6 @@
<div align="center">
![project logo](https://github.com/mauwii/InvokeAI/raw/main/docs/assets/invoke_ai_banner.png)
![project logo](https://github.com/invoke-ai/InvokeAI/raw/main/docs/assets/invoke_ai_banner.png)
# InvokeAI: A Stable Diffusion Toolkit
@ -41,38 +41,136 @@ requests. Be sure to use the provided templates. They will help us diagnose issu
<div align="center">
![canvas preview](https://github.com/mauwii/InvokeAI/raw/main/docs/assets/canvas_preview.png)
![canvas preview](https://github.com/invoke-ai/InvokeAI/raw/main/docs/assets/canvas_preview.png)
</div>
# Getting Started with InvokeAI
## Table of Contents
1. [Quick Start](#getting-started-with-invokeai)
2. [Installation](#detailed-installation-instructions)
3. [Hardware Requirements](#hardware-requirements)
4. [Features](#features)
5. [Latest Changes](#latest-changes)
6. [Troubleshooting](#troubleshooting)
7. [Contributing](#contributing)
8. [Contributors](#contributors)
9. [Support](#support)
10. [Further Reading](#further-reading)
## Getting Started with InvokeAI
For full installation and upgrade instructions, please see:
[InvokeAI Installation Overview](https://invoke-ai.github.io/InvokeAI/installation/)
### Automatic Installer (suggested for 1st time users)
1. Go to the bottom of the [Latest Release Page](https://github.com/invoke-ai/InvokeAI/releases/latest)
2. Download the .zip file for your OS (Windows/macOS/Linux).
3. Unzip the file.
4. If you are on Windows, double-click on the `install.bat` script. On macOS, open a Terminal window, drag the file `install.sh` from Finder into the Terminal, and press return. On Linux, run `install.sh`.
5. Wait a while, until it is done.
6. The folder where you ran the installer from will now be filled with lots of files. If you are on Windows, double-click on the `invoke.bat` file. On macOS, open a Terminal window, drag `invoke.sh` from the folder into the Terminal, and press return. On Linux, run `invoke.sh`
7. Press 2 to open the "browser-based UI", press enter/return, wait a minute or two for Stable Diffusion to start up, then open your browser and go to http://localhost:9090.
8. Type `banana sushi` in the box on the top left and click `Invoke`
4. If you are on Windows, double-click on the `install.bat` script. On
macOS, open a Terminal window, drag the file `install.sh` from Finder
into the Terminal, and press return. On Linux, run `install.sh`.
## Table of Contents
5. You'll be asked to confirm the location of the folder in which
to install InvokeAI and its image generation model files. Pick a
location with at least 15 GB of free memory. More if you plan on
installing lots of models.
1. [Installation](#installation)
2. [Hardware Requirements](#hardware-requirements)
3. [Features](#features)
4. [Latest Changes](#latest-changes)
5. [Troubleshooting](#troubleshooting)
6. [Contributing](#contributing)
7. [Contributors](#contributors)
8. [Support](#support)
9. [Further Reading](#further-reading)
6. Wait while the installer does its thing. After installing the software,
the installer will launch a script that lets you configure InvokeAI and
select a set of starting image generaiton models.
## Installation
7. Find the folder that InvokeAI was installed into (it is not the
same as the unpacked zip file directory!) The default location of this
folder (if you didn't change it in step 5) is `~/invokeai` on
Linux/Mac systems, and `C:\Users\YourName\invokeai` on Windows. This directory will contain launcher scripts named `invoke.sh` and `invoke.bat`.
8. On Windows systems, double-click on the `invoke.bat` file. On
macOS, open a Terminal window, drag `invoke.sh` from the folder into
the Terminal, and press return. On Linux, run `invoke.sh`
9. Press 2 to open the "browser-based UI", press enter/return, wait a
minute or two for Stable Diffusion to start up, then open your browser
and go to http://localhost:9090.
10. Type `banana sushi` in the box on the top left and click `Invoke`
### Command-Line Installation (for users familiar with Terminals)
You must have Python 3.9 or 3.10 installed on your machine. Earlier or later versions are
not supported.
1. Open a command-line window on your machine. The PowerShell is recommended for Windows.
2. Create a directory to install InvokeAI into. You'll need at least 15 GB of free space:
```terminal
mkdir invokeai
````
3. Create a virtual environment named `.venv` inside this directory and activate it:
```terminal
cd invokeai
python -m venv .venv --prompt InvokeAI
```
4. Activate the virtual environment (do it every time you run InvokeAI)
_For Linux/Mac users:_
```sh
source .venv/bin/activate
```
_For Windows users:_
```ps
.venv\Scripts\activate
```
5. Install the InvokeAI module and its dependencies. Choose the command suited for your platform & GPU.
_For Windows/Linux with an NVIDIA GPU:_
```terminal
pip install InvokeAI[xformers] --use-pep517 --extra-index-url https://download.pytorch.org/whl/cu117
```
_For Linux with an AMD GPU:_
```sh
pip install InvokeAI --use-pep517 --extra-index-url https://download.pytorch.org/whl/rocm5.2
```
_For Macintoshes, either Intel or M1/M2:_
```sh
pip install InvokeAI --use-pep517
```
6. Configure InvokeAI and install a starting set of image generation models (you only need to do this once):
```terminal
invokeai-configure
```
7. Launch the web server (do it every time you run InvokeAI):
```terminal
invokeai --web
```
8. Point your browser to http://localhost:9090 to bring up the web interface.
9. Type `banana sushi` in the box on the top left and click `Invoke`.
Be sure to activate the virtual environment each time before re-launching InvokeAI,
using `source .venv/bin/activate` or `.venv\Scripts\activate`.
### Detailed Installation Instructions
This fork is supported across Linux, Windows and Macintosh. Linux
users can use either an Nvidia-based card (with CUDA support) or an
@ -80,13 +178,13 @@ AMD card (using the ROCm driver). For full installation and upgrade
instructions, please see:
[InvokeAI Installation Overview](https://invoke-ai.github.io/InvokeAI/installation/INSTALL_SOURCE/)
### Hardware Requirements
## Hardware Requirements
InvokeAI is supported across Linux, Windows and macOS. Linux
users can use either an Nvidia-based card (with CUDA support) or an
AMD card (using the ROCm driver).
#### System
### System
You will need one of the following:
@ -98,11 +196,11 @@ We do not recommend the GTX 1650 or 1660 series video cards. They are
unable to run in half-precision mode and do not have sufficient VRAM
to render 512x512 images.
#### Memory
### Memory
- At least 12 GB Main Memory RAM.
#### Disk
### Disk
- At least 12 GB of free disk space for the machine learning model, Python, and all its dependencies.
@ -152,7 +250,7 @@ Notes](https://github.com/invoke-ai/InvokeAI/releases) and the
Please check out our **[Q&A](https://invoke-ai.github.io/InvokeAI/help/TROUBLESHOOT/#faq)** to get solutions for common installation
problems and other issues.
# Contributing
## Contributing
Anyone who wishes to contribute to this project, whether documentation, features, bug fixes, code
cleanup, testing, or code reviews, is very much encouraged to do so.

90
docs/installation/020_INSTALL_MANUAL.md
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@ -30,21 +30,31 @@ Installation](010_INSTALL_AUTOMATED.md), and in many cases will
already be installed (if, for example, you have used your system for
gaming):
* **Python** version 3.9 or 3.10 (3.11 is not recommended).
* **Python**
* **CUDA Tools** For those with _NVidia GPUs_, you will need to
version 3.9 or 3.10 (3.11 is not recommended).
* **CUDA Tools**
For those with _NVidia GPUs_, you will need to
install the [CUDA toolkit and optionally the XFormers library](070_INSTALL_XFORMERS.md).
* **ROCm Tools** For _Linux users with AMD GPUs_, you will need
* **ROCm Tools**
For _Linux users with AMD GPUs_, you will need
to install the [ROCm toolkit](./030_INSTALL_CUDA_AND_ROCM.md). Note that
InvokeAI does not support AMD GPUs on Windows systems due to
lack of a Windows ROCm library.
* **Visual C++ Libraries** _Windows users_ must install the free
* **Visual C++ Libraries**
_Windows users_ must install the free
[Visual C++ libraries from Microsoft](https://learn.microsoft.com/en-US/cpp/windows/latest-supported-vc-redist?view=msvc-170)
* **The Xcode command line tools** for _Macintosh users_. Instructions are
available at [Free Code Camp](https://www.freecodecamp.org/news/install-xcode-command-line-tools/)
* **The Xcode command line tools**
for _Macintosh users_. Instructions are available at
[Free Code Camp](https://www.freecodecamp.org/news/install-xcode-command-line-tools/)
* _Macintosh users_ may also need to run the `Install Certificates` command
if model downloads give lots of certificate errors. Run:
@ -75,7 +85,7 @@ manager, please follow these steps:
=== "Linux/Mac"
```bash
export INVOKEAI_ROOT="~/invokeai"
export INVOKEAI_ROOT=~/invokeai
mkdir $INVOKEAI_ROOT
```
@ -99,35 +109,30 @@ manager, please follow these steps:
Windows environment variable using the Advanced System Settings dialogue.
Refer to your operating system documentation for details.
=== "Linux/Mac"
```bash
```terminal
cd $INVOKEAI_ROOT
python -m venv create .venv
```
=== "Windows"
```bash
cd $INVOKEAI_ROOT
python -m venv create .venv
python -m venv .venv --prompt InvokeAI
```
4. Activate the new environment:
=== "Linux/Mac"
```bash
source .venv/bin/activate
```
=== "Windows"
```bash
```ps
.venv\script\activate
```
If you get a permissions error at this point, run the command
`Set-ExecutionPolicy -ExecutionPolicy Unrestricted -Scope CurrentUser`
and try `activate` again.
The command-line prompt should change to to show `(.venv)` at the
If you get a permissions error at this point, run this command and try again
`Set-ExecutionPolicy -ExecutionPolicy RemoteSigned -Scope CurrentUser`
The command-line prompt should change to to show `(InvokeAI)` at the
beginning of the prompt. Note that all the following steps should be
run while inside the INVOKEAI_ROOT directory
@ -137,38 +142,45 @@ manager, please follow these steps:
python -m pip install --upgrade pip
```
6. Install the InvokeAI Package. The `--extra-index-url` option is used to select among CUDA, ROCm and CPU/MPS drivers as shown below:
6. Install the InvokeAI Package. The `--extra-index-url` option is used to select among
CUDA, ROCm and CPU/MPS drivers as shown below:
=== "CUDA (NVidia)"
```bash
pip install InvokeAI[xformers] --use-pep517 --extra-index-url https://download.pytorch.org/whl/cu117
```
=== "ROCm (AMD)"
```bash
pip install InvokeAI --use-pep517 --extra-index-url https://download.pytorch.org/whl/rocm5.2
```
=== "CPU (Intel Macs & non-GPU systems)"
```bash
pip install InvokeAI --use-pep517 --extra-index-url https://download.pytorch.org/whl/cpu
```
=== "MPS (M1 and M2 Macs)"
```bash
pip install InvokeAI --use-pep517 --extra-index-url https://download.pytorch.org/whl/cpu
pip install InvokeAI --use-pep517
```
7. Deactivate and reactivate your runtime directory so that the invokeai-specific commands
become available in the environment
=== "Linux/Macintosh"
```bash
deactivate && source .venv/bin/activate
```
=== "Windows"
```bash
```ps
deactivate
.venv\Scripts\activate
```
@ -179,7 +191,7 @@ manager, please follow these steps:
models, model config files, directory for textual inversion embeddings, and
your outputs.
```bash
```terminal
invokeai-configure
```
@ -314,7 +326,7 @@ installation protocol (important!)
=== "MPS (M1 and M2 Macs)"
```bash
pip install -e . --use-pep517 --extra-index-url https://download.pytorch.org/whl/cpu
pip install -e . --use-pep517
```
Be sure to pass `-e` (for an editable install) and don't forget the
@ -332,3 +344,27 @@ installation protocol (important!)
Please see [Contributing](/index.md#Contributing) for hints
on getting started.
### Unsupported Conda Install
Congratulations, you found the "secret" Conda installation
instructions. If you really **really** want to use Conda with InvokeAI
you can do so using this unsupported recipe:
```
mkdir ~/invokeai
conda create -n invokeai python=3.10
conda activate invokeai
pip install InvokeAI[xformers] --use-pep517 --extra-index-url https://download.pytorch.org/whl/cu117
invokeai-configure --root ~/invokeai
invokeai --root ~/invokeai --web
```
The `pip install` command shown in this recipe is for Linux/Windows
systems with an NVIDIA GPU. See step (6) above for the command to use
with other platforms/GPU combinations. If you don't wish to pass the
`--root` argument to `invokeai` with each launch, you may set the
environment variable INVOKEAI_ROOT to point to the installation directory.
Note that if you run into problems with the Conda installation, the InvokeAI
staff will **not** be able to help you out. Caveat Emptor!