mirror of
https://github.com/invoke-ai/InvokeAI
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4ee65d179c
* Updating Nodes documentation * Restructured nodes docs * Comfy to Invoke Overview * Corrections to Comfy -> Invoke Mappings * Adding GA4 to docs * Hiding CLI status * Node doc updates * File path updates * Updates based on lstein's feedback * Fix broken links * Fix broken links * Update comfy to invoke nodes list * Updated prompts documenation * Fix formatting
431 lines
17 KiB
Markdown
431 lines
17 KiB
Markdown
<div align="center">
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# Invoke AI - Generative AI for Professional Creatives
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## Professional Creative Tools for Stable Diffusion, Custom-Trained Models, and more.
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To learn more about Invoke AI, get started instantly, or implement our Business solutions, visit [invoke.ai](https://invoke.ai)
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[![discord badge]][discord link]
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[![latest release badge]][latest release link] [![github stars badge]][github stars link] [![github forks badge]][github forks link]
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[![CI checks on main badge]][CI checks on main link] [![latest commit to main badge]][latest commit to main link]
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[![github open issues badge]][github open issues link] [![github open prs badge]][github open prs link] [![translation status badge]][translation status link]
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[CI checks on main badge]: https://flat.badgen.net/github/checks/invoke-ai/InvokeAI/main?label=CI%20status%20on%20main&cache=900&icon=github
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[CI checks on main link]:https://github.com/invoke-ai/InvokeAI/actions?query=branch%3Amain
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[discord badge]: https://flat.badgen.net/discord/members/ZmtBAhwWhy?icon=discord
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[discord link]: https://discord.gg/ZmtBAhwWhy
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[github forks badge]: https://flat.badgen.net/github/forks/invoke-ai/InvokeAI?icon=github
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[github forks link]: https://useful-forks.github.io/?repo=invoke-ai%2FInvokeAI
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[github open issues badge]: https://flat.badgen.net/github/open-issues/invoke-ai/InvokeAI?icon=github
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[github open issues link]: https://github.com/invoke-ai/InvokeAI/issues?q=is%3Aissue+is%3Aopen
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[github open prs badge]: https://flat.badgen.net/github/open-prs/invoke-ai/InvokeAI?icon=github
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[github open prs link]: https://github.com/invoke-ai/InvokeAI/pulls?q=is%3Apr+is%3Aopen
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[github stars badge]: https://flat.badgen.net/github/stars/invoke-ai/InvokeAI?icon=github
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[github stars link]: https://github.com/invoke-ai/InvokeAI/stargazers
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[latest commit to main badge]: https://flat.badgen.net/github/last-commit/invoke-ai/InvokeAI/main?icon=github&color=yellow&label=last%20dev%20commit&cache=900
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[latest commit to main link]: https://github.com/invoke-ai/InvokeAI/commits/main
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[latest release badge]: https://flat.badgen.net/github/release/invoke-ai/InvokeAI/development?icon=github
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[latest release link]: https://github.com/invoke-ai/InvokeAI/releases
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[translation status badge]: https://hosted.weblate.org/widgets/invokeai/-/svg-badge.svg
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[translation status link]: https://hosted.weblate.org/engage/invokeai/
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</div>
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InvokeAI is a leading creative engine built to empower professionals
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and enthusiasts alike. Generate and create stunning visual media using
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the latest AI-driven technologies. InvokeAI offers an industry leading
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Web Interface, interactive Command Line Interface, and also serves as
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the foundation for multiple commercial products.
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**Quick links**: [[How to
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Install](https://invoke-ai.github.io/InvokeAI/installation/INSTALLATION/)] [<a
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href="https://discord.gg/ZmtBAhwWhy">Discord Server</a>] [<a
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href="https://invoke-ai.github.io/InvokeAI/">Documentation and
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Tutorials</a>] [<a
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href="https://github.com/invoke-ai/InvokeAI/">Code and
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Downloads</a>] [<a
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href="https://github.com/invoke-ai/InvokeAI/issues">Bug Reports</a>]
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[<a
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href="https://github.com/invoke-ai/InvokeAI/discussions">Discussion,
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Ideas & Q&A</a>]
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<div align="center">
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</div>
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## Table of Contents
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Table of Contents 📝
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**Getting Started**
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1. 🏁 [Quick Start](#quick-start)
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3. 🖥️ [Hardware Requirements](#hardware-requirements)
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**More About Invoke**
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1. 🌟 [Features](#features)
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2. 📣 [Latest Changes](#latest-changes)
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3. 🛠️ [Troubleshooting](#troubleshooting)
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**Supporting the Project**
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1. 🤝 [Contributing](#contributing)
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2. 👥 [Contributors](#contributors)
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3. 💕 [Support](#support)
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## Quick Start
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For full installation and upgrade instructions, please see:
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[InvokeAI Installation Overview](https://invoke-ai.github.io/InvokeAI/installation/INSTALLATION/)
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If upgrading from version 2.3, please read [Migrating a 2.3 root
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directory to 3.0](#migrating-to-3) first.
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### Automatic Installer (suggested for 1st time users)
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1. Go to the bottom of the [Latest Release Page](https://github.com/invoke-ai/InvokeAI/releases/latest)
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2. Download the .zip file for your OS (Windows/macOS/Linux).
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3. Unzip the file.
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4. **Windows:** double-click on the `install.bat` script. **macOS:** Open a Terminal window, drag the file `install.sh` from Finder
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into the Terminal, and press return. **Linux:** run `install.sh`.
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5. You'll be asked to confirm the location of the folder in which
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to install InvokeAI and its image generation model files. Pick a
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location with at least 15 GB of free memory. More if you plan on
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installing lots of models.
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6. Wait while the installer does its thing. After installing the software,
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the installer will launch a script that lets you configure InvokeAI and
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select a set of starting image generation models.
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7. Find the folder that InvokeAI was installed into (it is not the
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same as the unpacked zip file directory!) The default location of this
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folder (if you didn't change it in step 5) is `~/invokeai` on
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Linux/Mac systems, and `C:\Users\YourName\invokeai` on Windows. This directory will contain launcher scripts named `invoke.sh` and `invoke.bat`.
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8. On Windows systems, double-click on the `invoke.bat` file. On
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macOS, open a Terminal window, drag `invoke.sh` from the folder into
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the Terminal, and press return. On Linux, run `invoke.sh`
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9. Press 2 to open the "browser-based UI", press enter/return, wait a
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minute or two for Stable Diffusion to start up, then open your browser
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and go to http://localhost:9090.
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10. Type `banana sushi` in the box on the top left and click `Invoke`
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### Command-Line Installation (for developers and users familiar with Terminals)
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You must have Python 3.9 through 3.11 installed on your machine. Earlier or
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later versions are not supported.
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Node.js also needs to be installed along with yarn (can be installed with
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the command `npm install -g yarn` if needed)
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1. Open a command-line window on your machine. The PowerShell is recommended for Windows.
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2. Create a directory to install InvokeAI into. You'll need at least 15 GB of free space:
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```terminal
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mkdir invokeai
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````
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3. Create a virtual environment named `.venv` inside this directory and activate it:
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```terminal
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cd invokeai
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python -m venv .venv --prompt InvokeAI
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```
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4. Activate the virtual environment (do it every time you run InvokeAI)
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_For Linux/Mac users:_
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```sh
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source .venv/bin/activate
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```
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_For Windows users:_
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```ps
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.venv\Scripts\activate
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```
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5. Install the InvokeAI module and its dependencies. Choose the command suited for your platform & GPU.
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_For Windows/Linux with an NVIDIA GPU:_
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```terminal
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pip install "InvokeAI[xformers]" --use-pep517 --extra-index-url https://download.pytorch.org/whl/cu118
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```
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_For Linux with an AMD GPU:_
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```sh
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pip install InvokeAI --use-pep517 --extra-index-url https://download.pytorch.org/whl/rocm5.4.2
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```
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_For non-GPU systems:_
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```terminal
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pip install InvokeAI --use-pep517 --extra-index-url https://download.pytorch.org/whl/cpu
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```
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_For Macintoshes, either Intel or M1/M2:_
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```sh
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pip install InvokeAI --use-pep517
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```
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6. Configure InvokeAI and install a starting set of image generation models (you only need to do this once):
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```terminal
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invokeai-configure --root .
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```
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Don't miss the dot at the end!
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7. Launch the web server (do it every time you run InvokeAI):
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```terminal
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invokeai-web
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```
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8. Point your browser to http://localhost:9090 to bring up the web interface.
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9. Type `banana sushi` in the box on the top left and click `Invoke`.
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Be sure to activate the virtual environment each time before re-launching InvokeAI,
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using `source .venv/bin/activate` or `.venv\Scripts\activate`.
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## Detailed Installation Instructions
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This fork is supported across Linux, Windows and Macintosh. Linux
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users can use either an Nvidia-based card (with CUDA support) or an
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AMD card (using the ROCm driver). For full installation and upgrade
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instructions, please see:
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[InvokeAI Installation Overview](https://invoke-ai.github.io/InvokeAI/installation/INSTALL_SOURCE/)
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<a name="migrating-to-3"></a>
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### Migrating a v2.3 InvokeAI root directory
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The InvokeAI root directory is where the InvokeAI startup file,
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installed models, and generated images are stored. It is ordinarily
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named `invokeai` and located in your home directory. The contents and
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layout of this directory has changed between versions 2.3 and 3.0 and
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cannot be used directly.
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We currently recommend that you use the installer to create a new root
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directory named differently from the 2.3 one, e.g. `invokeai-3` and
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then use a migration script to copy your 2.3 models into the new
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location. However, if you choose, you can upgrade this directory in
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place. This section gives both recipes.
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#### Creating a new root directory and migrating old models
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This is the safer recipe because it leaves your old root directory in
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place to fall back on.
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1. Follow the instructions above to create and install InvokeAI in a
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directory that has a different name from the 2.3 invokeai directory.
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In this example, we will use "invokeai-3"
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2. When you are prompted to select models to install, select a minimal
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set of models, such as stable-diffusion-v1.5 only.
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3. After installation is complete launch `invokeai.sh` (Linux/Mac) or
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`invokeai.bat` and select option 8 "Open the developers console". This
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will take you to the command line.
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4. Issue the command `invokeai-migrate3 --from /path/to/v2.3-root --to
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/path/to/invokeai-3-root`. Provide the correct `--from` and `--to`
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paths for your v2.3 and v3.0 root directories respectively.
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This will copy and convert your old models from 2.3 format to 3.0
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format and create a new `models` directory in the 3.0 directory. The
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old models directory (which contains the models selected at install
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time) will be renamed `models.orig` and can be deleted once you have
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confirmed that the migration was successful.
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If you wish, you can pass the 2.3 root directory to both `--from` and
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`--to` in order to update in place. Warning: this directory will no
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longer be usable with InvokeAI 2.3.
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#### Migrating in place
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For the adventurous, you may do an in-place upgrade from 2.3 to 3.0
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without touching the command line. ***This recipe does not work on
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Windows platforms due to a bug in the Windows version of the 2.3
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upgrade script.** See the next section for a Windows recipe.
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##### For Mac and Linux Users:
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1. Launch the InvokeAI launcher script in your current v2.3 root directory.
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2. Select option [9] "Update InvokeAI" to bring up the updater dialog.
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3. Select option [1] to upgrade to the latest release.
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4. Once the upgrade is finished you will be returned to the launcher
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menu. Select option [7] "Re-run the configure script to fix a broken
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install or to complete a major upgrade".
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This will run the configure script against the v2.3 directory and
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update it to the 3.0 format. The following files will be replaced:
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- The invokeai.init file, replaced by invokeai.yaml
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- The models directory
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- The configs/models.yaml model index
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The original versions of these files will be saved with the suffix
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".orig" appended to the end. Once you have confirmed that the upgrade
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worked, you can safely remove these files. Alternatively you can
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restore a working v2.3 directory by removing the new files and
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restoring the ".orig" files' original names.
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##### For Windows Users:
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Windows Users can upgrade with the
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1. Enter the 2.3 root directory you wish to upgrade
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2. Launch `invoke.sh` or `invoke.bat`
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3. Select the "Developer's console" option [8]
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4. Type the following commands
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```
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pip install "invokeai @ https://github.com/invoke-ai/InvokeAI/archive/refs/tags/v3.0.0" --use-pep517 --upgrade
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invokeai-configure --root .
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```
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(Replace `v3.0.0` with the current release number if this document is out of date).
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The first command will install and upgrade new software to run
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InvokeAI. The second will prepare the 2.3 directory for use with 3.0.
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You may now launch the WebUI in the usual way, by selecting option [1]
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from the launcher script
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#### Migrating Images
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The migration script will migrate your invokeai settings and models,
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including textual inversion models, LoRAs and merges that you may have
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installed previously. However it does **not** migrate the generated
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images stored in your 2.3-format outputs directory. To do this, you
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need to run an additional step:
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1. From a working InvokeAI 3.0 root directory, start the launcher and
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enter menu option [8] to open the "developer's console".
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2. At the developer's console command line, type the command:
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```bash
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invokeai-import-images
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```
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3. This will lead you through the process of confirming the desired
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source and destination for the imported images. The images will
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appear in the gallery board of your choice, and contain the
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original prompt, model name, and other parameters used to generate
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the image.
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(Many kudos to **techjedi** for contributing this script.)
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## Hardware Requirements
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InvokeAI is supported across Linux, Windows and macOS. Linux
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users can use either an Nvidia-based card (with CUDA support) or an
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AMD card (using the ROCm driver).
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### System
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You will need one of the following:
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- An NVIDIA-based graphics card with 4 GB or more VRAM memory. 6-8 GB
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of VRAM is highly recommended for rendering using the Stable
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Diffusion XL models
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- An Apple computer with an M1 chip.
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- An AMD-based graphics card with 4GB or more VRAM memory (Linux
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only), 6-8 GB for XL rendering.
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We do not recommend the GTX 1650 or 1660 series video cards. They are
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unable to run in half-precision mode and do not have sufficient VRAM
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to render 512x512 images.
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**Memory** - At least 12 GB Main Memory RAM.
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**Disk** - At least 12 GB of free disk space for the machine learning model, Python, and all its dependencies.
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## Features
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Feature documentation can be reviewed by navigating to [the InvokeAI Documentation page](https://invoke-ai.github.io/InvokeAI/features/)
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### *Web Server & UI*
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InvokeAI offers a locally hosted Web Server & React Frontend, with an industry leading user experience. The Web-based UI allows for simple and intuitive workflows, and is responsive for use on mobile devices and tablets accessing the web server.
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### *Unified Canvas*
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The Unified Canvas is a fully integrated canvas implementation with support for all core generation capabilities, in/outpainting, brush tools, and more. This creative tool unlocks the capability for artists to create with AI as a creative collaborator, and can be used to augment AI-generated imagery, sketches, photography, renders, and more.
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### *Node Architecture & Editor (Beta)*
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Invoke AI's backend is built on a graph-based execution architecture. This allows for customizable generation pipelines to be developed by professional users looking to create specific workflows to support their production use-cases, and will be extended in the future with additional capabilities.
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### *Board & Gallery Management*
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Invoke AI provides an organized gallery system for easily storing, accessing, and remixing your content in the Invoke workspace. Images can be dragged/dropped onto any Image-base UI element in the application, and rich metadata within the Image allows for easy recall of key prompts or settings used in your workflow.
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### Other features
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- *Support for both ckpt and diffusers models*
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- *SD 2.0, 2.1, XL support*
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- *Upscaling Tools*
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- *Embedding Manager & Support*
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- *Model Manager & Support*
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- *Node-Based Architecture*
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- *Node-Based Plug-&-Play UI (Beta)*
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### Latest Changes
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For our latest changes, view our [Release
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Notes](https://github.com/invoke-ai/InvokeAI/releases) and the
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[CHANGELOG](docs/CHANGELOG.md).
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### Troubleshooting
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Please check out our **[Q&A](https://invoke-ai.github.io/InvokeAI/help/TROUBLESHOOT/#faq)** to get solutions for common installation
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problems and other issues.
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## Contributing
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Anyone who wishes to contribute to this project, whether documentation, features, bug fixes, code
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cleanup, testing, or code reviews, is very much encouraged to do so.
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To join, just raise your hand on the InvokeAI Discord server (#dev-chat) or the GitHub discussion board.
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If you'd like to help with translation, please see our [translation guide](docs/other/TRANSLATION.md).
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If you are unfamiliar with how
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to contribute to GitHub projects, here is a
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[Getting Started Guide](https://opensource.com/article/19/7/create-pull-request-github). A full set of contribution guidelines, along with templates, are in progress. You can **make your pull request against the "main" branch**.
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We hope you enjoy using our software as much as we enjoy creating it,
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and we hope that some of those of you who are reading this will elect
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to become part of our community.
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Welcome to InvokeAI!
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### Contributors
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This fork is a combined effort of various people from across the world.
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[Check out the list of all these amazing people](https://invoke-ai.github.io/InvokeAI/other/CONTRIBUTORS/). We thank them for
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their time, hard work and effort.
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### Support
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For support, please use this repository's GitHub Issues tracking service, or join the Discord.
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Original portions of the software are Copyright (c) 2023 by respective contributors.
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