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Couple doc tweaks
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@ -24,7 +24,7 @@ title: Home
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[![CI checks on main badge]][ci checks on main link]
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[![CI checks on dev badge]][ci checks on dev link]
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[![latest commit to dev badge]][latest commit to dev link]
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<!-- [![latest commit to dev badge]][latest commit to dev link] -->
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[![github open issues badge]][github open issues link]
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[![github open prs badge]][github open prs link]
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@ -54,10 +54,10 @@ title: Home
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[github stars badge]:
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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 dev badge]:
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<!-- [latest commit to dev badge]:
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https://flat.badgen.net/github/last-commit/invoke-ai/InvokeAI/development?icon=github&color=yellow&label=last%20dev%20commit&cache=900
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[latest commit to dev link]:
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https://github.com/invoke-ai/InvokeAI/commits/development
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https://github.com/invoke-ai/InvokeAI/commits/main -->
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[latest release badge]:
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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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@ -82,6 +82,25 @@ Q&A</a>]
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This fork is rapidly evolving. Please use the [Issues tab](https://github.com/invoke-ai/InvokeAI/issues) to report bugs and make feature requests. Be sure to use the provided templates. They will help aid diagnose issues faster.
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## :octicons-package-dependencies-24: Installation
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This fork is supported across Linux, Windows and Macintosh. Linux users can use
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either an Nvidia-based card (with CUDA support) or an AMD card (using the ROCm
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driver).
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### [Installation Getting Started Guide](installation)
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#### **[Automated Installer](installation/010_INSTALL_AUTOMATED.md)**
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✅ This is the recommended installation method for first-time users.
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#### [Manual Installation](installation/020_INSTALL_MANUAL.md)
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This method is recommended for experienced users and developers
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#### [Docker Installation](installation/040_INSTALL_DOCKER.md)
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This method is recommended for those familiar with running Docker containers
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### Other Installation Guides
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- [PyPatchMatch](installation/060_INSTALL_PATCHMATCH.md)
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- [XFormers](installation/070_INSTALL_XFORMERS.md)
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- [CUDA and ROCm Drivers](installation/030_INSTALL_CUDA_AND_ROCM.md)
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- [Installing New Models](installation/050_INSTALLING_MODELS.md)
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## :fontawesome-solid-computer: Hardware Requirements
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### :octicons-cpu-24: System
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@ -107,24 +126,6 @@ images in full-precision mode:
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- At least 18 GB of free disk space for the machine learning model, Python, and
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all its dependencies.
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## :octicons-package-dependencies-24: Installation
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This fork is supported across Linux, Windows and Macintosh. Linux users can use
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either an Nvidia-based card (with CUDA support) or an AMD card (using the ROCm
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driver).
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### [Installation Getting Started Guide](installation)
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#### [Automated Installer](installation/010_INSTALL_AUTOMATED.md)
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This method is recommended for 1st time users
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#### [Manual Installation](installation/020_INSTALL_MANUAL.md)
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This method is recommended for experienced users and developers
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#### [Docker Installation](installation/040_INSTALL_DOCKER.md)
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This method is recommended for those familiar with running Docker containers
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### Other Installation Guides
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- [PyPatchMatch](installation/060_INSTALL_PATCHMATCH.md)
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- [XFormers](installation/070_INSTALL_XFORMERS.md)
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- [CUDA and ROCm Drivers](installation/030_INSTALL_CUDA_AND_ROCM.md)
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- [Installing New Models](installation/050_INSTALLING_MODELS.md)
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## :octicons-gift-24: InvokeAI Features
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@ -124,9 +124,9 @@ experimental versions later.
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[latest release](https://github.com/invoke-ai/InvokeAI/releases/latest),
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and look for a file named:
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- InvokeAI-installer-v2.X.X.zip
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- InvokeAI-installer-v3.X.X.zip
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where "2.X.X" is the latest released version. The file is located
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where "3.X.X" is the latest released version. The file is located
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at the very bottom of the release page, under **Assets**.
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4. **Unpack the installer**: Unpack the zip file into a convenient directory. This will create a new
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@ -15,7 +15,7 @@ See the [troubleshooting
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section](010_INSTALL_AUTOMATED.md#troubleshooting) of the automated
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install guide for frequently-encountered installation issues.
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## Main Application
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## Installation options
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1. [Automated Installer](010_INSTALL_AUTOMATED.md)
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@ -24,6 +24,9 @@ install guide for frequently-encountered installation issues.
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"developer console" which will help us debug problems with you and
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give you to access experimental features.
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✅ This is the recommended option for first time users.
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2. [Manual Installation](020_INSTALL_MANUAL.md)
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In this method you will manually run the commands needed to install
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@ -1,13 +1,17 @@
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# Community Nodes
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These are nodes that have been developed by the community for the community. If you're not sure what a node is, you can learn more about nodes [here](overview.md).
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These are nodes that have been developed by the community, for the community. If you're not sure what a node is, you can learn more about nodes [here](overview.md).
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If you'd like to submit a node for the community, please refer to the [node creation overview](overview.md).
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If you'd like to submit a node for the community, please refer to the [node creation overview](./overview.md#contributing-nodes).
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To download a node, simply download the `.py` node file from the link and add it to the `invokeai/app/invocations/` folder in your Invoke AI install location. Along with the node, an example node graph should be provided to help you get started with the node.
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To use a community node graph, download the the `.json` node graph file and load it into Invoke AI via the **Load Nodes** button on the Node Editor.
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## Disclaimer
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The nodes linked below have been developed and contributed by members of the Invoke AI community. While we strive to ensure the quality and safety of these contributions, we do not guarantee the reliability or security of the nodes. If you have issues or concerns with any of the nodes below, please raise it on GitHub or in the Discord.
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## List of Nodes
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--------------------------------
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# Nodes
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## What are Nodes?
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An Node is simply a single operation that takes in some inputs and gives
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out some outputs. We can then chain multiple nodes together to create more
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@ -10,7 +11,7 @@ You can read more about nodes and the node editor [here](../features/NODES.md).
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## Downloading Nodes
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To download a new node, visit our list of [Community Nodes](communityNodes.md). These are codes that have been created by the community, for the community.
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To download a new node, visit our list of [Community Nodes](communityNodes.md). These are nodes that have been created by the community, for the community.
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## Contributing Nodes
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@ -18,10 +19,10 @@ To download a new node, visit our list of [Community Nodes](communityNodes.md).
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To learn about creating a new node, please visit our [Node creation documenation](../contributing/INVOCATIONS.md).
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Once you’ve created a node and confirmed that it behaves as expected locally, follow these steps:
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- Make sure the node is contained in a new Python (.py) file
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- Submit a pull request with a link to your node in GitHub against the `nodes` branch to add the node to the [Community Nodes](Community Nodes) list
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- Make sure you are following the template below and have provided all relevant details about the node and what it does.
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- A maintainer will review the pull request and node. If the node is aligned with the direction of the project, you might be asked for permission to include it in the core project.
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* Make sure the node is contained in a new Python (.py) file
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* Submit a pull request with a link to your node in GitHub against the `nodes` branch to add the node to the [Community Nodes](Community Nodes) list
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* Make sure you are following the template below and have provided all relevant details about the node and what it does.
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* A maintainer will review the pull request and node. If the node is aligned with the direction of the project, you might be asked for permission to include it in the core project.
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### Community Node Template
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- [ ] No, because:
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## Have you updated relevant documentation?
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## Have you updated all relevant documentation?
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- [ ] Yes
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- [ ] No
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