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docs: update installation docs
Remove/edit references to configure script.
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@ -122,9 +122,9 @@ 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-v3.X.X.zip
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- InvokeAI-installer-v4.X.X.zip
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where "3.X.X" is the latest released version. The file is located
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where "4.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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@ -199,136 +199,7 @@ experimental versions later.
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![initial-settings-screenshot](../assets/installer-walkthrough/settings-form.png)
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</figure>
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10. **Post-install Configuration**: After installation completes, the
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installer will launch the configuration form, which will guide you
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through the first-time process of adjusting some of InvokeAI's
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startup settings. To move around this form use ctrl-N for
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<N>ext and ctrl-P for <P>revious, or use <tab>
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and shift-<tab> to move forward and back. Once you are in a
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multi-checkbox field use the up and down cursor keys to select the
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item you want, and <space> to toggle it on and off. Within
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a directory field, pressing <tab> will provide autocomplete
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options.
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Generally the defaults are fine, and you can come back to this screen at
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any time to tweak your system. Here are the options you can adjust:
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- ***HuggingFace Access Token***
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InvokeAI has the ability to download embedded styles and subjects
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from the HuggingFace Concept Library on-demand. However, some of
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the concept library files are password protected. To make download
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smoother, you can set up an account at huggingface.co, obtain an
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access token, and paste it into this field. Note that you paste
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to this screen using ctrl-shift-V
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- ***Free GPU memory after each generation***
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This is useful for low-memory machines and helps minimize the
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amount of GPU VRAM used by InvokeAI.
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- ***Enable xformers support if available***
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If the xformers library was successfully installed, this will activate
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it to reduce memory consumption and increase rendering speed noticeably.
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Note that xformers has the side effect of generating slightly different
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images even when presented with the same seed and other settings.
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- ***Force CPU to be used on GPU systems***
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This will use the (slow) CPU rather than the accelerated GPU. This
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can be used to generate images on systems that don't have a compatible
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GPU.
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- ***Precision***
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This controls whether to use float32 or float16 arithmetic.
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float16 uses less memory but is also slightly less accurate.
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Ordinarily the right arithmetic is picked automatically ("auto"),
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but you may have to use float32 to get images on certain systems
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and graphics cards. The "autocast" option is deprecated and
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shouldn't be used unless you are asked to by a member of the team.
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- **Size of the RAM cache used for fast model switching***
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This allows you to keep models in memory and switch rapidly among
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them rather than having them load from disk each time. This slider
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controls how many models to keep loaded at once. A typical SD-1 or SD-2 model
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uses 2-3 GB of memory. A typical SDXL model uses 6-7 GB. Providing more
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RAM will allow more models to be co-resident.
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- ***Output directory for images***
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This is the path to a directory in which InvokeAI will store all its
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generated images.
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- ***Autoimport Folder***
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This is the directory in which you can place models you have
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downloaded and wish to load into InvokeAI. You can place a variety
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of models in this directory, including diffusers folders, .ckpt files,
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.safetensors files, as well as LoRAs, ControlNet and Textual Inversion
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files (both folder and file versions). To help organize this folder,
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you can create several levels of subfolders and drop your models into
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whichever ones you want.
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- ***LICENSE***
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At the bottom of the screen you will see a checkbox for accepting
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the CreativeML Responsible AI Licenses. You need to accept the license
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in order to download Stable Diffusion models from the next screen.
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_You can come back to the startup options form_ as many times as you like.
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From the `invoke.sh` or `invoke.bat` launcher, select option (6) to relaunch
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this script. On the command line, it is named `invokeai-configure`.
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11. **Downloading Models**: After you press `[NEXT]` on the screen, you will be taken
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to another screen that prompts you to download a series of starter models. The ones
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we recommend are preselected for you, but you are encouraged to use the checkboxes to
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pick and choose.
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You will probably wish to download `autoencoder-840000` for use with models that
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were trained with an older version of the Stability VAE.
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<figure markdown>
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![select-models-screenshot](../assets/installer-walkthrough/installing-models.png)
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</figure>
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Below the preselected list of starter models is a large text field which you can use
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to specify a series of models to import. You can specify models in a variety of formats,
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each separated by a space or newline. The formats accepted are:
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- The path to a .ckpt or .safetensors file. On most systems, you can drag a file from
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the file browser to the textfield to automatically paste the path. Be sure to remove
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extraneous quotation marks and other things that come along for the ride.
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- The path to a directory containing a combination of `.ckpt` and `.safetensors` files.
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The directory will be scanned from top to bottom (including subfolders) and any
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file that can be imported will be.
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- A URL pointing to a `.ckpt` or `.safetensors` file. You can cut
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and paste directly from a web page, or simply drag the link from the web page
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or navigation bar. (You can also use ctrl-shift-V to paste into this field)
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The file will be downloaded and installed.
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- The HuggingFace repository ID (repo_id) for a `diffusers` model. These IDs have
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the format _author_name/model_name_, as in `andite/anything-v4.0`
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- The path to a local directory containing a `diffusers`
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model. These directories always have the file `model_index.json`
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at their top level.
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_Select a directory for models to import_ You may select a local
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directory for autoimporting at startup time. If you select this
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option, the directory you choose will be scanned for new
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.ckpt/.safetensors files each time InvokeAI starts up, and any new
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files will be automatically imported and made available for your
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use.
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_Convert imported models into diffusers_ When legacy checkpoint
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files are imported, you may select to use them unmodified (the
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default) or to convert them into `diffusers` models. The latter
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load much faster and have slightly better rendering performance,
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but not all checkpoint files can be converted. Note that Stable Diffusion
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Version 2.X files are **only** supported in `diffusers` format and will
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be converted regardless.
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_You can come back to the model install form_ as many times as you like.
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From the `invoke.sh` or `invoke.bat` launcher, select option (5) to relaunch
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this script. On the command line, it is named `invokeai-model-install`.
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12. **Running InvokeAI for the first time**: The script will now exit and you'll be ready to generate some images. Look
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10. **Running InvokeAI for the first time**: The script will now exit and you'll be ready to generate some images. Look
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for the directory `invokeai` installed in the location you chose at the
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beginning of the install session. Look for a shell script named `invoke.sh`
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(Linux/Mac) or `invoke.bat` (Windows). Launch the script by double-clicking
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@ -349,14 +220,14 @@ experimental versions later.
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http://localhost:9090. Click on this link to open up a browser
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and start exploring InvokeAI's features.
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12. **InvokeAI Options**: You can launch InvokeAI with several different command-line arguments that
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customize its behavior. For example, you can change the location of the
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12. **InvokeAI Options**: You can configure using the `invokeai.yaml` config file.
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For example, you can change the location of the
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image output directory or balance memory usage vs performance. See
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[Configuration](../features/CONFIGURATION.md) for a full list of the options.
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- To set defaults that will take effect every time you launch InvokeAI,
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use a text editor (e.g. Notepad) to exit the file
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`invokeai\invokeai.init`. It contains a variety of examples that you can
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`invokeai\invokeai.yaml`. It contains a variety of examples that you can
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follow to add and modify launch options.
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- The launcher script also offers you an option labeled "open the developer
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@ -394,7 +265,6 @@ rm .\.venv -r -force
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python -mvenv .venv
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.\.venv\Scripts\activate
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pip install invokeai
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invokeai-configure --yes --root .
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```
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If you see anything marked as an error during this process please stop
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@ -426,16 +296,10 @@ error messages:
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This failure mode occurs when there is a network glitch during
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downloading the very large SDXL model.
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To address this, first go to the Web Model Manager and delete the
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Stable-Diffusion-XL-base-1.X model. Then navigate to HuggingFace and
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manually download the .safetensors version of the model. The 1.0
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version is located at
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https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0/tree/main
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and the file is named `sd_xl_base_1.0.safetensors`.
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Save this file to disk and then reenter the Model Manager. Navigate to
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Import Models->Add Model, then type (or drag-and-drop) the path to the
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.safetensors file. Press "Add Model".
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To address this, first go to the Model Manager and delete the
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Stable-Diffusion-XL-base-1.X model. Then, click the HuggingFace tab,
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paste the Repo ID stabilityai/stable-diffusion-xl-base-1.0 and install
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the model.
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### _Package dependency conflicts_
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@ -488,15 +352,7 @@ download models, etc), but this doesn't fix the problem.
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This issue is often caused by a misconfigured configuration directive in the
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`invokeai\invokeai.init` initialization file that contains startup settings. The
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easiest way to fix the problem is to move the file out of the way and re-run
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`invokeai-configure`. Enter the developer's console (option 3 of the launcher
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script) and run this command:
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```cmd
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invokeai-configure --root=.
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```
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Note the dot (.) after `--root`. It is part of the command.
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easiest way to fix the problem is to move the file out of the way and restart the app.
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_If none of these maneuvers fixes the problem_ then please report the problem to
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the [InvokeAI Issues](https://github.com/invoke-ai/InvokeAI/issues) section, or
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@ -565,16 +421,4 @@ This distribution is changing rapidly, and we add new features
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regularly. Releases are announced at
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http://github.com/invoke-ai/InvokeAI/releases, and at
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https://pypi.org/project/InvokeAI/ To update to the latest released
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version (recommended), follow these steps:
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1. Start the `invoke.sh`/`invoke.bat` launch script from within the
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`invokeai` root directory.
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2. Choose menu item (10) "Update InvokeAI".
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3. This will launch a menu that gives you the option of:
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1. Updating to the latest official release;
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2. Updating to the bleeding-edge development version; or
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3. Manually entering the tag or branch name of a version of
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InvokeAI you wish to try out.
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version (recommended), download the latest release and run the installer.
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@ -26,7 +26,7 @@ driver).
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🖥️ **Download the latest installer .zip file here** : https://github.com/invoke-ai/InvokeAI/releases/latest
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- *Look for the file labelled "InvokeAI-installer-v3.X.X.zip" at the bottom of the page*
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- *Look for the file labelled "InvokeAI-installer-v4.X.X.zip" at the bottom of the page*
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- If you experience issues, read through the full [installation instructions](010_INSTALL_AUTOMATED.md) to make sure you have met all of the installation requirements. If you need more help, join the [Discord](discord.gg/invoke-ai) or create an issue on [Github](https://github.com/invoke-ai/InvokeAI).
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