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remove requirements step from install manual
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@ -3,7 +3,9 @@ title: Installing Manually
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---
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<figure markdown>
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# :fontawesome-brands-linux: Linux | :fontawesome-brands-apple: macOS | :fontawesome-brands-windows: Windows
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</figure>
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!!! warning "This is for advanced Users"
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@ -64,66 +66,13 @@ manager, please follow these steps:
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python -m pip install --upgrade pip
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```
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5. Pick the correct `requirements*.txt` file for your hardware and operating
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system.
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We have created a series of environment files suited for different operating
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systems and GPU hardware. They are located in the
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`environments-and-requirements` directory:
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<figure markdown>
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| filename | OS |
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| :---------------------------------: | :-------------------------------------------------------------: |
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| requirements-lin-amd.txt | Linux with an AMD (ROCm) GPU |
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| requirements-lin-arm64.txt | Linux running on arm64 systems |
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| requirements-lin-cuda.txt | Linux with an NVIDIA (CUDA) GPU |
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| requirements-mac-mps-cpu.txt | Macintoshes with MPS acceleration |
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| requirements-lin-win-colab-cuda.txt | Windows with an NVIDA (CUDA) GPU<br>(supports Google Colab too) |
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</figure>
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Select the appropriate requirements file, and make a link to it from
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`requirements.txt` in the top-level InvokeAI directory. The command to do
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this from the top-level directory is:
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!!! example ""
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=== "Macintosh and Linux"
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!!! info "Replace `xxx` and `yyy` with the appropriate OS and GPU codes."
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```bash
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ln -sf environments-and-requirements/requirements-xxx-yyy.txt requirements.txt
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```
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=== "Windows"
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!!! info "on Windows, admin privileges are required to make links, so we use the copy command instead"
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```cmd
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copy environments-and-requirements\requirements-lin-win-colab-cuda.txt requirements.txt
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```
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!!! warning
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Please do not link or copy `environments-and-requirements/requirements-base.txt`.
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This is a base requirements file that does not have the platform-specific
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libraries. Also, be sure to link or copy the platform-specific file to
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a top-level file named `requirements.txt` as shown here. Running pip on
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a requirements file in a subdirectory will not work as expected.
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When this is done, confirm that a file named `requirements.txt` has been
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created in the InvokeAI root directory and that it points to the correct
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file in `environments-and-requirements`.
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6. Run PIP
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5. Run PIP
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```bash
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pip --python invokeai install --use-pep517 .
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```
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7. Set up the runtime directory
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6. Set up the runtime directory
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In this step you will initialize a runtime directory that will
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contain the models, model config files, directory for textual
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@ -162,7 +111,7 @@ manager, please follow these steps:
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prompted) and configure InvokeAI to use the previously-downloaded files. The
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process for this is described in [here](050_INSTALLING_MODELS.md).
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8. Run the command-line- or the web- interface:
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7. Run the command-line- or the web- interface:
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Activate the environment (with `source invokeai/bin/activate`), and then
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run the script `invoke.py`. If you selected a non-default location
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@ -198,7 +147,7 @@ manager, please follow these steps:
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You can permanently set the location of the runtime directory by setting the environment variable INVOKEAI_ROOT to the path of the directory.
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9. Render away!
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8. Render away!
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Browse the [features](../features/CLI.md) section to learn about all the things you
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can do with InvokeAI.
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@ -208,7 +157,7 @@ manager, please follow these steps:
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time you try to generate an image. Fortunately, after the warm-up period
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rendering will be fast.
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10. Subsequently, to relaunch the script, be sure to enter `InvokeAI` directory,
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9. Subsequently, to relaunch the script, be sure to enter `InvokeAI` directory,
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activate the virtual environment, and then launch `invoke.py` script.
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If you forget to activate the virtual environment,
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the script will fail with multiple `ModuleNotFound` errors.
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