remove requirements step from install manual

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mauwii 2023-01-28 00:58:32 +01:00
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@ -3,7 +3,9 @@ title: Installing Manually
---
<figure markdown>
# :fontawesome-brands-linux: Linux | :fontawesome-brands-apple: macOS | :fontawesome-brands-windows: Windows
</figure>
!!! warning "This is for advanced Users"
@ -64,66 +66,13 @@ manager, please follow these steps:
python -m pip install --upgrade pip
```
5. Pick the correct `requirements*.txt` file for your hardware and operating
system.
We have created a series of environment files suited for different operating
systems and GPU hardware. They are located in the
`environments-and-requirements` directory:
<figure markdown>
| filename | OS |
| :---------------------------------: | :-------------------------------------------------------------: |
| requirements-lin-amd.txt | Linux with an AMD (ROCm) GPU |
| requirements-lin-arm64.txt | Linux running on arm64 systems |
| requirements-lin-cuda.txt | Linux with an NVIDIA (CUDA) GPU |
| requirements-mac-mps-cpu.txt | Macintoshes with MPS acceleration |
| requirements-lin-win-colab-cuda.txt | Windows with an NVIDA (CUDA) GPU<br>(supports Google Colab too) |
</figure>
Select the appropriate requirements file, and make a link to it from
`requirements.txt` in the top-level InvokeAI directory. The command to do
this from the top-level directory is:
!!! example ""
=== "Macintosh and Linux"
!!! info "Replace `xxx` and `yyy` with the appropriate OS and GPU codes."
```bash
ln -sf environments-and-requirements/requirements-xxx-yyy.txt requirements.txt
```
=== "Windows"
!!! info "on Windows, admin privileges are required to make links, so we use the copy command instead"
```cmd
copy environments-and-requirements\requirements-lin-win-colab-cuda.txt requirements.txt
```
!!! warning
Please do not link or copy `environments-and-requirements/requirements-base.txt`.
This is a base requirements file that does not have the platform-specific
libraries. Also, be sure to link or copy the platform-specific file to
a top-level file named `requirements.txt` as shown here. Running pip on
a requirements file in a subdirectory will not work as expected.
When this is done, confirm that a file named `requirements.txt` has been
created in the InvokeAI root directory and that it points to the correct
file in `environments-and-requirements`.
6. Run PIP
5. Run PIP
```bash
pip --python invokeai install --use-pep517 .
```
7. Set up the runtime directory
6. Set up the runtime directory
In this step you will initialize a runtime directory that will
contain the models, model config files, directory for textual
@ -162,7 +111,7 @@ manager, please follow these steps:
prompted) and configure InvokeAI to use the previously-downloaded files. The
process for this is described in [here](050_INSTALLING_MODELS.md).
8. Run the command-line- or the web- interface:
7. Run the command-line- or the web- interface:
Activate the environment (with `source invokeai/bin/activate`), and then
run the script `invoke.py`. If you selected a non-default location
@ -198,7 +147,7 @@ manager, please follow these steps:
You can permanently set the location of the runtime directory by setting the environment variable INVOKEAI_ROOT to the path of the directory.
9. Render away!
8. Render away!
Browse the [features](../features/CLI.md) section to learn about all the things you
can do with InvokeAI.
@ -208,7 +157,7 @@ manager, please follow these steps:
time you try to generate an image. Fortunately, after the warm-up period
rendering will be fast.
10. Subsequently, to relaunch the script, be sure to enter `InvokeAI` directory,
9. Subsequently, to relaunch the script, be sure to enter `InvokeAI` directory,
activate the virtual environment, and then launch `invoke.py` script.
If you forget to activate the virtual environment,
the script will fail with multiple `ModuleNotFound` errors.