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update installation instructions

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mauwii 2023-01-19 03:44:00 +01:00
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8
docs/installation/020_INSTALL_MANUAL.md
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@ -119,10 +119,8 @@ manager, please follow these steps:
6. Run PIP
Be sure that the `invokeai` environment is active before doing this:
```bash
pip install --prefer-binary -r requirements.txt
pip --python invokeai install --use-pep517 .
```
7. Set up the runtime directory
@ -137,7 +135,7 @@ manager, please follow these steps:
default to `invokeai` in your home directory.
```bash
configure_invokeai.py --root_dir ~/Programs/invokeai
configure_invokeai --root_dir ~/Programs/invokeai
```
The script `configure_invokeai.py` will interactively guide you through the
@ -452,7 +450,7 @@ time. Note that this method only works with the PIP method.
step.
3. Run one additional step while you are in the source code repository
directory `pip install .` (note the dot at the end).
directory `pip install --use-pep517 .` (note the dot at the end).
4. That's all! Now, whenever you activate the virtual environment,
`invoke.py` will know where to look for the runtime directory without

23
docs/installation/060_INSTALL_PATCHMATCH.md
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@ -18,7 +18,13 @@ Windows systems with no extra intervention.
## Macintosh
PyPatchMatch is not currently supported, but the team is working on it.
You need to have opencv installed so that pypatchmatch can be built:
```bash
brew install opencv
```
The next time you start `invoke`, after sucesfully installing opencv, pypatchmatch will be built.
## Linux
@ -39,23 +45,16 @@ Prior to installing PyPatchMatch, you need to take the following steps:
sudo apt install python3-opencv libopencv-dev
```
3. Fix the naming of the `opencv` package configuration file:
```sh
cd /usr/lib/x86_64-linux-gnu/pkgconfig/
ln -sf opencv4.pc opencv.pc
```
4. Activate the environment you use for invokeai, either with `conda` or with a
3. Activate the environment you use for invokeai, either with `conda` or with a
virtual environment.
5. Install pypatchmatch:
4. Install pypatchmatch:
```sh
pip install "git+https://github.com/invoke-ai/PyPatchMatch@0.1.3#egg=pypatchmatch"
pip install pypatchmatch
```
6. Confirm that pypatchmatch is installed. At the command-line prompt enter
5. Confirm that pypatchmatch is installed. At the command-line prompt enter
`python`, and then at the `>>>` line type
`from patchmatch import patch_match`: It should look like the follwing:

59
docs/installation/INSTALL_MANUAL.md
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@ -254,65 +254,10 @@ steps:
source invokeai/bin/activate
```
4. 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`.
5. Run PIP
Be sure that the `invokeai` environment is active before doing this:
4. Run PIP
```bash
pip install --prefer-binary -r requirements.txt
pip --python invokeai install --use-pep517 .
```
---