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linux instructions update to /InvokeAI folder name

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techicode 2022-09-21 03:18:47 -03:00 committed by Lincoln Stein
parent 893bdca0a8
commit a1739a73b4
1 changed files with 18 additions and 18 deletions
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docs/installation/INSTALL_LINUX.md
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@ -16,27 +16,27 @@
After installing anaconda, you should log out of your system and log back in. If the installation
worked, your command prompt will be prefixed by the name of the current anaconda environment - `(base)`.
3. Copy the stable-diffusion source code from GitHub:
3. Copy the InvokeAI source code from GitHub:
```
(base) ~$ git clone https://github.com/lstein/stable-diffusion.git
(base) ~$ git clone https://github.com/invoke-ai/InvokeAI.git
```
This will create stable-diffusion folder where you will follow the rest of the steps.
This will create InvokeAI folder where you will follow the rest of the steps.
4. Enter the newly-created stable-diffusion folder. From this step forward make sure that you are working in the stable-diffusion directory!
4. Enter the newly-created InvokeAI folder. From this step forward make sure that you are working in the InvokeAI directory!
```
(base) ~$ cd stable-diffusion
(base) ~/stable-diffusion$
(base) ~$ cd InvokeAI
(base) ~/InvokeAI$
```
5. Use anaconda to copy necessary python packages, create a new python environment named `ldm` and activate the environment.
```
(base) ~/stable-diffusion$ conda env create -f environment.yaml
(base) ~/stable-diffusion$ conda activate ldm
(ldm) ~/stable-diffusion$
(base) ~/InvokeAI$ conda env create -f environment.yaml
(base) ~/InvokeAI$ conda activate ldm
(ldm) ~/InvokeAI$
```
After these steps, your command prompt will be prefixed by `(ldm)` as shown above.
@ -44,7 +44,7 @@ After these steps, your command prompt will be prefixed by `(ldm)` as shown abov
6. Load a couple of small machine-learning models required by stable diffusion:
```
(ldm) ~/stable-diffusion$ python3 scripts/preload_models.py
(ldm) ~/InvokeAI$ python3 scripts/preload_models.py
```
Note that this step is necessary because I modified the original just-in-time model loading scheme to allow the script to work on GPU machines that are not internet connected. See [Preload Models](../features/OTHER.md#preload-models)
@ -59,31 +59,31 @@ Note that this step is necessary because I modified the original just-in-time mo
Now run the following commands from within the stable-diffusion directory. This will create a symbolic link from the stable-diffusion model.ckpt file, to the true location of the sd-v1-4.ckpt file.
```
(ldm) ~/stable-diffusion$ mkdir -p models/ldm/stable-diffusion-v1
(ldm) ~/stable-diffusion$ ln -sf /path/to/sd-v1-4.ckpt models/ldm/stable-diffusion-v1/model.ckpt
(ldm) ~/InvokeAI$ mkdir -p models/ldm/stable-diffusion-v1
(ldm) ~/InvokeAI$ ln -sf /path/to/sd-v1-4.ckpt models/ldm/stable-diffusion-v1/model.ckpt
```
8. Start generating images!
```
# for the pre-release weights use the -l or --liaon400m switch
(ldm) ~/stable-diffusion$ python3 scripts/dream.py -l
(ldm) ~/InvokeAI$ python3 scripts/dream.py -l
# for the post-release weights do not use the switch
(ldm) ~/stable-diffusion$ python3 scripts/dream.py
(ldm) ~/InvokeAI$ python3 scripts/dream.py
# for additional configuration switches and arguments, use -h or --help
(ldm) ~/stable-diffusion$ python3 scripts/dream.py -h
(ldm) ~/InvokeAI$ python3 scripts/dream.py -h
```
9. Subsequently, to relaunch the script, be sure to run "conda activate ldm" (step 5, second command), enter the `stable-diffusion` directory, and then launch the dream script (step 8). If you forget to activate the ldm environment, the script will fail with multiple `ModuleNotFound` errors.
9. Subsequently, to relaunch the script, be sure to run "conda activate ldm" (step 5, second command), enter the `InvokeAI` directory, and then launch the dream script (step 8). If you forget to activate the ldm environment, the script will fail with multiple `ModuleNotFound` errors.
### Updating to newer versions of the script
This distribution is changing rapidly. If you used the `git clone` method (step 5) to download the stable-diffusion directory, then to update to the latest and greatest version, launch the Anaconda window, enter `stable-diffusion` and type:
This distribution is changing rapidly. If you used the `git clone` method (step 5) to download the InvokeAI directory, then to update to the latest and greatest version, launch the Anaconda window, enter `InvokeAI` and type:
```
(ldm) ~/stable-diffusion$ git pull
(ldm) ~/InvokeAI$ git pull
```
This will bring your local copy into sync with the remote one.