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Change to InvokeAI git repo and folder names

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bsilvereagle 2022-09-26 01:02:21 -04:00 committed by Lincoln Stein
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docs/installation/INSTALL_WINDOWS.md
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@ -39,19 +39,18 @@ in the wiki
4. Run the command: 4. Run the command:
```batch ```bash
git clone https://github.com/invoke-ai/InvokeAI.git git clone https://github.com/invoke-ai/InvokeAI.git
``` ```
This will create stable-diffusion folder where you will follow the rest of This will create stable-diffusion folder where you will follow the rest of
the steps. the steps.
5. Enter the newly-created stable-diffusion folder. From this step forward make 5. Enter the newly-created InvokeAI folder. From this step forward make sure that you are working in the InvokeAI directory!
sure that you are working in the stable-diffusion directory!
```batch ```
cd stable-diffusion cd InvokeAI
``` ```
6. Run the following two commands: 6. Run the following two commands:
@ -65,7 +64,7 @@ in the wiki
7. Run the command: 7. Run the command:
```batch ```bash
python scripts\preload_models.py python scripts\preload_models.py
``` ```
@ -77,33 +76,27 @@ in the wiki
8. Now you need to install the weights for the big stable diffusion model. 8. Now you need to install the weights for the big stable diffusion model.
- For running with the released weights, you will first need to set up an - For running with the released weights, you will first need to set up an acount with Hugging Face (https://huggingface.co).
acount with [Hugging Face](https://huggingface.co). - Use your credentials to log in, and then point your browser at https://huggingface.co/CompVis/stable-diffusion-v-1-4-original.
- Use your credentials to log in, and then point your browser at - You may be asked to sign a license agreement at this point.
[https://huggingface.co/CompVis/stable-diffusion-v-1-4-original](https://huggingface.co/CompVis/stable-diffusion-v-1-4-original). - Click on "Files and versions" near the top of the page, and then click on the file named `sd-v1-4.ckpt`. You'll be taken to a page that
- You may be asked to sign a license agreement at this point. prompts you to click the "download" link. Now save the file somewhere safe on your local machine.
- Click on "Files and versions" near the top of the page, and then click on - The weight file is >4 GB in size, so
the file named `sd-v1-4.ckpt`. You'll be taken to a page that prompts you downloading may take a while.
to click the "download" link. Now save the file somewhere safe on your
local machine.
- The weight file is >4 GB in size, so downloading may take a while.
Now run the following commands from **within the stable-diffusion directory** Now run the following commands from **within the InvokeAI directory** to copy the weights file to the right place:
to copy the weights file to the right place:
```batch ```
mkdir -p models\ldm\stable-diffusion-v1 mkdir -p models\ldm\stable-diffusion-v1
copy C:\path\to\sd-v1-4.ckpt models\ldm\stable-diffusion-v1\model.ckpt copy C:\path\to\sd-v1-4.ckpt models\ldm\stable-diffusion-v1\model.ckpt
``` ```
Please replace `C:\path\to\sd-v1.4.ckpt` with the correct path to wherever Please replace `C:\path\to\sd-v1.4.ckpt` with the correct path to wherever you stashed this file. If you prefer not to copy or move the .ckpt file,
you stashed this file. If you prefer not to copy or move the .ckpt file, you you may instead create a shortcut to it from within `models\ldm\stable-diffusion-v1\`.
may instead create a shortcut to it from within
`models\ldm\stable-diffusion-v1\`.
9. Start generating images! 9. Start generating images!
```batch ```bash
# for the pre-release weights # for the pre-release weights
python scripts\dream.py -l python scripts\dream.py -l
@ -111,10 +104,7 @@ in the wiki
python scripts\dream.py python scripts\dream.py
``` ```
10. Subsequently, to relaunch the script, first activate the Anaconda command 10. Subsequently, to relaunch the script, first activate the Anaconda command window (step 3),enter the InvokeAI directory (step 5, `cd \path\to\InvokeAI`), run `conda activate ldm` (step 6b), and then launch the dream script (step 9).
window (step 3),enter the stable-diffusion directory (step 5,
`cd \path\to\stable-diffusion`), run `conda activate ldm` (step 6b), and
then launch the dream script (step 9).
**Note:** Tildebyte has written an alternative **Note:** Tildebyte has written an alternative
["Easy peasy Windows install"](https://github.com/invoke-ai/InvokeAI/wiki/Easy-peasy-Windows-install) ["Easy peasy Windows install"](https://github.com/invoke-ai/InvokeAI/wiki/Easy-peasy-Windows-install)
@ -123,14 +113,14 @@ in the wiki
--- ---
## Updating to newer versions of the script 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:
This distribution is changing rapidly. If you used the `git clone` method 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 (step 5) to download the stable-diffusion directory, then to update to the
latest and greatest version, launch the Anaconda window, enter latest and greatest version, launch the Anaconda window, enter
`stable-diffusion`, and type: `stable-diffusion`, and type:
```batch ```bash
git pull git pull
conda env update -f environment.yaml conda env update -f environment.yaml
``` ```