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fix nubered list and codeblocks in INSTALL_WINDOWS
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@ -39,7 +39,7 @@ in the wiki
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4. Run the command:
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```bash
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```batch
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git clone https://github.com/invoke-ai/InvokeAI.git
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```
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@ -48,16 +48,20 @@ in the wiki
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5. Enter the newly-created InvokeAI folder. From this step forward make sure that you are working in the InvokeAI directory!
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```
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cd InvokeAI
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```
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```batch
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cd InvokeAI
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```
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6. Run the following two commands:
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```
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conda env create (step 6a)
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conda activate invokeai (step 6b)
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```
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```batch title="step 6a"
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conda env create
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```
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```batch title="step 6b"
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conda activate invokeai
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```
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This will install all python requirements and activate the "invokeai" environment
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which sets PATH and other environment variables properly.
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@ -67,7 +71,7 @@ conda activate invokeai (step 6b)
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7. Run the command:
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```bash
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```batch
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python scripts\preload_models.py
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```
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@ -79,45 +83,44 @@ conda activate invokeai (step 6b)
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8. Now you need to install the weights for the big stable diffusion model.
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- For running with the released weights, you will first need to set up an acount with Hugging Face (https://huggingface.co).
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- Use your credentials to log in, and then point your browser at https://huggingface.co/CompVis/stable-diffusion-v-1-4-original.
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- You may be asked to sign a license agreement at this point.
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- 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
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1. For running with the released weights, you will first need to set up an acount with Hugging Face (https://huggingface.co).
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2. Use your credentials to log in, and then point your browser at https://huggingface.co/CompVis/stable-diffusion-v-1-4-original.
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3. You may be asked to sign a license agreement at this point.
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4. 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
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prompts you to click the "download" link. Now save the file somewhere safe on your local machine.
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- The weight file is >4 GB in size, so
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5. The weight file is >4 GB in size, so
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downloading may take a while.
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Now run the following commands from **within the InvokeAI directory** to copy the weights file to the right place:
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Now run the following commands from **within the InvokeAI directory** to copy the weights file to the right place:
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```
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mkdir -p models\ldm\stable-diffusion-v1
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copy C:\path\to\sd-v1-4.ckpt models\ldm\stable-diffusion-v1\model.ckpt
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```
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```batch
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mkdir -p models\ldm\stable-diffusion-v1
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copy C:\path\to\sd-v1-4.ckpt models\ldm\stable-diffusion-v1\model.ckpt
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```
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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,
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you may instead create a shortcut to it from within `models\ldm\stable-diffusion-v1\`.
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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,
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you may instead create a shortcut to it from within `models\ldm\stable-diffusion-v1\`.
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9. Start generating images!
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```bash
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# for the pre-release weights
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```batch title="for the pre-release weights"
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python scripts\invoke.py -l
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```
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# for the post-release weights
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```batch title="for the post-release weights"
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python scripts\invoke.py
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```
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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 invokeai` (step 6b), and then launch the invoke script (step 9).
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**Note:** Tildebyte has written an alternative
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!!! tip "Tildebyte has written an alternative"
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["Easy peasy Windows install"](https://github.com/invoke-ai/InvokeAI/wiki/Easy-peasy-Windows-install)
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which uses the Windows Powershell and pew. If you are having trouble with
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Anaconda on Windows, give this a try (or try it first!)
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---
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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:
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This distribution is changing rapidly. If you used the `git clone` method
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(step 5) to download the stable-diffusion directory, then to update to the
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latest and greatest version, launch the Anaconda window, enter
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