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leave a copy of environment-cuda.yml at top level
- named it environment.yml - need to avoid a big change for users and breaking older support instructions.
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@@ -13,22 +13,9 @@ one of the steps, so instead of cloning this repo, simply download the notebook
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from the link above and load it up in VSCode (with the appropriate extensions
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installed)/Jupyter/JupyterLab and start running the cells one-by-one.
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Note that you will need NVIDIA drivers, Python 3.10, and Git installed
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beforehand - simplified
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[step-by-step instructions](https://github.com/invoke-ai/InvokeAI/wiki/Easy-peasy-Windows-install)
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are available in the wiki (you'll only need steps 1, 2, & 3 ).
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Note that you will need NVIDIA drivers, Python 3.10, and Git installed beforehand.
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## **Manual Install**
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### **pip**
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See
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[Easy-peasy Windows install](https://github.com/invoke-ai/InvokeAI/wiki/Easy-peasy-Windows-install)
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in the wiki
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---
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### **Conda**
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## **Manual Install with Conda**
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1. Install Anaconda3 (miniconda3 version) from [here](https://docs.anaconda.com/anaconda/install/windows/)
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