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Benjamin Berman 2023-03-27 17:10:55 -07:00
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@ -49,23 +49,45 @@ Just download, extract and run. Make sure you put your Stable Diffusion checkpoi
To run it on colab or paperspace you can use my [Colab Notebook](notebooks/comfyui_colab.ipynb) here: [Link to open with google colab](https://colab.research.google.com/github/comfyanonymous/ComfyUI/blob/master/notebooks/comfyui_colab.ipynb)
## Manual Install (Windows, Linux)
Git clone this repo.
Put your SD checkpoints (the huge ckpt/safetensors files) in: models/checkpoints
Put your VAE in: models/vae
At the time of writing this pytorch has issues with python versions higher than 3.10 so make sure your python/pip versions are 3.10.
Then, run the following command to install comfyui into your current environment:
## Manual Install (Windows, Linuxm, macOS)
1. Clone this repo:
```
git clone https://github.com/comfyanonymous/ComfyUI.git
cd ComfyUI
```
2. Put your Stable Diffusion checkpoints (the huge ckpt/safetensors files) into the `models/checkpoints` folder. You can download SD v1.5 using the following command:
```shell
curl -L https://huggingface.co/runwayml/stable-diffusion-v1-5/resolve/main/v1-5-pruned-emaonly.ckpt -o ./models/checkpoints/v1-5-pruned-emaonly.ckpt
```
3. Put your VAE into the `models/vae` folder.
4. (Optional) Create a virtual environment:
1. Create an environment:
```shell
python -m virtualenv venv
```
2. Activate it:
**Windows:**
```pwsh
Set-ExecutionPolicy Unrestricted -Scope Process
& .\venv\Scripts\activate.ps1
```
**Linux, macOS and bash/busybox64.exe on Windows:**
```shell
source ./venv/bin/activate
```
5. Then, run the following command to install `comfyui` into your current environment. This will correctly select the version of pytorch that matches the GPU on your machine (NVIDIA or CPU on Windows, NVIDIA AMD or CPU on Linux):
```shell
pip install -e .
```
This will correctly select the version of pytorch that matches the GPU on your machine (NVIDIA or CPU on Windows, NVIDIA AMD or CPU on Linux).
#### Troubleshooting