From 1458d24cc324b9bff8f5effda20d467b816e2f97 Mon Sep 17 00:00:00 2001 From: Robert Wojciechowski Date: Mon, 28 Jul 2025 16:03:37 +1000 Subject: [PATCH] Update worker-setup-guides.md --- docs/worker-setup-guides.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/docs/worker-setup-guides.md b/docs/worker-setup-guides.md index b4633e3..4f37f46 100644 --- a/docs/worker-setup-guides.md +++ b/docs/worker-setup-guides.md @@ -39,10 +39,10 @@ 1. Register a [Runpod](https://get.runpod.io/0bw29uf3ug0p) account. 2. On Runpod, go to Storage > New Network Volume and create a volume which will store the models you need. 3. Now go to Pods and find a suitable GPU for your workflows. -> To use the ComfyUI-Distributed-Pod, you will need to filter instances by CUDA 12.8. +> To use the ComfyUI-Distributed-Pod template, you will need to filter instances by CUDA 12.8. 4. Choose the `ComfyUI-Distributed-Pod` template and make sure your network drive is mounted. 5. Launch your pod. -6. Access your pod using JupyterLab. +6. Access your pod using JupyterLabs. 7. Download models into /workspaces/ComfyUI/models/ (these will remain on your network drive even after you terminate the pod). > You can use [this guide](model-download-script.md) to make this process easy for you. It will generate a shell script that will automatically download the models you need for a given workflow. 8. If using your own template, make sure you launch ComfyUI with the `--enable-cors-header` argument and you git clone ComfyUI-Distributed into custom_nodes. ⚠️ **Required!**