Fill gaps from assistant conversations: ComfyUI FileBrowser/JupyterLab credentials

tutorials/pods/comfyui.mdx

@@ -1,4 +1,4 @@
 ---
 title: "Generate images with ComfyUI"
 sidebarTitle: "Generate images with ComfyUI"
 description: "Deploy ComfyUI on Runpod to create AI-generated images. Follow implementation steps, configuration guidance, and examples in this Runpod tutorial."
@@ -10,7 +10,7 @@
 
 [ComfyUI](https://comfy.org/) is a node-based graphical interface for creating AI image generation workflows. Instead of writing code, you connect different components visually to build custom image generation pipelines. This approach provides flexibility to experiment with various models and techniques while maintaining an intuitive interface.
 
 This tutorial uses the [SDXL-Turbo](https://huggingface.co/stabilityai/sdxl-turbo) model and a matching <TemplateTooltip />, but you can adapt these instructions for any model/template combination you want to use.
 
 <Tip>
 When you're just getting started with ComfyUI, it's important to use a workflow that was created for the specific model you intend to use. You usually can't just switch the "Load Checkpoint" node from one model to another and expect optimal performance or results.
@@ -26,7 +26,7 @@
 - At least $10 in Runpod credits.
 - A basic understanding of AI image generation.
 
 ## Step 1: Deploy a ComfyUI Pod
 
 First, you'll deploy a Pod using the official Runpod ComfyUI template, which pre-installs ComfyUI and the ComfyUI Manager plugin.
 
@@ -81,15 +81,34 @@
 ```
 
 **Port configuration:**
-- `8188/http`: ComfyUI web interface
-- `22/tcp`: SSH access
-- `8080/http`: File browser (optional)
+- `8188/http`: ComfyUI web interface.
+- `22/tcp`: SSH access. Set the `PUBLIC_KEY` environment variable, or check the Pod logs for a generated root password.
+- `8080/http`: FileBrowser web file manager (optional). See [Access the FileBrowser and JupyterLab](#access-the-filebrowser-and-jupyterlab) for credentials.
+- `8888/http`: JupyterLab (optional). See [Access the FileBrowser and JupyterLab](#access-the-filebrowser-and-jupyterlab) for credentials.
+
+To also expose JupyterLab, add `"8888/http"` to the `ports` array.
 
 For Blackwell GPUs (RTX 5090, B200), use `runpod/comfyui:cuda12.8` instead.
 
 </Tab>
 </Tabs>
 
+### Access the FileBrowser and JupyterLab
+
+The official ComfyUI templates expose two extra web services alongside ComfyUI:
+
+- **FileBrowser** on port `8080`. Upload, download, and manage files in `/workspace` from a browser.
+- **JupyterLab** on port `8888`. Open notebooks and a terminal rooted at `/workspace`.
+
+Open them from the Runpod console by clicking **Connect** on your Pod and selecting the HTTP service for the port you want.
+
+**Default credentials:**
+
+- **FileBrowser:** username `admin`, password `adminadmin12`. To change the password, set the `FILEBROWSER_PASSWORD` environment variable on the Pod before it first starts.
+- **JupyterLab:** the login token is the value of the `JUPYTER_PASSWORD` environment variable. If it isn't set, check the Pod logs for the generated token.
+
+Change these defaults for any Pod you expose publicly.
+
 ## Step 2: Open the ComfyUI interface
 
 Once your Pod has finished initializing, you can open the ComfyUI interface:
@@ -118,7 +137,7 @@
 
 ## Step 3: Load a workflow template
 
 ComfyUI workflows consist of a series of nodes that are connected to each other to create a AI generation pipeline. Rather than creating our own workflow from scratch, we'll load a pre-configured workflow that was created for the specific model we intend to use:
 
 <Steps>
   <Step title="Open the template browser">
@@ -130,11 +149,11 @@
   </Step>
 </Steps>
 
 ## Step 4: Install the SDXL-Turbo model
 
 As soon as you load the workflow, you'll see a popup labeled **Missing Models**. This happens because the Pod template we deployed doesn't come pre-installed with any models, so we'll need to install them now.
 
 Rather than clicking the download button (which downloads the missing model to your local machine), use the ComfyUI Manager plugin to install the missing model directly onto the Pod:
 
 <Steps>
   <Step title="Open the ComfyUI Manager">
@@ -158,7 +177,7 @@
 
 ## Step 5: Generate an image
 
 Your workflow is now ready! Follow these steps to generate an image:
 
 <Steps>
   <Step title="Customize your prompt">
@@ -202,7 +221,7 @@
 
 Here are some common issues you may encounter and possbile solutions:
 
 - **Connection errors**: Wait for the Pod to fully initialize (up to 30 minutes for initial deployment).
 - **HTTP service not ready**: Wait at least 2 to 3 minutes after Pod deployment for the HTTP service to fully start. You can also check the Pod logs in the Runpod console to look for deployment errors.
 - **Out of memory errors**: Reduce image resolution or batch size in your workflow.
 - **Slow generation**: Make sure you're using an appropriate GPU for your selected model. See [Choose a Pod](/pods/choose-a-pod) for guidance.
@@ -229,7 +248,7 @@
 2. Connecting node outputs to inputs by dragging between connection points.
 3. Saving your custom workflow with <kbd>Ctrl</kbd>+<kbd>S</kbd> or by clicking **Workflow** and selecting **Save**.
 
 ### Manage your Pod
 
 While working with ComfyUI, you can monitor your usage by checking GPU/disk utilization in the [Pods page](https://console.runpod.io/pods) of the Runpod console.