chore: Regenerate all playbooks

nvidia/comfy-ui/README.md

@@ -13,19 +13,16 @@
 
 ## Basic idea
 
-ComfyUI is a visual, node-based interface for AI image generation.  
-Each step—like loading a model, adding text, sampling, or saving an image—is a node you connect with wires to form a workflow.  
-Workflows can be saved and shared as JSON files, making results easy to reproduce.  
-It’s flexible, letting you swap models, add effects, or combine tools, and it’s popular for Stable Diffusion because it gives precise control without needing to write code.  
-Think of it like building with LEGO blocks, but for AI image pipelines.
-
+ComfyUI is an open-source web server application for AI image generation using diffusion based models like SDXL, Flux and others.
+It has a browser-based UI that lets you create, edit and run image generation and editing workflows with multiple steps.
+Generation and editing steps (e.g. loading a model, adding text or sampling) are configurable in the UI as a node, and you connect nodes with wires to form a workflow.  
+Workflows are saved as JSON files, so you can version them for future work, collaboration and reproducibility.
 
+ComfyUI uses the host's GPU for inference, so you can install it on your Spark and do all of your image generation and editing directly on device.  
 
 ## What you'll accomplish
 
-You'll install and configure ComfyUI, a powerful node-based GUI for Stable Diffusion, on NVIDIA Spark 
-devices with Blackwell architecture. By the end, you'll have a fully functional web interface accessible 
-via browser for AI image generation workloads.
+You'll install and configure ComfyUI on your NVIDIA DGX Spark device so you can use the unified memory to work with large models.
 
 ## What to know before starting
 
@@ -70,6 +67,10 @@ All required assets can be found [in the ComfyUI repository on GitHub](https://g
 **Rollback:** Virtual environment can be deleted to remove all installed packages. Downloaded models 
 can be removed manually from the checkpoints directory.
 
+## Get Started
+
+- Follow the steps on the [Instruction tab](/instructions) to get Comfy installed directly on the Spark
+
 ## Instructions
 
 ## Step 1. Verify system prerequisites
@@ -87,7 +88,7 @@ Expected output should show Python 3.8+, pip available, CUDA toolkit, and GPU de
 
 ## Step 2. Create Python virtual environment
 
-Create an isolated environment to avoid conflicts with system packages. This runs on the host system.
+You will install ComfyUI on your host system, so you should create an isolated environment to avoid conflicts with system packages.
 
 ```bash
 python3 -m venv comfyui-env
@@ -159,7 +160,7 @@ Expected output should show HTTP 200 response indicating the web server is opera
 
 Open a web browser and navigate to `http://<SPARK_IP>:8188` where `<SPARK_IP>` is your device's IP address.
 
-## Step 9. Troubleshooting
+## Step 9. Optional - Troubleshooting
 
 | Symptom | Cause | Fix |
 |---------|-------|-----|
@@ -168,7 +169,7 @@ Open a web browser and navigate to `http://<SPARK_IP>:8188` where `<SPARK_IP>` i
 | Web interface inaccessible | Firewall blocking port 8188 | Configure firewall to allow port 8188, check IP address |
 | Out of GPU memory errors | Insufficient VRAM for model | Use smaller models or enable CPU fallback mode |
 
-## Step 10. Cleanup and rollback
+## Step 10. Optional - Cleanup and rollback
 
 If you need to remove the installation completely, follow these steps:
 
@@ -182,7 +183,7 @@ rm -rf ComfyUI/
 
 To rollback during installation, press `Ctrl+C` to stop the server and remove the virtual environment.
 
-## Step 11. Next steps
+## Step 11. Optional - Next steps
 
 Test the installation with a basic image generation workflow: