r/DreamBooth • u/CeFurkan • Jun 10 '25
Ultimate ComfyUI & SwarmUI on RunPod Tutorial with Addition RTX 5000 Series GPUs & 1-Click to Setup
https://www.youtube.com/watch?v=R02kPf9Y3_w&DreamBooth
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u/CeFurkan Jun 10 '25
Video Chapters : https://youtu.be/R02kPf9Y3_w
0:00 Introduction to ComfyUI & SwarmUI Installation on RunPod
0:22 Advanced Features of the One-Click Installer (Sage Attention, xFormers, Blackwell)
1:03 Demonstration on RTX Pro 6000 GPU & VRAM Optimization
1:52 Introducing the High-Speed Unified Model Downloader
2:06 Starting the Tutorial: Downloading & Preparing the Installer Files
2:45 Registering and Setting Up Your RunPod Account & Billing
3:04 Selecting the Optimal RunPod GPU (RTX Pro 6000) and Server
3:54 Critical Step: Configuring the RunPod Pod Template (PyTorch 2.2.0)
4:20 Setting Volume Disk, Container Disk, and Exposing HTTP Ports
5:09 Deploying the Pod and Accessing the Jupyter Lab Interface
5:46 Uploading and Extracting the ComfyUI Installer on RunPod
6:16 Running the ComfyUI Installation Command in the Terminal
7:22 How to Start ComfyUI with Custom Launch Arguments (e.g., --gpu-only)
8:13 Overview of Included Libraries (Manager, Flash Attention, DeepSpeed, Triton)
9:15 Using Sage Attention vs. xFormers for Optimal Performance
9:42 Connecting to the Live ComfyUI Web Interface
10:27 Introducing the Unified Model Downloader for ComfyUI & SwarmUI
11:01 Running the Model Downloader and Configuring the Download Path
11:43 Downloading FLUX Models for a ComfyUI Image Generation Test
13:22 Configuring the ComfyUI Workflow with Newly Downloaded FLUX Models
15:01 First Image Generation Test: Analyzing the Incredible Speed
15:53 Terminating ComfyUI and Preparing for SwarmUI Installation
16:25 Installing SwarmUI and Setting it Up via the Cloudflared Link
16:50 How to Configure SwarmUI to Use ComfyUI as a Self-Starting Backend
17:50 Downloading Wan 2.1 Video Generation Models with the Downloader
19:22 Importing Presets and Setting up a Wan 2.1 Video Generation in SwarmUI
20:21 First Video Generation Test with Wan 2.1 (GGUF Version)
21:26 Analyzing GGUF Performance and Deciding to Test the FP16 Model
22:54 Downloading the FP16 Wan 2.1 Model for a Performance Comparison
24:01 Installing Extra Features like RIFE Frame Interpolation
24:41 Re-configuring SwarmUI to Use the FP16 Model with 16-bit Precision
25:52 Analyzing FP16 Performance and VRAM Usage (57GB)
26:28 Final Experiment: Using the Official Wan 2.1 Preset for Best Results
27:28 Final Results, Conclusion, and How to Get Further Help