ComfyUI Course - Learn ComfyUI From Scratch | Pixaroma - ComfyUI Nunchaku Tutorial: Install, Models, and Workflows Explained (Ep02)

In this episode of the ComfyUI course, you’ll learn how to install the Nunchaku custom node, understand int4 and fp4 Nunchaku models, and use ready-made Nunchaku workflows to significantly reduce VRAM usage and speed up image generation. This tutorial is ideal for users with RTX 30, 40, and 50 series GPUs, especially those working with limited VRAM. By the end of this video, you will know: - How to install the ComfyUI Nunchaku node using the easy installer - Which Nunchaku model type (int4 vs fp4) is right for your GPU - Where to place Nunchaku diffusion models, CLIP encoders, and VAEs - How to load and use Z Image, Qwen Image, and Flux Nunchaku workflows - How Nunchaku compares with other models in speed and quality - How to convert an existing workflow into a Nunchaku workflow - How to fix common Nunchaku and Flux issues --- Workflows download links (Discord, GitHub Releases, Google Drive): https://github.com/pixaroma/pixaroma-workflows --- Unlock exclusive perks by joining our channel: https://www.youtube.com/channel/UCmMbwA-s3GZDKVzGZ-kPwaQ/join Grab your Pixaroma merch from here: https://www.youtube.com/@pixaroma/store --- #comfyui #comfyuitutorial #textoimageai Chapters: 00:00 What Is Nunchaku in ComfyUI 00:41 Updating ComfyUI + Nunchaku System Requirements 02:24 Installing the Nunchaku Custom Node 04:15 Downloading Free Episode 02 Workflows 05:58 Nunchaku Z Image + int4 vs fp4 + Comparison 11:00 Nunchaku Qwen Image 16:03 Nunchaku Flux 1 Dev 20:00 Seed Variation 21:22 Fixing Flux Data Type Errors 21:53 Compare all 3 Models + Song :)