Install Wan_2.2_ComfyUI_Repackaged on Your PC Quantized GGUF 5-Minute Setup

Install Wan_2.2_ComfyUI_Repackaged on Your PC Quantized GGUF 5-Minute Setup

The shortest path to running this model is by activating Hyper-V features.

Proceed by following the technical instructions below.

The setup auto-downloads all needed files (several GBs).

The automated script takes care of everything, tailoring the setup to your specs.

📤 Release Hash: 032133503851e0bfc36236332383ff32 • 📅 Date: 2026-06-29



  • Processor: next-gen chip for heavy context processing
  • RAM: at least 32 GB in dual-channel mode for bandwidth
  • Disk Space: required: fast PCIe 4.0 drive for instant boots
  • GPU: 16 GB+ video memory highly recommended for exl2 / AWQ formats

The Wan_2.2_ComfyUI_Repackaged model delivers state‑of‑the‑art text‑to‑image generation with unprecedented speed and quality. Built on the ComfyUI framework, it seamlessly integrates into existing workflows, allowing artists and developers to iterate rapidly. Its architecture supports a wide range of aspect ratios and can produce images up to 4096×4096 pixels, making it ideal for both concept art and detailed illustration. A key advantage is the model’s efficient memory footprint, enabling high‑performance inference on consumer‑grade GPUs without sacrificing detail. Below is a quick comparison of its core specifications:

Parameter Value
Model Type Text‑to‑Image
Parameter Count 2.5 B
Max Resolution 4096×4096
Framework ComfyUI

Users have reported impressive results in both speed and visual fidelity, cementing its position as a go‑to tool for modern creative pipelines.

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