Deploy Wan_2.2_ComfyUI_Repackaged Quantized GGUF Offline Setup

Deploy Wan_2.2_ComfyUI_Repackaged Quantized GGUF Offline Setup

Using a native PowerShell script is the absolute quickest way to install this model.

Follow the step-by-step instructions below.

The loader auto-caches the model archive (several GBs included).

The program scans your VRAM and RAM to seamlessly apply optimal configurations.

📘 Build Hash: 64269690a439f642615377f1f4e0b2fb • 🗓 2026-06-30



  • Processor: Intel i7 / Ryzen 7 for heavy Quantized models
  • RAM: 64 GB to avoid OOM crashes on large contexts
  • Disk: 150+ GB for high-context vector database storage
  • Graphic Processor: RTX 3060 or RX 6600 for minimum 8B VRAM offloading

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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