How to Setup Wan_2.2_ComfyUI_Repackaged on Copilot+ PC Offline Setup


How to Setup Wan_2.2_ComfyUI_Repackaged on Copilot+ PC Offline Setup

The fastest method for installing this model locally is by using Docker.

Review and follow the instructions below.

1-click setup: the app automatically fetches the large weight files.

Once launched, the setup wizard will detect your specs to configure the model for maximum efficiency.

📤 Release Hash: 19d8d5180d253e059ff593ac684626b1 • 📅 Date: 2026-06-23



  • Processor: Intel i5 or AMD Ryzen 5 for basic 7B models
  • RAM: enough space for background apps and OS overhead
  • Storage: extra room for future model updates and datasets
  • Graphics: TensorRT-LLM / vLLM inference engine compatible chip

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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