How to Run Wan_2.2_ComfyUI_Repackaged on Copilot+ PC

The fastest tactical way to launch this model locally is via a Docker image.

Please adhere to the deployment steps listed below.

Hands-free setup: the system self-downloads the heavy model files.

Once launched, the wizard detects your specs to configure the model for maximum efficiency.

🧮 Hash-code: 6aca3b87820c68f81708d2da980c07b2 • 📆 2026-07-04
  • CPU: 8-core / 16-thread recommended for orchestration
  • RAM: high-speed DDR5 memory preferred for CPU offloading
  • Disk Space: required: fast PCIe 4.0 drive for instant boots
  • Graphics: stable 30+ tk/s at 4-bit quantization on medium setup

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.

  1. Setup utility adjusting context window limitations on local hardware
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  7. Installer configuring distributed tensor calculation grids across multiple local rigs
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