How to Autostart Wan_2.2_ComfyUI_Repackaged Full Speed NPU Mode Step-by-Step

How to Autostart Wan_2.2_ComfyUI_Repackaged Full Speed NPU Mode Step-by-Step

To install this model locally in the shortest time, opt for Docker.

Follow the step-by-step instructions below.

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

The deployment tool scans your environment and automatically chooses the ideal parameters for your OS.

🔐 Hash sum: 64d9ccfc9aac16270ad459e608733bc2 | 📅 Last update: 2026-06-26



  • Processor: Intel i5 or AMD Ryzen 5 for basic 7B models
  • RAM: high-speed DDR5 memory preferred for CPU offloading
  • Storage:100 GB free space for HuggingFace cache folder
  • Graphic Processor: hardware Tensor Cores support needed for FP16 acceleration

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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