Setup Wan_2.2_ComfyUI_Repackaged One-Click Setup Full Method Windows

The most rapid route to a local installation of this model is through Docker.

Please follow the instructions listed below to get started.

No manual effort needed; the setup auto-ingests the large data.

During setup, the script automatically determines and applies the best settings tailored to your machine.

🗂 Hash: a0d036908a84cfe21d9199e5fc72d950Last Updated: 2026-06-26



  • CPU: multi-threading optimized for fast prompt processing
  • RAM: high-speed DDR5 memory preferred for CPU offloading
  • Disk Space: 80 GB NVMe SSD required for fast model weights loading
  • 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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