How to Run Wan_2.2_ComfyUI_Repackaged Windows 11 For Low VRAM (6GB/8GB) Local Guide Windows

How to Run Wan_2.2_ComfyUI_Repackaged Windows 11 For Low VRAM (6GB/8GB) Local Guide Windows

Running this model locally is fastest when deployed through Docker.

Follow the guidelines below to continue.

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

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

🔒 Hash checksum: 8bcf6ae72c6bd8312964ec198b755b62 • 📆 Last updated: 2026-06-24



  • Processor: 4.0 GHz+ boost clock recommended for CPU inference
  • RAM: enough space for background apps and OS overhead
  • Disk Space: required: fast PCIe 4.0 drive for instant boots
  • GPU: high memory bandwidth GPU for next-gen local AI pipeline

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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