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

For the fastest local setup of this model, Docker is the best choice.

Please follow the instructions listed below to get started.

The installer auto-downloads and deploys the entire model pack.

You don’t need to tweak anything, as the installer will automatically pick the highest performing setup for you.

🧩 Hash sum → 3871fc8dc19c6c24d143c6026b91c4f0 — Update date: 2026-06-24 Verify Processor: Intel i7 / Ryzen 7 for heavy Quantized models RAM: enough space for background apps and OS overhead Storage: extra room for future model updates and datasets Graphics: 12 GB VRAM minimum required for basic quantization

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:

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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