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Deploy Wan_2.2_ComfyUI_Repackaged Step-by-Step

Deploy Wan_2.2_ComfyUI_Repackaged Step-by-Step

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

Make sure to follow the instructions below.

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

The installer will automatically analyze your hardware and select the optimal configuration for your system.

🔐 Hash sum: 846c733f5166a8cdaf8dc1d7f27eb18f | 📅 Last update: 2026-06-26



  • Processor: high single-core performance needed for token latency
  • RAM: enough space for background apps and OS overhead
  • Disk Space: 80 GB NVMe SSD required for fast model weights loading
  • Graphic Processor: RTX 3060 or RX 6600 for minimum 8B VRAM offloading

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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