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Run Wan_2.2_ComfyUI_Repackaged Fully Jailbroken Step-by-Step Windows

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

Refer to the instructions below to proceed.

The client handles the setup, pulling gigabytes of data automatically.

To guarantee smooth performance, the installation process auto-selects the best possible options for your PC.

🔐 Hash sum: 58fb308f4043eb126c54005e001f68a0 | 📅 Last update: 2026-06-25



  • CPU: multi-threading optimized for fast prompt processing
  • RAM: at least 32 GB in dual-channel mode for bandwidth
  • Storage: extra room for future model updates and datasets
  • GPU: 16 GB+ video memory highly recommended for exl2 / AWQ formats

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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