How to Autostart Wan_2.2_ComfyUI_Repackaged Locally via LM Studio One-Click Setup Offline Setup

How to Autostart Wan_2.2_ComfyUI_Repackaged Locally via LM Studio One-Click Setup Offline Setup

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

Review and follow the instructions below.

The installer automatically pulls the model (could be multiple GBs).

You don’t need to tweak anything; the installer picks the highest performing setup.

🔐 Hash sum: a661215e14f1ec447639020087f3c467 | 📅 Last update: 2026-07-07



  • Processor: 4.0 GHz+ boost clock recommended for CPU inference
  • RAM: 32 GB highly recommended for 26B+ GGUF models
  • Disk: 150+ GB for high-context vector database storage
  • Graphics: TensorRT-LLM / vLLM inference engine compatible chip

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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