How to Launch Wan_2.2_ComfyUI_Repackaged 5-Minute Setup

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The fastest method for installing this model locally is by using Docker.

Please follow the instructions listed below to get started.

1-click setup: the app automatically fetches the large weight files.

During setup, the script automatically determines and applies the best settings tailored to your machine.

🛡️ Checksum: 04b343de94a7f9cd40576b44402d8424 — ⏰ Updated on: 2026-06-23

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CPU: 8-core / 16-thread recommended for orchestration
RAM: required: 16 GB absolute minimum for small models
Disk Space: 80 GB NVMe SSD required for fast model weights loading
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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