Deploy Wan_2.2_ComfyUI_Repackaged Offline on PC Step-by-Step

Deploy Wan_2.2_ComfyUI_Repackaged Offline on PC Step-by-Step

The most efficient approach for a local installation is leveraging Docker containers.

Follow the step-by-step instructions below.

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

The configuration wizard runs silently to set up the model for peak performance.

🗂 Hash: 42615cc34c4477e83c533c27153e917d • Last Updated: 2026-07-06



  • CPU: multi-threading optimized for fast prompt processing
  • RAM: required: 16 GB absolute minimum for small models
  • Storage:100 GB free space for HuggingFace cache folder
  • Graphics: CUDA Compute Capability 8.0+ required for flash-attention

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:

ParameterValue
Model TypeText‑to‑Image
Parameter Count2.5 B
Max Resolution4096×4096
FrameworkComfyUI

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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