For the fastest local setup of this model, enabling Windows Features is best.
Please follow the instructions listed below to get started.
The client handles the setup, pulling gigabytes of data automatically.
The automated script takes care of everything, tailoring the setup to your specs.
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.
- Installer pre-configuring Qwen2.5-Coder models for offline IDE plugins
- Wan_2.2_ComfyUI_Repackaged Locally (No Cloud) Easy Build
- Downloader pulling optimized model shards for limited bandwith setups
- Setup Wan_2.2_ComfyUI_Repackaged Full Method
- Downloader pulling specialized biomedical classification models for offline evaluation frameworks
- Full Deployment Wan_2.2_ComfyUI_Repackaged PC with NPU Offline Setup