If you want the fastest local installation for this model, use standard pip packages.
Kindly follow the on-screen instructions below.
All large files and heavy weights are downloaded automatically by the script.
The engine benchmarks your hardware to apply the most effective operational mode.
📤 Release Hash: 3b09a7ba70ccf5be18d591b2aeeec067 • 📅 Date: 2026-07-02
- Processor: 4.0 GHz+ boost clock recommended for CPU inference
- RAM: at least 32 GB in dual-channel mode for bandwidth
- Disk Space: 100 GB for multi-modal model vision components
- GPU: 16 GB+ video memory highly recommended for exl2 / AWQ formats
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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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