Running this model locally is fastest when deployed through Docker.
Simply follow the directions outlined below.
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The system automatically triggers a cloud download for all heavy weights.
The deployment tool scans your environment and automatically chooses the ideal parameters for your OS.
🧾 Hash-sum — 99f1c07a94916f2b654a49df46a9091d • 🗓 Updated on: 2026-06-27
- CPU: modern architecture (Zen 3 / Alder Lake minimum)
- RAM: high-speed DDR5 memory preferred for CPU offloading
- Disk Space: at least 100 GB for multiple local LLM variants
- Graphics: stable 30+ tk/s at 4-bit quantization on medium setup
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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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