Run Wan_2.2_ComfyUI_Repackaged with 1M Context

Run Wan_2.2_ComfyUI_Repackaged with 1M Context

To install this model locally in the shortest time, opt for a direct curl execution.

Proceed by following the technical instructions below.

An automated background process downloads all required large-scale files.

To save you time, the system will automatically determine efficient resource allocation.

đź’ľ File hash: 95013daad25fee9dc9bef496289b8ee3 (Update date: 2026-07-04)



  • Processor: high single-core performance needed for token latency
  • RAM: required: 16 GB absolute minimum for small models
  • Disk: high-speed SSD 120 GB to cache model layers
  • GPU: 16 GB+ video memory highly recommended for exl2 / AWQ formats

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 4096Ă—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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