Run Qwen-Image_ComfyUI on Copilot+ PC Full Speed NPU Mode

Run Qwen-Image_ComfyUI on Copilot+ PC Full Speed NPU Mode

Using Docker is the absolute quickest way to install this model on your local machine.

Refer to the instructions below to proceed.

The loader auto-caches the model archive (several GBs included).

The setup file includes an intelligent feature that instantly optimizes all configurations for your hardware profile.

📊 File Hash: 5a84305c370ac959837f7aebcd8f0faf — Last update: 2026-06-27



  • Processor: 6-core 3.5 GHz minimum required
  • RAM: at least 32 GB in dual-channel mode for bandwidth
  • Disk Space: 100 GB for multi-modal model vision components
  • Graphic Processor: hardware Tensor Cores support needed for FP16 acceleration

Qwen-Image_ComfyUI is a state-of-the-art diffusion model designed to generate high‑fidelity images from textual prompts within the ComfyUI workflow. It leverages advanced cross‑attention mechanisms and a refined noise schedule to produce detailed textures and accurate composition. Trained on a diverse dataset of millions of image‑text pairs, the model excels in both realism and artistic style interpretation. Key technical specifications are summarized below:

Model Type Diffusion-based image generator
Input Resolution 1024×1024 pixels
Parameter Count 1.5B
Training Data Public image‑text datasets
Inference Speed ~0.2 seconds per image

Its integration with ComfyUI’s node‑based interface ensures seamless pipeline customization, making it a powerful tool for artists, developers, and researchers alike.

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