Run Qwen-Image_ComfyUI Windows 11 Local Guide

For an instant local deployment, running a pre-configured shell script is ideal.

Refer to the action plan below to initialize the model.

All large files and heavy weights are downloaded automatically by the script.

The program scans your VRAM and RAM to seamlessly apply optimal configurations.

📄 Hash Value: 67c24351d26381aff1debbe41b77b9f5 | 📆 Update: 2026-06-28



  • CPU: modern architecture (Zen 3 / Alder Lake minimum)
  • RAM: 64 GB to avoid OOM crashes on large contexts
  • Disk: 150+ GB for high-context vector database storage
  • Graphics: CUDA Compute Capability 8.0+ required for flash-attention

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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