How to Launch Qwen-Image_ComfyUI Offline on PC

The most rapid route to a local installation of this model is through Docker.

Follow the step-by-step instructions below.

After cloning, fire up the application using Docker.

📦 Hash-sum → 3f76e87fd454f44e2b728b984b6abd2e | 📌 Updated on 2026-06-21

CPU: AVX2/AVX-512 instruction set required for llama.cpp
RAM: 32 GB highly recommended for 26B+ GGUF models
Disk: high-speed SSD 120 GB to cache model layers
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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