Qwen-Image_ComfyUI 100% Private PC Step-by-Step

The fastest method for installing this model locally is by using Docker.

Kindly follow the on-screen instructions below.

The engine will automatically fetch large dependencies in the background.

The deployment tool scans your environment and chooses the ideal parameters.

📤 Release Hash: acec0fde3ce78cbac8342758b0e07a78 • 📅 Date: 2026-07-02
  • CPU: AVX2/AVX-512 instruction set required for llama.cpp
  • RAM: 48 GB needed to prevent memory swapping to disk
  • Disk Space: 100 GB for multi-modal model vision components
  • GPU: high memory bandwidth GPU for next-gen local AI pipeline

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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