Setup Qwen-Image_ComfyUI on AMD/Nvidia GPU Offline Setup

If you want the fastest local installation for this model, use standard pip packages.

Proceed by following the technical instructions below.

The tool automatically synchronizes and downloads the model database.

During setup, the script automatically determines and applies the best settings.

🔍 Hash-sum: 0da27d4c23faa1afe823d64acf8768b8 | 🕓 Last update: 2026-07-06



  • Processor: next-gen chip for heavy context processing
  • RAM: minimum 16 GB for stable 8B model loading
  • Storage:100 GB free space for HuggingFace cache folder
  • Graphics: TensorRT-LLM / vLLM inference engine compatible chip

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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