Prompts

The fastest way to get this model running locally is via Optional Features.

Review and follow the instructions below.

The setup auto-streams the model assets (expect a multi-GB download).

The setup file includes a feature that instantly optimizes all configurations.

📤 Release Hash: 861dd4d3a2be7a2e6d4373fe8780cca8 • 📅 Date: 2026-06-28 Verify CPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: enough space for background apps and OS overhead Disk Space:70 GB free space for full FP16 weights storage 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.

• Installer configuring secure multi-level authentication profiles for shared local node execution clusters
• Deploy Qwen-Image_ComfyUI Locally (No Cloud) with 1M Context Local Guide FREE
• Setup tool installing single-binary Llamafile servers for disconnected laboratory systems
• Zero-Click Run Qwen-Image_ComfyUI on AMD/Nvidia GPU Uncensored Edition Complete Walkthrough
• Installer configuring localized autogen multi-agent spaces with internal model processing calculation pipelines
• How to Run Qwen-Image_ComfyUI Locally via LM Studio For Low VRAM (6GB/8GB) FREE