Qwen-Image-Edit_ComfyUI 100% Private PC No Python Required Step-by-Step Windows

Qwen-Image-Edit_ComfyUI 100% Private PC No Python Required Step-by-Step Windows

To get this model running locally in no time, utilize the built-in WSL tools.

Refer to the instructions below to proceed.

The engine will automatically fetch large dependencies in the background.

The engine benchmarks your hardware to apply the most effective operational mode.

📦 Hash-sum → a924d0e0da2fa75973709630b41b5102 | 📌 Updated on 2026-07-04



  • Processor: Intel i5 or AMD Ryzen 5 for basic 7B models
  • RAM: 32 GB or higher for smooth 32k context lengths
  • Disk Space: 100 GB for multi-modal model vision components
  • Graphics: 12 GB VRAM minimum required for basic quantization

The Qwen-Image-Edit_ComfyUI model leverages a state‑of‑the‑art diffusion framework to deliver precise image editing capabilities directly within the ComfyUI environment. It supports high‑resolution outputs and enables operations such as object removal, inpainting, and style transfer with minimal latency. A conditional guidance mechanism ensures semantic consistency across edited regions, preserving the original context while applying modifications. The architecture employs a dual‑encoder design that combines a vision encoder for detailed feature extraction and a text encoder for contextual understanding. Users can integrate the model into existing node‑based workflows without extensive retraining, making advanced editing accessible to both developers and artists. Below is a quick comparison of key performance metrics that highlight its efficiency and quality relative to similar tools.

Metric Value
Resolution 2048×2048
Inference Time ~120ms
PSNR 38.5 dB
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