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

Refer to the instructions below to proceed.

The installer auto-downloads and deploys the entire model pack.

During setup, the script automatically determines and applies the best settings tailored to your machine.

🛡️ Checksum: 40a7e24d61f99a27237f7802100e6fb1 — ⏰ Updated on: 2026-06-28 Verify CPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: 32 GB or higher for smooth 32k context lengths Disk Space: 80 GB NVMe SSD required for fast model weights loading Graphics: TensorRT-LLM / vLLM inference engine compatible chip

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.

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