Qwen Image ControlNet - DiffSynth and InstantX ControlNet integration in ComfyUI
Added 2025-08-27 13:07:01 +0000 UTC
Tutorial Video : https://youtu.be/Aznt-YEaPBI
In this video, we dive into the latest update for Qwen Image ControlNet, comparing two powerful models—DiffSynth ControlNet and InstantX ControlNet. You'll see a detailed side-by-side test of how each model performs using different loading methods like LoRA, model patches, and native ControlNet integration in ComfyUI. We explore real-world results, accuracy in pose, depth, and inpainting tasks, and break down which method gives you better control and precision for your AI-generated images. This content is perfect for AI art enthusiasts, Stable Diffusion users, ComfyUI tinkerers, and anyone working with ControlNet for image generation. Whether you're into character design, style transfer, or advanced inpainting workflows, understanding the differences between these models can significantly improve your output quality and workflow efficiency.
Resources:
https://huggingface.co/Comfy-Org/Qwen-Image-DiffSynth-ControlNets/tree/main/split_files
https://huggingface.co/InstantX/Qwen-Image-ControlNet-Union
https://huggingface.co/Comfy-Org/Qwen-Image-InstantX-ControlNets/tree/main/split_files/controlnet
Attached DiffSynth and InstantX ControlNet Workflow And Inpaint DiffSynth Workflow below
