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Nap/Qwen2VL-Flux-ControlNet
Qwen2VL-Flux-ControlNet is a machine learning model from Nap. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
Qwen2VL-Flux was released a while ago. It comes with a standalone ControlNet model that works with Flux Dev. Fully compatible with ComfyUI.
Downloads · 30 days
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Updated Jun 20, 2025
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From the Hugging Face model README
Qwen2VL-Flux was released a while ago. It comes with a standalone ControlNet model that works with Flux Dev. Fully compatible with ComfyUI.
I works well with Depth and Canny and kinda works with Tile and Realistic Lineart. You can also combine Depth and Canny.
Usually works well with strength 0.6-0.8 depending on the image. You might need to run Flux at FP8 to avoid OOM.
There's a sample workflow in this repo that you can try on ComfyUI.
The original project can be found here:
https://huggingface.co/Djrango/Qwen2vl-Flux
The model in my repo is simply the weights from https://huggingface.co/Djrango/Qwen2vl-Flux/tree/main/controlnet
All credit belongs to the original creator of the model Pengqi Lu.