⬆️ one paper OmniPainter was released on arXiv

Our paper OmniPainter was released on arxiv.

Setup

Download and set up the repo:


git clone https://github.com/maxin-cn/OmniPainter
cd OmniPainter
conda env create -f environment.yml
conda activate omnipainter

Stylized image generation

You can sample high-quality images that match both the given prompt and the style reference image within just 4 to 6 timesteps, without requiring any inversion. The script has various arguments for adjusting sampling steps, changing the classifier-free guidance scale, etc:


bash run.sh

Related model weights will be downloaded automatically and following results can be obtained here.

Xin Ma
Xin Ma
PhD Student

I’m a Ph.D canditate at Monash University. My research interests include video and image generation, model compression, face recognition, large-scale generative models and so on.

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