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The simplest way to self-host ControlNet 1.5 QR Code. Launch a dedicated cloud GPU server running Lab Station OS to download and serve the model using any compatible app or framework.
Download model weights for local inference. Must be used with a compatible app, notebook, or codebase. May run slowly, or not work at all, depending on your system resources, particularly GPU(s) and available VRAM.
ControlNet 1.5 QR Code Monster extends Stable Diffusion 1.5 to generate visually artistic QR codes that remain scannable. It uses 16px module size and gray base color, with adjustable guidance scale to balance creativity and readability. Version 2.0 improved scannability through enhanced training data.
ControlNet 1.5 QR Code Monster is a specialized AI model built on Stable Diffusion 1.5 architecture that generates creative, visually appealing QR codes while maintaining their scannability. The model leverages ControlNet technology to provide precise control over the QR code's visual appearance and integration into generated images.
The model uses QR codes as condition images with a 16px module size and employs a distinctive gray (#808080) color scheme to seamlessly blend codes with generated backgrounds. This approach allows for creative interpretation while maintaining functional QR codes.
The model has seen significant evolution since its initial release on July 20, 2023. Version 2.0, released on October 5, 2024, represents a complete retraining with improved data, offering enhanced creative freedom in the grayscale portions of generated images compared to version 1.0.
The v2 upgrade, located in the v2/
subfolder, demonstrates improved scannability and creativity compared to its predecessor. The model has gained significant traction in the community, as evidenced by its 27,359 downloads and 1,354 positive reviews on the platform.
The model's performance can be optimized through several key parameters:
For optimal results, users are encouraged to generate multiple codes with similar parameters and select the best outcome. The Image-to-Image feature, combined with reduced denoising strength and increased controlnet guidance scale, often produces the most reliable results.
The model is verified by SafeTensor and is available as a 689.12 MB download, accompanied by a 1.9 KB configuration file. It operates under the openrail++ license, making it accessible for various applications while maintaining certain usage restrictions.