control_v1p_sd15_qrcode_monster

Introduction

The Controlnet QR Code Monster v2 for SD-1.5 is a model designed to generate creative QR codes that are also scannable. This new version offers improved scannability and creativity over its predecessor, allowing QR codes to seamlessly blend with images using a gray-colored background.

Architecture

The model uses Controlnet to guide QR code generation with a focus on creativity and scannability. It requires QR codes to be passed as condition images with a module size of 16px, and it supports various prompts to influence the output.

Training

The model is trained to balance creativity and readability. By adjusting parameters such as error correction levels and controlnet guidance scale, users can optimize the generated QR codes for their needs.

Guide: Running Locally

1. Set Up Environment: Ensure you have Python and necessary libraries installed. Clone the model repository.

2. Prepare Inputs: Use condition images (QR codes) with a module size of 16px. Set a gray background to integrate the code.

3. Adjust Parameters: Use prompts to guide generation. Controlnet guidance scale can be adjusted for creativity or readability.

4. Generate Outputs: Experiment with different parameters. Use Image-to-Image feature to improve output readability.

   Cloud GPUs: For optimal performance, consider using cloud services with GPU support such as AWS EC2, Google Cloud, or Azure.

License

The model is released under the OpenRAIL++ license, allowing for open use with certain conditions.