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README.md
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These ControlNet models have been trained on a large dataset of 150,000 QR code + QR code artwork couples. They provide a solid foundation for generating QR code-based artwork that is aesthetically pleasing, while still maintaining the integral QR code shape.
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The Stable Diffusion 2.1 version is marginally more effective, as it was developed to address my specific needs. However, a 1.5 version model was also trained on the same dataset for those who are using the older version.
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## Performance and Limitations
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These ControlNet models have been trained on a large dataset of 150,000 QR code + QR code artwork couples. They provide a solid foundation for generating QR code-based artwork that is aesthetically pleasing, while still maintaining the integral QR code shape.
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The Stable Diffusion 2.1 version is marginally more effective, as it was developed to address my specific needs. However, a 1.5 version model was also trained on the same dataset for those who are using the older version.
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Separate repos for usage in diffusers can be found here:<br>
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1.5: https://huggingface.co/DionTimmer/controlnet_qrcode-control_v11p_sd21<br>
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2.1: https://huggingface.co/DionTimmer/controlnet_qrcode-control_v1p_sd15<br>
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## Performance and Limitations
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