diontimmer/ControlNet QR Code
QR Code Conditioned ControlNet Models for Stable Diffusion 1.5 and 2.1 Model Description 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. 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. Performance and Limitations T
| Author / organization | diontimmer |
|---|---|
| Downloads | 6.9K (as reported by Civitai) |
| Likes | 440 |
| Task | text-to-image |
| Created | 15 June 2023 |
| Last updated at source | — |
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