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Update README.md

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  tags:
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  - stable-diffusion
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  - controlnet
 
 
 
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  ---
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  # QR Code Conditioned ControlNet Models for Stable Diffusion 1.5 and 2.1
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@@ -19,4 +22,4 @@ These models perform quite well in most cases, but please note that they are not
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  To balance between style and shape, a gentle fine-tuning of the control weight might be required based on the individual input and the desired output, aswell as the correct prompt. Some prompts do not work until you increase the weight by a lot. The process of finding the right balance between these factors is part art and part science. For the best results, it is recommended to generate your artwork at a resolution of 768. This allows for a higher level of detail in the final product, enhancing the quality and effectiveness of the QR code-based artwork.
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- ![2](imgs/2.png) ![3](imgs/3.png) ![4](imgs/4.png)
 
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  tags:
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  - stable-diffusion
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  - controlnet
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+ license: openrail++
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+ language:
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+ - en
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  ---
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  # QR Code Conditioned ControlNet Models for Stable Diffusion 1.5 and 2.1
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  To balance between style and shape, a gentle fine-tuning of the control weight might be required based on the individual input and the desired output, aswell as the correct prompt. Some prompts do not work until you increase the weight by a lot. The process of finding the right balance between these factors is part art and part science. For the best results, it is recommended to generate your artwork at a resolution of 768. This allows for a higher level of detail in the final product, enhancing the quality and effectiveness of the QR code-based artwork.
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+ ![2](imgs/2.png) ![3](imgs/3.png) ![4](imgs/4.png)