Customize the QR Code output for your text prompt with these Settings.
Image Generation Settings
Search for our available models here to learn more about them.
Please use our default settings for optimal results if you're a beginner.
⚖️ Conditioning Scales
At 0 the prompted visual will be intact and the QR code will be more artistic but less readable
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At 2 the control settings that blend the QR code will be applied tightly, possibly overriding the image prompt, but the QR code will be more readable
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Image generation engines can often generate disproportionate body parts, extra limbs or fingers, strange textures etc. Use negative prompting to avoid disfiguration or for creative outputs like avoiding certain colour schemes, elements or styles.
By default, each run produces one output per Model.
An increase in output quality is comparable to a gradual progression in any drawing process that begins with a draft version and ends with a finished product.
At lower values the image will effectively be random. The standard value is between 6-8. Values that are too high can also distort the image.
⌖ QR Positioning
Use this to control where the QR code is placed in the image, and how big it should be.
![](data:image/png;base64,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)