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
.
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
.
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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)