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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)