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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)