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.
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.
Object Repositioning Settings
How big should the object look?
Where would you like to place the object in the scene?
![](data:image/png;base64,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)