In the "Prompt" field you should write in English what you want to see. This parameter is the only mandatory one.
In the "Exclude" field, you can specify what you don't want to see in the image, such as "nsfw" or "nude" to exclude inappropriate content.
In the "Genre" field you can select the type of image: photo, anime, digital drawing or universal ("Generalist"). Personally, I didn't get anything good with the universal one, but the others work fine.
Next, you can choose the aspect ratio and the number of images you want to create. If you are a beginner, this is enough. If you are an advanced user, you can look in the advanced settings.
In the "Sampler" and "Sampler Strength" settings, you can change the color gamut of the image.
The "High Frequency Detail" parameter is responsible for the amount of fine detail in the image.
"Saturation" allows you to adjust the saturation of the colors in the image.
After you draw the image, two important buttons will appear at the top of the page.
The button on the left allows you to regenerate the image with the same parameters that were used in the previous generation.
The button on the right loads the settings that were used in the previous generation into the appropriate settings fields.
One such resource is this site https://prompts.ai, which provides a collection of ready-made sample requests for creating images of various genres and styles.
You can also look for ready-made prompts on forums and social networks, where topics related to neural network image generation are discussed.
If you have difficulty writing a detailed query description, you can start with simpler queries and gradually improve your skills. You can also use visual example images to express your preferences more accurately.
"cute girl lying on beach"
In addition to those ways, there are a few more for getting ready-made beautiful queries:
In any case, the choice of the particular method depends on your preferences and needs.
The Unstable Diffusion neural network can be used to create different types of images, including:
All of these types of images can be created using the Unstable Diffusion neural network, as long as they do not violate laws and ethical standards.
Ailib neural network catalog. All information is taken from public sources.
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