Modes in ArtSmart refer to different AI models trained on various datasets, resulting in vastly different outputs. Depending on the artistic style you desire, switching between modes allows you to explore different possibilities.

ArtSmart offers a variety of generation modes that enable you to experiment with artistic styles and levels of realism. With a combination of default modes and community-powered modes, you have a wide range of options to unleash your creativity.

Let's delve into the available generation modes:

The Standard Mode utilizes the Stable Diffusion model trained on billions of images from the Laion database. It provides a balanced and versatile AI-generated output, making it an excellent starting point for creating various artistic images.

Semi Realistic Mode builds upon the Standard Mode, catering to a more fantasy-oriented style. This mode strikes a balance between realism and artistic interpretation, adding a touch of realism to your AI-generated images while maintaining a creative flair.

The Realistic Mode bridges the gap between Semi Realistic and Hyper Realistic. Powered by the community model "Vintedois," this mode brings a heightened sense of realism and attention to detail to your AI creations.

Hyper Realistic Mode is designed to push the boundaries of realism in AI-generated art. It produces highly detailed and lifelike images, offering an impressive level of realism for your artwork.

Utilizing the power of the "RealisticVision" model, the Photo Realistic Mode specializes in generating AI images that closely resemble real photographs. It excels in capturing moments with stunning realism, making it ideal for achieving lifelike results.

n the ArtSmart Playground, you have the freedom to select the model that suits your creative vision for the generation process. Each mode offers a distinct flavor and impact on the final output, allowing you to explore new artistic possibilities.

Here's how you can change the generation mode in the Playground:

In order to better understand the distinctions between the generation modes, let's compare the output results for each mode. For a fair and unbiased comparison, we will use the exact same prompts for each mode.