Leonardo AI Complete Beginners Tutorial | Master AI-Driven Design

The speaker begins the video by introducing the topic, which is a comprehensive tutorial on how to use Leonardo AI. They express their fondness for the software, stating it's their current favorite, and suggest that viewers might discover new features. The target audience includes beginners considering joining an AI software platform for print-on-demand services or starting a clothing line with their own designs. The speaker shares their experience with two accounts, one for public art and another for private sales, and explains the Premium plan's benefits.

The speaker delves into the specifics of Leonardo AI's user interface, highlighting the home screen's features such as featured models, recent creations, and the inspiration they provide for new art. They discuss the significance of likes and recency in the algorithm that determines what appears on the front page. The speaker also explains the differences between upscaled images, alternate upscales, unzoomed versions, and no-background images. They emphasize the importance of understanding these features and how they can be utilized within the platform.

The speaker guides viewers on navigating the platform, including searching for specific images, exploring game assets, and understanding the details of image creation such as resolution, guidance scale, and the various models used. They discuss the ability to download and potentially reuse AI-generated images due to their non-copyrightable nature, while advising viewers to create their own art to avoid potential conflicts. The speaker also covers the editing and prompt input processes, explaining how users can refine their creations and achieve desired outcomes.

The speaker explains the job statuses of models within Leonardo AI, highlighting the process of model creation and the potential for failure if the AI does not understand the concept. They introduce the idea of training and data sets, which allow users to train the AI to create specific styles of images. The speaker shares their experience with creating a 'spilled liquid' model and demonstrates how it can be used to generate unique pieces of art. They also touch on the concept of fine-tuned models and how they can be used to create various outputs.

The speaker discusses the community models created by other users and their own models, including 'starry night' and 'gradients one'. They explain how they created a sticker model and the potential business applications of these models, such as selling them as stickers on platforms like Etsy or offering digital files for sale. The speaker also covers the user tools available in Leonardo AI, including AI image generation, AI canvas, and texture generation. They briefly mention the idea of creating a separate video to explore texture generation in more detail due to its complexity.

The speaker demonstrates the process of remixing and upscaling images within Leonardo AI. They explain the differences between creative upscale and alternate upscale, and how these features can be used to modify and improve upon existing images. The speaker also discusses the use of control nets and stable diffusion versions, as well as the option to make images public or private. They share their personal preference for turning off prompt magic to maintain control over their creations, and encourage viewers to experiment with the software's features to achieve their desired outcomes.

In the concluding segment, the speaker summarizes the capabilities of Leonardo AI, emphasizing the vast array of editing options and creative possibilities the software offers. They share their approach to creating images based on their preferred styles and discuss the potential for using old images as a foundation for new creations. The speaker also mentions the ability to save and reuse image seeds, and suggests that there are many hidden features within the software worth exploring further. They invite viewer feedback and conclude the tutorial with a farewell message.