{"id":138724,"date":"2023-12-13T11:16:16","date_gmt":"2023-12-13T11:16:16","guid":{"rendered":"https:\/\/www.techopedia.com\/?post_type=definition&p=138724"},"modified":"2023-12-13T11:16:16","modified_gmt":"2023-12-13T11:16:16","slug":"gencraft-ai-art-generator","status":"publish","type":"definition","link":"https:\/\/www.techopedia.com\/definition\/gencraft-ai-art-generator","title":{"rendered":"Gencraft (AI Art Generator)"},"content":{"rendered":"

What is the Gencraft AI Art Generator?<\/span><\/h2>\n

Gencraft is a text-to-image AI art generator that allows authorized users to create and modify digital images and videos from prompts.<\/p>\n

Gencraft\u00a0was designed by Suman Gupta, a product designer at Hive.ai<\/a>. According to Gupta’s LinkedIn profile<\/a>, the design process for Gencraft focused on creating an intuitive and user-friendly app that empowers users to transform ideas into images and videos.<\/p>\n

Customization and personalization options were a priority.<\/p>\n

How Text-To-Image AI Art Generators Work<\/span><\/h2>\n

Art generators are typically low code\/no code<\/a> (LCNC) generative AI apps. A simple user interface<\/a> (UI) hides the complexities of multiple machine learning <\/a>\u00a0(ML) models that work together to analyze and reproduce different artistic styles \u2013 and different artistic elements like shapes, colors, and textures.<\/p>\n

Essentially, a text-to-image AI art generator works by transforming a written description into a visual image.<\/p>\n

1. First, the machine learning models analyze the input text, using natural language processing<\/a> (NLP). Then they use deep learning<\/a> algorithms to interpret the text and extract key elements like objects, actions, and styles.<\/p>\n

2. Next, a neural network<\/a> combines its understanding of the text with its learned artistic knowledge to create a new image that corresponds to the text description.<\/p>\n

This process often involves a lot of computational resources, which is why most art generators are served from the cloud. For example, artificial intelligence<\/a> (AI) might need to use computer vision<\/a> to analyze reference images, use a generative adversarial network<\/a> (GAN) to blend styles and fill in gaps in the description based on what the collaborative models learned during training.<\/p>\n

Gencraft Components and Features<\/span><\/h2>\n

Gencraft ML models, which were trained with large datasets of labeled art<\/a>, can create original image and video content in more than 25 styles.<\/p>\n

The app has six different components and provides community members with two different ways to interact.<\/p>\n