Graphic design is constantly evolving, and the latest development in this field is the use of artificial intelligence (AI) to create images. Shutterstock, a leading stock image and video provider, has recently inked a deal with OpenAI to roll out a generative AI toolkit that creates images based on text prompts. This toolkit is a game-changer for graphic designers, and in this blog, we'll explore how it works and what it means for the industry.
How the Toolkit Works: The toolkit is designed to create images that are based on text descriptions. It uses natural language processing (NLP) to understand the text prompts and generate images that match the description. For example, if you provide the prompt "A group of people sitting around a campfire," the toolkit will generate an image of a group of people sitting around a campfire. The toolkit also allows users to specify the style of the image, such as whether it should be realistic or more abstract.
Key Points to Consider:
The toolkit is designed to save time and effort for graphic designers by automating the image-creation process.
It uses natural language processing to understand text prompts, which makes it easy to use for anyone, regardless of their technical expertise.
It allows users to specify the style of the image, which means that it can be used to create a wide range of images.
The images generated by the toolkit are unique, which means that users don't have to worry about copyright issues.
The toolkit has the potential to democratize graphic design by making it more accessible to a wider range of people.
Shutterstock's generative AI toolkit is a significant development in the field of graphic design. It uses natural language processing to create images based on text prompts and allows users to specify the style of the image. The toolkit has the potential to save time and effort for graphic designers and democratize the field by making it more accessible to a wider range of people. It's an exciting time for the graphic design industry, and we can't wait to see how this toolkit will be used in the future.