The launch of Shutterstock, Inc.’s AI image-generating platform, which is available to all customers worldwide in every language the website supports, was announced today. Shutterstock is the world’s top creative platform for media companies and disruptive brands. Prompts are transformed by text-to-image technology into realistic, licensed images that are larger than life. It is the most recent addition to Shutterstock’s broad toolkit, Creative Flow, which was created with the goal of enabling the most seamless creative experience imaginable.
In order to support its generative AI research efforts, Shutterstock has formed strategic partnerships over the past two years with major industry players like OpenAI, Meta, and LG AI Research. As a result, we are now able to offer our own customers responsibly produced generative AI capabilities. The way people express their stories will change thanks to our user-friendly generative platform; you don’t need to be an expert in design or have access to a creative team to produce outstanding work. Our tools are based on an ethical framework and a collection of resources that reflect the diversity of the world in which we live, and we make sure that the creators of the works that influenced the creation of these models are acknowledged and honored for their contributions.
The stock photo and media behemoth also hinted that it would soon be bringing its own generative AI tools to users when Shutterstock and OpenAI announced a partnership to help develop OpenAI’s Dall-E 2 artificial intelligence image-generating platform with Shutterstock libraries to train and feed the algorithm. The business unveiled the product today. With the help of OpenAI and Dall-E 2, users of Shutterstock’s Creative Flow online design platform may now produce graphics based on text prompts.
The photographs are “available for licensing” as soon as they are created, according to Shutterstock, which appears to lack a clear brand name for the service.
This is significant as one of Shutterstock’s main rivals, Getty Photos is presently suing Stability AI, the company behind another generative AI service called Stable Diffusion, for utilizing Getty’s images without the owners’ or Getty’s consent to train its AI.
Our AI image-generation platform is distinguished by the following features:
- EASE AND QUALITY: By making generative AI available to everyone, we are transforming the way graphics are produced for campaigns, projects, and businesses. We think that in order for our users to profit from this technology, they shouldn’t have to learn how to create lengthy, intricate prompts. Because of this, our image generator can turn even a single word or a few short, simple phrases into distinctive, diversified, and magnificent visuals. Additionally, we enable people all over the world to realize their creative ambitions without boundaries by providing an intuitive style picker and support for over 20 languages.
- CONVENIENCE: For all of your creative requirements, Shutterstock is your one-stop shop. All in one location, you can conduct a stock search, produce winning designs, and create content. If you want to go one step further, you may refine your freshly created asset with Create, our user-friendly editing tool that enables you to alter your images without being a skilled designer and integrate it with the other programs that make up Shutterstock’s Creative Flow. By bridging the gap between idea, design, and execution, you are able to produce the ideal piece of content every time. Through their current subscription, each Shutterstock customer already has access to the full set of tools.
- CONFIDENCE: As the only company to promote an ethical AI-generation model that compensates artists for their contributions, you can have confidence in us as your go-to partner for creating and obtaining the licenses for the images you require to elevate your brand. Additionally, we are constantly looking into new approaches to fairly represent underrepresented populations. We have intentionally put in mitigations against the biases that may be inherent in certain of our datasets.
