Microsoft Copilot creates AI-generated Images
Several platforms have emerged as pioneers in image generation, such as DALLE·3, Midjourney, Stable Diffusion, and Adobe Firefly. These tools are easy to use, you can easily generate artistic images by describing the scene with texts. For Stable Diffusion, you can train and fine-tune the model to make it highly customized and have control over the generation process. Adobe Firefly even offers feature called generative fill, where you can fill the selected area with contents that match the context of the image. AI image generators interpret text input through natural language processing (NLP). Then they use machine learning models that learn from extensive datasets to transform the input into final image results.
There are more AI-generated images can do than you can think of. They can seamlessly blend styles from different artworks, produce realistic landscapes, or even generate imaginative creatures or scenes that go against conventional imagination. There are so many industries that can benefit from AI images:
Film, gaming and other entertainments: AI image generators can be super efficient in generating scenes and characters. Before production, creators can use them to see the approximate turnouts of certain scenes and make changes accordingly without the effort of going long ways building everything up and tearing them down. Generated scene can also be applied to films or games. For distancing backgrounds that users won’t take closer looks, creators can use rough AI-generated images to save time and energy. For closeups and more detailed views, it’s also a good idea to start with AI generated images and make alterations to them to save some time.
Advertising: AI image generators make it easier for advertising companies to generate images closely related to their product while innovative enough to catch consumers’ eyes. They can be used on branding , advertising campaigns and content creations. They can save time, money, and energy for the companies looking for artists that comply with their style while helping automate the whole production process. And they offer some extent of customization if needed.
Fashion and Design: human brain can be restricted by existing rules sometime, while AI-generated images can help them jump out of the box. Fashion designers can find inspirations from innovative or let’s say weird results produced by these generators. They may also be able to analyze current trends. With given body data and style preferences, AI image generators can give you styling suggestions and outfit recommendation.
There are still concerns raised about AI generated images though the possible benefits they can bring. The ownership and copyright of AI-generated images remain ambiguous. These contents are not copyright-protected, and there are no existing rules to protect artists whose work are taken for AI trainings. Thus attribution and licensing can be hard to decide. AI generated images can be manipulated to create deepfakes, posing risks to individual privacy and reputation. There are also huge problems related to bias. Images generated are based on the training data fed to those models. Biased training data may lead to biased results, underrepresenting and misrepresenting certain groups or features, then biased decisions will be made.
The results produced by current AI image generators are astonishing enough. We will progress and keep exploring to benefit from this technology as much as possible while figure all the ambiguities out.
