It helps to generate 3D objects for virtual worlds. You can get a whole series of cars, animals, furniture, or other items that are varied, but still a part of a family.
Graeme Fulton explores how photo stocks work with generated images. New products like Prompt Hero & GhostlyStock emerge, while classic companies are taking little steps: Shutterstock partners with DALL-E 2, Adobe Stock opened submissions with limitations (you can't copy an existing style). Another review by Alina Valyaeva.
Type a rough description of a scene and it will generate a short video matching this text. Google Imagen Video and Nvidia Align Your Latents are similar concepts.
A simple way to stylize avatars in one of popular illustration styles. It became possible with DreamBooth technique from Google. Lots of similar tools like Avatar AI & AI Profile Picture Generator exist.
A huge gallery of generated full size people. They also have gazillion avatars.
They added an option for generative backgrounds for videos. It's a huge audence for the concept.
The tool creates realistic photos and illustrations from a text description (how it works). It's open source, which led to enormous popularity. As a result, they have numerous user interfaces like web, iOS, macOS, Windows & Figma. There are specialized branches (e.g. for textures, 3D, photo editing). Fan projects blossom too (e.g. modernizing MS-DOS games or Fallout 2, making illustrative QR-codes). Established design tools implement it too (see Canva and Blender).
These faces are actually generated, not just tweaked real photos of people. It's a major privacy risk — researchers backtracked photos from a popular face generator to find original people.
Abstract art generator via text prompt. It's one of the most spectacular and it's launched before DALL-E-like models.
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