Big AI’s costs and restrictions, as well as its influence on hardware costs, are forcing users to build their own systems – just as rising regulation threatens to shut that ‘shadow AI economy’ down.

Radiologists are struggling to distinguish AI-generated chest X-rays from authentic clinical images, according to a growing body of research that raises serious questions about fraud, misdiagnosis, ...

Explore Uni 1 from Luma AI, a multimodal image model built around unified intelligence. Learn how it differs from diffusion ...

Luma AI’s Uni-1 challenges Google and OpenAI in AI image generation with stronger reasoning, lower 2K pricing, and new ...

No, the kid doesn’t stay in the picture, if AI has anything to do with it. Removing people and objects from images and video ...

Researchers have developed an AI image generator that produces images in just four steps, rather than dozens. This could bring fast, private image generation directly to consumer devices. When you ...

Part of HackerNoon's growing list of open-source research papers, promoting free access to academic material. Recent advancements in AI, especially deep learning, have contributed to a significant ...

According to PixVerse on X (Twitter), the platform introduced 365 unlimited image generation in Relax Mode covering Qwen-image, Nano Banana Pro, Nano Banana, Seedream 4.5, and Seedream 4.0, and ...

Stable Diffusion is a latent text-to-image diffusion model. For more efficiency and speed on GPUs, we highly recommended installing the xformers library. Tested on A100 with CUDA 11.4. Installation ...

Abstract: Food image generation is a typical application of text-to-image (T2I) models. The core difference between food image synthesis and other T2I tasks is that there exist complex collaborative ...