Stability AI has once again broken through technical barriers by launching the new Stable Diffusion 3.5 Medium model. This AI art tool aimed at the general public is not only completely free for commercial use but also achieves a perfect balance between high performance and accessibility. With its multimodal diffusion transformer (MMDiT-X) architecture and a streamlined design of 2.5 billion parameters, this model cleverly addresses the hardware threshold for ordinary users, requiring only 9.9GB of VRAM to run smoothly on most consumer-grade graphics cards.

Last night, Stability AI unveiled its most powerful model - Stable Diffusion 3.5, which is not just a single model, but a package containing three versions, designed to meet the diverse needs of researchers, business enthusiasts, startups, and enterprises. The three versions are Stable Diffusion 3.5 Large, Stable Diffusion 3.5 Large Turbo, and one that will be available on October 29.

Recently, the artificial intelligence company Stability AI announced that renowned director James Cameron will join its board. This news has undoubtedly caused a huge stir in the film industry. Everyone knows that Cameron has directed classic films such as 'Avatar', 'Terminator', and 'Titanic', and his joining is seen as a significant victory for Stability AI. Stability AI is an artificial intelligence company focused on image and video generation, best known for its product Stable Diffusion.

According to reports, Reddit users have been paying for fake, AI-generated nude photos of women. These images were created using the AI tool Stable Diffusion, appearing extremely realistic and difficult to distinguish from real photographs. A few months ago, these images first appeared on multiple Reddit forums, sparking considerable attention and commentary from users. One user even commented on a photo of Claudia, saying, 'You're beautiful!'

The German research institution LAION has created and released a new dataset, Re-LAION-5B, claiming to have removed links to suspected Child Sexual Abuse Material (CSAM). This dataset is a revised version of the old LAION-5B dataset, incorporating recommendations from the Internet Observation Foundation, Human Rights Watch, the Canadian Centre for Child Protection, and Stanford Internet Observatory. Re-LAION-5B is divided into two versions: Research and Research-Safe, with the latter additionally removing NSFW content. The dataset aims to support

Runway secretly removed the codebase of Stable Diffusion v1.5 from the Hugging Face platform, sparking significant concern in the tech community. This action was taken without notifying Hugging Face or community members, leaving developers and researchers dependent on these resources in a difficult position. Stable Diffusion v1.5 was a key part of a research project involving Runway, but was ultimately taken down due to copyright issues. Runway's....

ControlNeXt, developed by the Jia Jiaya team, is an open-source image/video generation guidance tool designed to simplify the use of AI models. This tool is lightweight and compatible with models from the Stable Diffusion family, such as SDXL and SD1.5, supporting various control modes, including edge guidance, pose control, masking, and depth of field control. Its 'weight loss secret' lies in adopting a more efficient structure, replacing the 'big eater' control branch with a 'light meal package' composed of a small number of ResNet blocks, reducing the model size.

The Google research team has released a groundbreaking technology called Alchemist, allowing users to precisely edit material properties of objects in images, such as color, gloss, and transparency, without the need for professional software or skills. The core of the technology is a 'Text-to-Image' generation model that learns to change specified material properties while keeping the shape and lighting unchanged by fine-tuning and creating synthetic datasets (including 3D models, various materials, camera angles, and lighting conditions). Experiments show that this technology improves the photorealism of images.