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.