AI content generation is about feeding your AI models with semantic and contextual information. The result is a platform that can ‘understand’ what an item is, and how it should be used. AI creates content using semantic knowledge in any form of content including video, 3d, VR and more.
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Latest Artificial Intelligence Content News
WaTale: A free, fully local visual novel engine (Powered by SD 1.5, LayerDiffuse, and ControlNet)
Hey all. I’ve been working on WaTale, a visual novel app powered by local AI. It combines text, image, and voice models to create fully interactive, branching visual novels entirely on your own hardware. This is a free to use, hassle-free, fully bundled solution. When relying on the local generation…
Best Apps for Focus (2026): Focus Friend, Forest, Focus Traveller
Distractions? What distractions? Here are our recommendations for apps that help you stay focused on the task at hand.
Comfy raises $30M to continue building the best creative AI tool in open
Hi r/StableDiffusion, Today we’re excited to share that Comfy has raised $30M at a $500M valuation! Comfy has grown a lot over the past year, and especially over the past six months: more than 50% of our users joined the Comfy ecosystem during that period. Comfy Cloud has also grown…
Learning Long-Term Motion Embeddings for Efficient Kinematics Generation
Understanding and predicting motion is a fundamental component of visual intelligence. Although modern video models exhibit strong comprehension of scene dynamics, exploring multiple possible futures through full video synthesis remains prohibitively inefficient. We model scene dynamics orders of magnitude more efficiently by directly operating on a long-term motion embedding that…