RITS

Tag: Video

  • Wan2.2: Alibaba’s Open‑Source Breakthrough in AI Video Generation

    The Wan2.2 project (hosted at Wan‑Video/Wan2.2) marks another leap forward in large‑scale, open, consumer‑accessible video generative models developed by the Wan‑AI team at Alibaba Cloud (GitHub). Released on July 28, 2025, this upgrade offers major technical advancements over the previous Wan2.1 version (Hugging Face). Key points The Wan-AI team at Alibaba Cloud released Wan2.2 on […]

  • Video Recording

    Video Recording

  • Introducing V-JEPA 2: Meta’s Self-Supervised Video World Model for Understanding, Prediction, and Planning

    Meta’s FAIR research team has just released V-JEPA 2, a cutting-edge world model trained on large-scale video data that enables AI agents to understand, predict, and even plan in the physical world. Building on the original JEPA (Joint Embedding Predictive Architecture) framework, V-JEPA 2 is pretrained on over 1 million hours of internet video and […]

  • Seaweed APT2: Real-Time Interactive Video Generation with Autoregressive Adversarial Post-Training

    Seaweed APT2 is a groundbreaking streaming video generation model designed for real-time interactive applications. Building on its predecessor (APT1), APT2 employs an autoregressive adversarial post-training paradigm that allows it to generate continuous video frames with minimal latency. At its core, the model produces a single latent frame—equivalent to four video frames—using only one network forward […]

  • Turning Your Images into 5-Second Videos with Midjourney

    Midjourney’s latest feature lets you transform any still image into a dynamic 5-second video—all from your browser. Whether you’re a digital artist, content creator, or simply curious about generative AI, this tutorial will guide you through every step of creating, customizing, and extending short videos using Midjourney’s intuitive web interface. Key points Midjourney can transform […]

  • Self Forcing: The New Holy Grail for Real-Time Video Generation?

    A new approach called Self Forcing is making waves in the field of video generation, being hailed by some as the “Holy Grail” of autoregressive video modeling. Developed by researchers from Adobe Research and UT Austin, this method promises both speed and quality—without the common pitfalls of traditional training paradigms. Key points Self Forcing is […]

  • WanGP 5.4: Unlocking High-Quality 15‑Second Audio‑Driven Video with Just 10 GB VRAM 🚀

    A new update—WanGP 5.4—has just landed, making audio-driven video generation more accessible than ever. Here’s everything you need to know: Key points WanGP 5.4 now supports Hunyuan Video Avatar and delivers 15-second speech- or song-driven video on just 10 GB of GPU memory, where 80 GB or 32 GB of VRAM had been required. WanGP, […]

  • Veo 3 Video Generation Tool Available in Beta

    Key points Veo 3 is a video generation tool with enhanced prompt adherence and physics. Veo 3 is now available to the public in beta. Veo 3, a video generation tool with enhanced prompt adherence and physics, is now available to the public in beta.

  • Google’s answer to OpenAI Sora platform

    Key points The source identifies Google’s answer to OpenAI’s Sora platform as the Flow Veo AI filmmaking tool, describing it as part of Google’s AI advancements in filmmaking. Google’s answer to OpenAI Sora platform is the Flow Veo AI filmmaking tool, which is part of Google’s AI advancements in the field of filmmaking.

  • LTX Video Distilled

    Key points The post states that the LTX Video distilled model can generate videos in seconds using a workflow with LLM prompts. The LTX Video distilled model can generate videos in seconds, with a workflow using LLM prompts.