MemFlow Breakthrough: Ending AI Video Forgetting with Adaptive Memory
1 days ago 高效码农MemFlow: How to Stop AI-Generated Long Videos from “Forgetting”? A Deep Dive into a Breakthrough Memory Mechanism Have you ever used AI to generate a video, only to be frustrated when it seems to forget what happened just seconds before? For example, you ask for “a girl walking in a park, then she sits on a bench to read,” but the girl’s outfit changes abruptly, or she transforms into a different person entirely? This is the notorious “memory loss” problem plaguing current long-form video generation AI—they lack long-term consistency, struggling to maintain narrative coherence. Today, we will delve into a …
InfinityStar: Revolutionizing Video Generation with Unified Spacetime Autoregressive Modeling
9 days ago 高效码农InfinityStar: Unified Spacetime Autoregressive Modeling for Visual Generation Introduction: What is InfinityStar and How Does It Address Challenges in Visual Generation? This article aims to answer the core question: What is InfinityStar, how does it unify image and video generation tasks, and why does it improve efficiency and quality? InfinityStar is a unified spacetime autoregressive framework designed for high-resolution image and dynamic video synthesis. It leverages recent advances in autoregressive modeling from both vision and language domains, using a purely discrete approach to jointly capture spatial and temporal dependencies in a single architecture. Visual synthesis has seen remarkable advancements in …
STARFlow-V: Inside Apple’s First Normalizing-Flow Video Generator You Can Actually Run
21 days ago 高效码农STARFlow-V: Inside Apple’s First Normalizing-Flow Video Generator That You Can Actually Run Today What is STARFlow-V in one sentence? It is a fully open-source, causal, normalizing-flow video model that produces 480p clips with a single forward pass—no diffusion schedule, no vector-quantization, just an invertible Transformer mapping noise to video. What exact question will this article answer? “How does STARFlow-V work, how good is it, and how do I reproduce the results on my own GPU cluster?” 1. Why Another Video Model? (The Motivation in Plain Words) Apple’s team asked a simple question: “Can we avoid the multi-step denoising circus and …
Inferix World Simulation: How The New Block-Diffusion Engine Enables Real-Time AI Video Worlds
25 days ago 高效码农Mind-Blowing: A Chinese Mega-Team Just Dropped Inferix — The Inference Engine That Turns “World Simulation” From Sci-Fi Into Reality You thought 2025 was already wild? Hold my coffee. On November 24, 2025, a joint force from Zhejiang University, HKUST, Alibaba DAMO Academy, and Alibaba TRE quietly released something that will be remembered as the real turning point of AI video: 「Inferix」. It’s not another video generation model. It’s the dedicated inference engine for the next era — the 「World Model era」. In plain English: 「Inferix lets normal GPUs run minute-long, physics-accurate, fully interactive, never-collapsing open-world videos — in real time.」 …
MotionStream: Real-Time Interactive Control for AI Video Generation
1 months ago 高效码农MotionStream: Bringing Real-Time Interactive Control to AI Video Generation Have you ever wanted to direct a video like a filmmaker, sketching out a character’s path or camera angle on the fly, only to watch it come to life instantly? Most AI video tools today feel more like a waiting game—type in a description, add some motion cues, and then sit back for minutes while it renders. It’s frustrating, especially when inspiration strikes and you need to tweak things right away. That’s where MotionStream steps in. This approach transforms video generation from a slow, one-shot process into something fluid and responsive, …
LongCat-Video: The Breakthrough in Long-Form AI Video Generation You Can’t Ignore
1 months ago 高效码农LongCat-Video: Building the Foundation Model for Long-Form Video Generation 「Core question: Why did Meituan build a new video generation model?」 Video generation is not just about creating moving images — it’s about building world models that can simulate dynamic reality. LongCat-Video is Meituan’s first large-scale foundation model designed to understand and generate temporally coherent, realistic, and long-duration videos. 1. The New Era of Long-Form Video Generation 「Core question: What problem does LongCat-Video solve?」 Most text-to-video models today can only produce a few seconds of coherent footage. As time extends, problems appear: 「Color drift」 between frames 「Inconsistent motion」 or abrupt scene …
HuMo in Depth: How to Generate 3.9-Second Lip-Synced Human Videos from Nothing but Text, an Image and a 10-Second Voice Clip
3 months ago 高效码农“ What exactly is HuMo and what can it deliver in under ten minutes? A single open-source checkpoint that turns a line of text, one reference photo and a short audio file into a 25 fps, 97-frame, lip-synced MP4—ready in eight minutes on one 32 GB GPU for 480p, or eighteen minutes on four GPUs for 720p. 1. Quick-start Walk-through: From Zero to First MP4 Core question: “I have never run a video model—what is the absolute shortest path to a watchable clip?” Answer: Install dependencies → download weights → fill one JSON → run one bash script. Below is …
VideoX-Fun: A Comprehensive Guide to AI Video Generation
3 months ago 高效码农😊 Welcome! CogVideoX-Fun: Wan-Fun: Table of Contents Introduction Quick Start Video Examples How to Use Model Addresses References License Introduction VideoX-Fun is a video generation pipeline that can be used to generate AI images and videos, train baseline models and Lora models for Diffusion Transformers. It supports direct prediction from pre-trained baseline models to generate videos with different resolutions, durations, and frame rates (FPS). Additionally, it allows users to train their own baseline models and Lora models for style customization. We will gradually support quick launches from different platforms. Please refer to Quick Start for more information. New Features: Updated …
Revolutionizing Long Video Generation: Mixture of Contexts (MoC) Breakthrough Explained
3 months ago 高效码农Breakthrough in Long Video Generation: Mixture of Contexts Technology Explained Introduction Creating long-form videos through AI has become a cornerstone challenge in generative modeling. From virtual production to interactive storytelling, the ability to generate minutes- or hours-long coherent video content pushes the boundaries of current AI systems. This article explores Mixture of Contexts (MoC), a novel approach that tackles the fundamental limitations of traditional methods through intelligent context management. The Challenge of Long Video Generation 1.1 Why Traditional Methods Struggle Modern video generation relies on diffusion transformers (DiTs) that use self-attention mechanisms to model relationships between visual elements. However, as …
Stand-In Framework Unveiled: Turn Any Photo into a Talking Video with 1% Extra Weights
4 months ago 高效码农Turn One Photo into a Talking Video: The Complete Stand-In Guide For English readers who want identity-preserving video generation in plain language What You Will Learn Why Stand-In needs only 1 % extra weights yet beats full-model fine-tuning How to create a 5-second, 720 p clip of you speaking—starting from a single selfie How to layer community LoRA styles (Studio Ghibli, cyber-punk, oil-paint, etc.) on the same clip Exact commands, file paths, and error-checklists that work on Linux, Windows, and macOS Road-map for future features that the authors have already promised 1. What Exactly Is Stand-In? Stand-In is a light-weight, …
Wan2.2 Video Generation Guide: Master Open-Source Text-to-Video Creation
4 months ago 高效码农Wan2.2 in Plain English A complete, no-jargon guide to installing, downloading, and running the newest open-source video-generation model “ Who this is for Junior-college graduates, indie creators, junior developers, and anyone who wants to turn text or images into 720 p, 24 fps videos on their own hardware or cloud instance. No PhD required. 1. Three facts you need to know first Question Short answer What exactly is Wan2.2? A family of open-source diffusion models that create short, high-quality videos from text, images, or both. What hardware do I need? 24 GB VRAM (e.g., RTX 4090) for the small 5 …
MirageLSD: How Real-Time Video AI Is Breaking the 40ms Latency Barrier
5 months ago 高效码农Breaking the Real-Time Video Barrier: How MirageLSD Generates Infinite, Zero-Latency Streams Picture this: During a video call, your coffee mug transforms into a crystal ball showing weather forecasts as you rotate it. While gaming, your controller becomes a lightsaber that alters the game world in real-time. This isn’t magic – it’s MirageLSD technology in action. The Live-Stream Diffusion Revolution We’ve achieved what was previously considered impossible in AI video generation. In July 2025, our team at Decart launched MirageLSD – the first real-time video model that combines three breakthrough capabilities: Capability Traditional AI Models MirageLSD Generation Speed 10+ seconds …
Revolutionizing Content Creation: How LTX-Video Enables Real-Time AI Video Generation
7 months ago 高效码农LTX-Video Deep Dive: Revolutionizing Real-Time AI Video Generation Introduction LTX-Video, developed by Lightricks, represents a groundbreaking advancement in AI-driven video generation. As the first DiT (Diffusion Transformer)-based model capable of real-time high-resolution video synthesis, it pushes the boundaries of what’s possible in dynamic content creation. This article explores its technical architecture, practical applications, and implementation strategies, while optimizing for SEO through targeted keywords like real-time video generation, AI video model, and LTX-Video tutorial. Technical Architecture: How LTX-Video Works 1.1 Core Framework: DiT and Spatiotemporal Diffusion LTX-Video combines the strengths of Diffusion Models and Transformer architectures, enhanced with video-specific optimizations: Hierarchical …