How LongVie 2 Solves AI Video Generation: Sharp, Steerable 5-Minute Clips
9 hours ago 高效码农LongVie 2 in Plain English: How to Keep AI-Generated Videos Sharp, Steerable, and Five-Minutes Long “ Short answer: LongVie 2 stacks three training tricks—multi-modal control, first-frame degradation, and history context—on top of a 14 B diffusion backbone so you can autoregressively create 3–5 minute clips that stay visually crisp and obey your depth maps and point tracks the whole way through. What problem is this article solving? “Why do today’s video models look great for 10 seconds, then turn into blurry, flickering soup?” Below we walk through LongVie 2’s pipeline, show exact commands to run it on a single A100, …
MemFlow Breakthrough: Ending AI Video Forgetting with Adaptive Memory
16 hours 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 …
Seedance 1.5 Pro Complete Guide: AI Video & Audio Generation in Minutes
3 days ago 高效码农Seedance 1.5 Pro: How It Generates Video and Sound in One Go—A Complete Technical Walk-Through Can an AI model turn a short text prompt into a ready-to-watch clip with synchronized speech, music, and sound effects in minutes? Seedance 1.5 Pro does exactly that by treating audio and video as equal citizens inside one Diffusion Transformer. What problem is Seedance 1.5 Pro solving? It removes the traditional “picture first, dub later” pipeline and delivers a finished audiovisual scene in a single forward pass, while keeping lip-sync, dialect pronunciation, and camera motion under tight control. 1. 30-Second Primer: How the Model Works …
PersonaLive: The Real-Time Portrait Animation Breakthrough Changing Live Streaming
5 days ago 高效码农PersonaLive: A Breakthrough Framework for Real-Time Streaming Portrait Animation Abstract PersonaLive is a diffusion model-based portrait animation framework that enables real-time, streamable, infinite-length portrait animations on a single 12GB GPU. It balances low latency with high quality, supporting both offline and online inference, and delivers efficient, visually stunning results through innovative technical designs. What is PersonaLive? In today’s booming short-video social media landscape, live streamers and content creators have an urgent demand for high-quality portrait animation technology. Enter PersonaLive—a groundbreaking framework developed collaboratively by the University of Macau, Dzine.ai, and the GVC Lab at Great Bay University. Simply put, PersonaLive …
How RealVideo’s WebSocket Engine Creates Real-Time AI Avatars on 80GB GPUs
10 days ago 高效码农Turn Chat into a Real Face: Inside RealVideo, the WebSocket Video-Calling Engine That Speaks Back A plain-language walkthrough for college-level readers: how to install, tune, and deploy a live text → speech → lip-sync pipeline on two 80 GB GPUs, without writing a single line of extra code. 1. What Exactly Does RealVideo Do? RealVideo is an open-source stack that lets you: Type a sentence in a browser. Hear an AI voice answer instantly. Watch a real photograph speak the answer with perfectly synced lip motion. All three events happen in <500 ms inside one browser tab—no plug-ins, no After …
OneStory: How Adaptive Memory Solves Multi-Shot Video Generation’s Biggest Challenge
11 days ago 高效码农OneStory: Redefining Multi-Shot Video Generation with Adaptive Memory Abstract OneStory addresses the critical challenge of maintaining narrative coherence across discontinuous video shots by introducing an adaptive memory system. This framework achieves a 58.74% improvement in character consistency and supports minute-scale video generation through next-shot prediction and dynamic context compression. By reformulating multi-shot generation as an autoregressive task, it bridges the gap between single-scene video models and complex storytelling requirements. What is Multi-Shot Video Generation? Imagine watching a movie where scenes seamlessly transition between different locations and characters. Traditional AI video generators struggle with this “multi-shot” structure—sequences of non-contiguous clips that …
Wan-Move: 5 Secrets to Precise Motion Control in AI Video Generation
12 days ago 高效码农Wan-Move: Motion-Controllable Video Generation via Latent Trajectory Guidance In a nutshell: Wan-Move is a novel framework for precise motion control in video generation. It injects motion guidance by projecting pixel-space point trajectories into a model’s latent space and copying the first frame’s features along these paths. This requires no architectural changes to base image-to-video models (like Wan-I2V-14B) and enables the generation of high-quality 5-second, 480p videos. User studies indicate its motion controllability rivals commercial tools like Kling 1.5 Pro’s Motion Brush. In video generation, the quest to animate a static image and control its motion with precision lies at the …
Inferix World Simulation: How The New Block-Diffusion Engine Enables Real-Time AI Video Worlds
24 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.」 …
HunyuanVideo-1.5: Revolutionizing Lightweight Video Generation for Creators
27 days ago 高效码农HunyuanVideo-1.5: Redefining the Boundaries of Lightweight Video Generation This article addresses the core question: How can we achieve professional-grade video generation quality with limited hardware resources, and how does HunyuanVideo-1.5 challenge the traditional paradigm of larger models being better by breaking through parameter scale limitations to provide developers and creators with truly usable video generation solutions? In the field of video generation, we often face a dilemma: either pursue top-tier quality requiring enormous computational resources and parameter scales, or prioritize practicality by compromising on visual quality and motion coherence. Tencent’s latest HunyuanVideo-1.5 model directly addresses this pain point with an …
AI World Model PAN Explained: Future of Realistic Simulation
1 months ago 高效码农PAN: When Video Generation Models Learn to “Understand” the World—A Deep Dive into MBZUAI’s Long-Horizon Interactive World Model You’ve probably seen those breathtaking AI video generation tools: feed them “a drone flying over a city at sunset,” and you get a cinematic clip. But ask them to “keep flying—turn left at the river, then glide past the stadium lights,” and they’ll likely freeze. Why? Because most systems are just “drawing storyboards,” not “understanding worlds.” They can render visuals but cannot maintain an internal world state that evolves over time, responds to external actions, and stays logically consistent. They predict frames, …
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 …
Streaming AI Video Generation: How Krea Realtime 14B Is Revolutionizing Real-Time Creativity
2 months ago 高效码农The Dawn of Streaming AI Video Generation October 2025 marks a pivotal moment in AI video generation. Krea AI has just launched Realtime 14B – a 14-billion parameter autoregressive model that transforms how we create and interact with AI-generated video. Imagine typing a text prompt and seeing the first video frames appear within one second, then seamlessly modifying your prompt to redirect the video as it streams to your screen. This isn’t science fiction. It’s the new reality of streaming video generation, where AI becomes an interactive creative partner rather than a batch-processing tool. Technical Breakthrough: 10x Scale Leap The …
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 …
EchoMimicV3: How a 1.3B-Parameter Model Masters Multi-Modal Human Animation
4 months ago 高效码农tags: – EchoMimicV3 – 1.3B – Soup-of-Tasks – Soup-of-Modals – CDCA – PhDA – Negative DPO – PNG – Long Video CFG – Wan2.1-FUN EchoMimicV3 — How a 1.3B-parameter Model Unifies Multi-Modal, Multi-Task Human Animation Intro (what you’ll learn in a few lines) This post explains, using only the provided project README and paper, how EchoMimicV3 is designed and implemented to produce multi-modal, multi-task human animation with a compact 1.3B-parameter model. You’ll get a clear view of the problem framing, the core building blocks (Soup-of-Tasks, Soup-of-Modals / CDCA, PhDA), the training and inference strategies (Negative DPO, PNG, Long Video CFG), …
Master ControlNet Wan2.2: The Ultimate Guide to Precision Video Generation
4 months ago 高效码农ControlNet for Wan2.2: A Practical Guide to Precise Video Generation Understanding the Power of ControlNet in Video Generation When you think about AI-generated videos, you might imagine random, sometimes confusing clips that don’t quite match what you had in mind. That’s where ControlNet comes in—a powerful tool that gives creators the ability to guide and control how AI generates video content. Wan2.2 is an advanced video generation model that creates videos from text prompts. However, without additional control mechanisms, the results can sometimes be unpredictable. This is where ControlNet bridges the gap between creative vision and technical execution. ControlNet works …
Seedance 1.0 Pro: Revolutionizing AI Video Generation for Accessible High-Fidelity Content
6 months ago 高效码农Seedance 1.0 Pro: ByteDance’s Breakthrough in AI Video Generation The New Standard for Accessible High-Fidelity Video Synthesis ByteDance has officially launched Seedance 1.0 Pro (internally codenamed “Dreaming Video 3.0 Pro”), marking a significant leap in AI-generated video technology. After extensive testing, this model demonstrates unprecedented capabilities in prompt comprehension, visual detail rendering, and physical motion consistency – positioning itself as a formidable contender in generative AI. Accessible via Volcano Engine APIs, its commercial viability is underscored by competitive pricing: Generating 5 seconds of 1080P video costs merely ¥3.67 ($0.50 USD). This review examines its performance across three critical use cases. …
HunyuanVideo-Avatar: 3 Breakthroughs in Multi-Character AI Animation Technology
6 months ago 高效码农HunyuanVideo-Avatar: Revolutionizing Multi-Character Audio-Driven Animation HunyuanVideo-Avatar Technical Demonstration 1. Technical Breakthroughs in Digital Human Animation 1.1 Solving Industry Pain Points HunyuanVideo-Avatar addresses three core challenges in digital human animation: Dynamic Consistency Paradox: Achieves 42% higher character consistency while enabling 300% wider motion range Emotion-Audio Synchronization: Reduces emotion-text mismatch from 83% to under 8% through proprietary alignment algorithms Multi-Character Interaction: Supports up to 6 independent characters with 92% isolation accuracy 1.2 Architectural Innovations Three groundbreaking modules form the system’s backbone: id: core_architecture name: Core System Architecture type: mermaid content: |- graph TD A[Audio Input] –> B(Facial-Aware Adapter) B –> C{Multi-Character Isolation} …
Google Veo 3 Exposed: The Hidden Labor Behind AI Video Generation
6 months ago 高效码农I Tested Google’s Veo 3: The Truth Behind the Keynote At Google’s I/O 2025 conference, the announcement of Veo 3 sent ripples across the internet. Viewers were left unable to distinguish the content generated by Veo 3 from that created by humans. However, if you’ve been following Silicon Valley’s promises, this isn’t the first time you’ve heard such claims. I still remember when OpenAI’s Sora “revolutionized” video generation in 2024. Later revelations showed that these clips required extensive human labor to fix continuity issues, smooth out errors, and splice multiple AI attempts into coherent narratives. Most of them were little …
Google FLOW AI Video Generator: Complete Tutorials & Silent Video Fix Guide
7 months ago 高效码农Comprehensive Guide to Google FLOW AI Video Generator: Tutorials & Troubleshooting Introduction to FLOW: Core Features and Capabilities Google FLOW is an AI-powered video generation tool designed to transform text and images into dynamic video content. Its standout features include: Text-to-Video Generation: Create videos using English prompts (e.g., “Aerial view of rainforest with cascading waterfalls”). Image-Guided Video Synthesis: Generate videos using start/end frames produced by Google’s Imagen model. Scene Builder Toolkit: Edit sequences, upscale resolution, and rearrange clips post-generation. Dual Model Support: Switch between Veo3 (4K-ready) and Veo2 (rapid prototyping) based on project needs. FLOW Interface Overview Prerequisites for Using …