LongCat-Video in Practice: Generate 5-Minute HD Videos from Text

November 6, 2025

In the fast-evolving world of AI video generation, LongCat-Video stands out as one of the first open frameworks capable of generating multi-minute HD videos directly from text prompts.
Developed by Meituan, this diffusion-transformer-based model pushes the boundaries of long-form video generation, achieving up to 5-minute 720p/30fps outputs with remarkable temporal consistency.
You can explore live demos and documentation directly at https://longcat-video.net.


How LongCat-Video Works

Unlike most short-clip video generators, LongCat-Video integrates three major tasks into a single pipeline:

  1. Text-to-Video (T2V) — generating motion and visuals from natural language prompts.

  2. Image-to-Video (I2V) — animating static images into cinematic scenes.

  3. Video Continuation — extending existing clips seamlessly with consistent motion and lighting.

It introduces a Block-Sparse Attention mechanism that reduces memory consumption while preserving global temporal context — a crucial step for long-video synthesis. Combined with multi-reward RLHF optimization, the model learns to balance motion fluidity and content coherence over long durations.

Learn more about the architecture and examples on the official website: https://longcat-video.net.


From Prompt to Production

Creating a 5-minute HD video with LongCat-Video is surprisingly simple:

Step 1. Write a text prompt.
Describe the scene in detail — setting, mood, camera angle, and desired motion.
Example:

“A woman walks through a rainy Tokyo street at night, reflections shimmer on wet pavement, cinematic lighting, realistic motion.”

longcat-video-in-practice.png

Step 2. Generate preview clips.
Visit https://longcat-video.net to upload your prompt or image.
LongCat-Video first produces short segments (5–10 seconds each) for quick evaluation of motion and tone.

Step 3. Extend and refine.
After user approval, the system automatically stitches and enhances segments into a continuous long-form video, preserving temporal consistency across transitions.


Applications and Use Cases

LongCat-Video’s extended-duration capability opens new creative frontiers:

  • 🎬 Cinematic storytelling — short films, trailers, and experimental visuals.

  • 🛍️ E-commerce product videos — dynamic showcases from simple descriptions.

  • 🧠 Educational and explainer content — visualize long processes or tutorials.

  • 📈 Advertising automation — scalable video campaigns generated in minutes.

Explore more creative cases and community examples on https://longcat-video.net.


Why It Matters

LongCat-Video represents a tangible step toward the concept of a World Model — an AI that understands and generates continuous spatiotemporal dynamics.
For creators and studios, it lowers the barrier to cinematic content creation, allowing anyone with imagination and a few lines of text to produce visually coherent long videos.

From concept to output, LongCat-Video redefines how we think about video generation.
It is not merely about making short clips — it’s about telling longer stories through AI.
As open-source AI models evolve, tools like LongCat-Video mark a decisive shift toward a future where creativity is measured not by skill, but by imagination.

Visit https://longcat-video.net to experience the model, try live demos, and explore how text can turn into cinematic storytelling.