Revolutionary AI Video Generation

Pusa AI Advanced Video Generation

Experience the future of AI-powered video creation. Transform text into stunning videos with unprecedented quality, speed, and creativity using our cutting-edge Pusa AI technology.

Pusa V1 Hero Demo Video
5x
Faster Generation
200x
Cheaper Training
Open
Source

What is Pusa AI?

Experience the future of AI-powered video creation with our cutting-edge platform

Advanced Technology

Built on Alibaba's Juan 2.1 foundation with innovative vectorized timestep adaptation technology

Open Source

Freely available for creators, researchers, and developers worldwide

Try Demo

Experience the power of Pusa V1 with our interactive demonstration

Revolutionary AI Video Generation Technology

Pusa AI is an open source AI video generation model that transforms text descriptions into high-quality videos. Built on Alibaba's Juan 2.1 foundation, Pusa AI represents a significant advancement in text-to-video technology, offering faster processing speeds and superior quality compared to its predecessors.

The model excels at creating coherent, realistic videos from simple text prompts, making video generation accessible to creators, researchers, and developers worldwide. With its innovative vectorized timestep adaptation technique, Pusa V1 can control the timing of events in videos with remarkable precision, resulting in more natural and engaging content.

Pusa V1 Image-to-Video: Horse Demo
5x
Faster
200x
Cheaper

Overview of Pusa V1

Key specifications and technical details of our advanced AI video generation model

AI ModelPusa V1
CategoryText-to-Video Generation
Base ModelAlibaba Juan 2.1
Speed Improvement5x Faster than Base Model
Training Cost200x Cheaper than Juan 2.1
Dataset Size2500x Smaller than Base Model
LicenseOpen Source
GitHub Repositorygithub.com/Yaofang-Liu/Pusa-VidGen
Research Paperarxiv.org/abs/2506.15838

Key Features of Pusa AI

Explore the powerful and innovative features that make Pusa AI a leading AI video generation platform

Text-to-Video Generation

Create videos directly from text descriptions with high coherence and quality. Simply input a prompt and watch as Pusa AI generates realistic video content.

Image-to-Video Conversion

Transform static images into dynamic videos by using them as starting frames. Pusa AI can animate any image with natural motion and transitions.

Start-End Frame Control

Provide both starting and ending images to guide video generation. The AI fills in the intermediate frames to create smooth transitions between the two points.

Video Extension

Extend existing videos by providing the first few frames. Pusa AI can naturally continue video sequences, making short clips longer and more complete.

Vectorized Timestep Adaptation

Advanced timing control technology that allows precise management of events and actions within generated videos, resulting in more realistic and coherent content.

Multiple Camera Views

Generate videos with different camera angles and perspectives, including 360-degree views, providing comprehensive visual coverage of generated scenes.

Examples of Pusa V1 in Action

Discover the incredible capabilities of our AI video generation model through real-world examples

Text-to-Video Generation

Pusa V1 can create videos from simple text prompts. For example, describing "a car changing from gold to white" produces a smooth transformation video. The model handles complex scenarios like "a person eating a hot dog" with remarkable realism, capturing natural movements and expressions.

Demo credit: yaofang-liu.github.io

Image-to-Video Animation

Using a single image as a starting point, Pusa V1.0 can animate static content. The model excels at creating natural motion, whether it's a person getting up from a chair and stretching, or complex scenes with multiple moving elements.

Demo credit: yaofang-liu.github.io

Creative and Abstract Content

Pusa V1 demonstrates impressive creativity with abstract concepts. Examples include microscopic views of cells forming smiley faces, or an ice cream machine extruding transparent frogs. These showcase the model's ability to handle unusual and imaginative prompts.

Demo credit: yaofang-liu.github.io

Action and Movement Scenes

The model handles dynamic content exceptionally well. Scenes like "a piggy bank surfing" or "a woman running through a library with flying papers" demonstrate Pusa V1's capability to create coherent action sequences with proper physics and timing.

Demo credit: yaofang-liu.github.io

360-Degree Video Generation

Pusa V1 can create immersive 360-degree videos, such as "a camel walking in the desert." This feature opens possibilities for virtual reality content and panoramic video experiences.

Demo credit: yaofang-liu.github.io

Video Extension Capabilities

Given the first 13 frames of a video, Pusa V1 can extend it to 81 frames, maintaining consistency and quality throughout the extended sequence. This feature is particularly useful for content creators who want to lengthen their videos.

Demo credit: yaofang-liu.github.io

🎬

InfiniteTalk Video Cases

Case 1
Case 2
Case 3

Technical Architecture of Pusa V1

Built on cutting-edge AI technology with innovative optimization techniques

Performance Metrics

Generation Speed5x Faster
Training Cost200x Cheaper
Model Size2500x Smaller
Inference StepsFewer Required
GPU RequirementCUDA 12.4+

Supported Formats & Processing

Input Formats

Text prompts in natural language
Image files (JPG, PNG, WebP)
Video sequences (MP4, MOV, AVI)
Audio descriptions (MP3, WAV)

Output Formats

MP4 videos (H.264, H.265)
WebM files (VP9 codec)
GIF animations
Frame sequences (PNG, JPG)

Processing Capabilities

Real-time generation
Batch processing
Cloud deployment
Edge computing support

Pros & Cons

Understanding the strengths and current boundaries of Pusa V1 technology

Pros

Lightning Fast

5x faster generation speed compared to traditional models

Cost Effective

200x cheaper training costs for developers and researchers

High Quality

Maintains exceptional video quality despite optimizations

Open Source

Freely available for the global AI community

Advanced Technology

Vectorized timestep adaptation for precise timing control

Multiple Modes

Text-to-video, image-to-video, and video extension capabilities

Cons

Limited Resolution

Currently supports up to 1080p video output

Processing Time

Complex scenes may require longer generation time

Hardware Requirements

Optimal performance requires CUDA-compatible GPU

Content Guidelines

Must comply with ethical AI usage policies

Video Length

Limited to shorter video sequences for optimal quality

Scene Complexity

May struggle with very complex multi-object scenes

Try Pusa V1.0 Demo

Experience Pusa V1's revolutionary capabilities with our interactive demo. Generate stunning videos from text descriptions and witness the future of AI video creation in real-time.

Text-to-Video Generation
Real-time Processing
Instant Results

No registration required • Free to use • Instant access

How to Use Pusa V1

1

Setup and Installation

git clone https://github.com/PusaAI/PusaAI
cd PusaAI
2

Choose Generation Mode

conda create -n pusaai python=3.10
conda activate pusaai
pip install -r requirements.txt
3

Input Your Content

For text-to-video: Write a clear, descriptive prompt. For image/video modes: Upload your source material in supported formats.

4

Configure Parameters

Adjust settings like video length, resolution, and generation quality to match your requirements and hardware capabilities.

5

Generate and Export

Run the generation process and save your output video in your preferred format for further editing or sharing.

Pusa V1 FAQs

Get answers to the most commonly asked questions about our AI video generation platform

What makes Pusa V1 different from other video generation tools?

Pusa V1 stands out through its advanced vectorized timestep adaptation technology, 5x faster inference speed, and significantly lower training costs. Unlike traditional tools, it maintains coherent video flow and contextual relevance across different generation modes.

What are the system requirements for running Pusa V1?

Pusa V1 requires Python 3.10+, CUDA 12.4+ compatible GPU for optimal performance, and at least 16GB RAM. The system can run on CPU-only setups but with significantly reduced performance and generation speed.

Can I train Pusa V1 on my own dataset?

Yes, Pusa V1 supports custom training on your own datasets. The platform provides comprehensive training scripts and documentation for fine-tuning models on domain-specific content, with 200x cheaper training costs compared to base models.

How long does it take to generate videos?

Video generation typically takes 10-60 seconds depending on length, resolution, and complexity. Thanks to our 5x speed improvement, Pusa V1 processes requests much faster than traditional models while maintaining high quality output.