Videomae Base
Open Weights โข Released 2022-08-03 โข Last Verified 2026-08-06
Videomae Base is a temporal video generation model developed by MCG NJU. Designed for high-definition text-to-video and image-to-video synthesis, maintaining consistent physics simulation, camera motion stability, and temporal object persistence across frames.
Plain English Summary (What is this model & who is it for?)
Think of Videomae Base as an AI video studio. You type a prompt or upload an image, and it generates realistic high-definition video clips with consistent camera motion and realistic physics.
๐ก Real-World Use Cases & Practical Examples
๐ How to Run & Use This Model (Step-by-Step Guide)
Simple setup instructions for everyday users and developers.
Download a One-Click App (No Coding Required)
Download a free local AI launcher like LM Studio (lmstudio.ai) or Ollama (ollama.com) on your Mac, Windows, or Linux PC.
Load the Model
In LM Studio, search for "Videomae Base". In Ollama, open your terminal and run "ollama run mcg-nju-videomae-base".
Start Chatting or Generating
Type your text instructions or upload files into the app. The AI runs 100% privately on your hardware without internet requirement!
Developer API Integration
Developers can integrate Videomae Base directly via Python (using Hugging Face transformers/diffusers) or connect via local OpenAI-compatible REST server (http://localhost:11434).
Benchmark Performance
Hardware Requirements for Local Running
Requires dedicated GPU with 16GB+ VRAM recommended for fast local inference.
Strengths
- โขStrong Instruction Following & Alignment
- โขMulti-Turn Dialogue Context Stability
- โขLow-Latency Batch Inference Execution
- โขSupport for Structured JSON & Schema Enforcing
Limitations & Weaknesses
- โขRequires local GPU hardware for self-hosting
import openai
client = openai.OpenAI()
response = client.chat.completions.create(
model="mcg-nju-videomae-base",
messages=[
{"role": "system", "content": "You are an expert AI assistant."},
{"role": "user", "content": "Explain quantum computing in 2 sentences."}
]
)
print(response.choices[0].message.content)Pricing Overview
Prices subject to provider tiers and volume discounts. Check documentation for current token rates.
Model Tags
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