Transform text into stunning videos with perfect audio synchronization
MTVCraft separates audio into three distinct tracks - speech, sound effects, and background music - for unprecedented synchronization accuracy.
Built on the MTV framework with state-of-the-art diffusion models and temporal control mechanisms for superior video quality.
Fully open-source under Apache-2.0 license, empowering developers and researchers to build upon MTVCraft's foundation.
Generate 4-6 second videos with perfect audio sync in minutes, not hours. Optimized pipeline for efficient processing.
Enter a text prompt and watch MTVCraft create a synchronized video with speech, sound effects, and music.
MTVCraft is built upon groundbreaking research in multi-stream temporal control for video generation. The MTV (Multi-stream Temporal Video) framework represents a paradigm shift in how AI models understand and synchronize audio-visual content.
# Clone the repository
git clone https://github.com/baaivision/MTVCraft.git
# Install dependencies
conda create -n mtvcraft python=3.9
conda activate mtvcraft
pip install -r requirements.txt
# Download pretrained weights
python download_weights.py
# Generate video from text
from mtvcraft import MTVCraft
model = MTVCraft()
video = model.generate(
prompt="A cat playing piano",
duration=4.0
)
video.save("output.mp4")
YouTube and TikTok creators use MTVCraft to generate unique video intros, transitions, and effects that perfectly sync with their audio tracks.
Rapidly prototype cutscenes and cinematics with MTVCraft's AI-driven video generation, saving time and resources in pre-production.
Create compelling video ads and social media content with MTVCraft's ability to generate videos that match brand messaging and music.
Educators leverage MTVCraft to create engaging educational videos with synchronized narration and visual demonstrations.
Join thousands of creators using MTVCraft to bring their ideas to life