GitHub - modelscope/motionagent: MotionAgent is your AI assistent to convert ideas into motion pictures.
🚀 Introducing MotionAgent by ModelScope! 🎬✨ This AI tool leverages deep learning to transform scripts into stunning motion pictures. 🎥🤖 Create videos, images, music, and more with ease. Dive into the world of AI-generated movie magic! 🌟🔮 #AI #MotionAgent #ModelScope
- **MotionAgent** is a tool for generating videos from user scripts, leveraging a deep learning model.
- Users can create scripts, generate movie stills, videos, images, and compose background music using MotionAgent.
- **ModelScope** powers the MotionAgent model and it's an open-source model community.
- Script generation is based on LLM models like Qwen-7B-Chat, offering various styles.
- Users can specify story themes and backgrounds for script generation.
- Movie still generation produces corresponding scene images.
- Video generation allows for high-resolution video creation from images.
- Music generation feature supports custom style background music composition.
- MotionAgent is compatible with python3.8, torch2.0.1, CUDA11.7 on Ubuntu 20.04 with Nvidia-A100 40G.
- GPU memory requirement is 36GB, and it's recommended to reserve over 50GB storage space.
- Installation involves creating a conda virtual environment and installing dependencies from requirements.txt.
- Clear_cache switch is advised for notebooks or disk memory less than 100GB.
- MotionAgent presently supports single-card GPU but can be configured for multiple cards.
- **ModelScope** hosts various models like Qwen-7B-Chat, SDXL 1.0, I2VGen-XL, and MusicGen.
- **ModelScope Library** is a model ecosystem repository under Damo Academy Moda project on GitHub.
- Project is licensed under Apache License Version 2.0.
- MotionAgent acts as an AI assistant for translating ideas into motion pictures.