AutoMV - M-A-P open source free music video generation system in conjunction with the North Post, South University, etc.
What is AutoMV?
AutoMV is an open source music video generation system developed by the M-A-P team in collaboration with several universities, which can automatically generate coherent music videos based on complete songs without training. adopting a multi-intelligence collaborative model, it includes modules for music analysis, scriptwriting, directing, and quality control, etc., and can accurately analyze lyrics, beats, and song structure, and ensure consistency of characters through a library of characters. Compared with traditional manual production (costing about $10,000), AutoMV costs only $15 and can generate a high-quality MV in 30 minutes, and the technology surpasses existing commercial tools in terms of synchronization of audio and video, and narrative coherence. The project has opened source code and provided demo demonstrations, suitable for independent musicians, UP owners and other content creators to produce professional-grade MVs at low cost.

Features of AutoMV
- Multi-Intelligence CollaborationIt adopts a multi-intelligent system architecture, where different intelligences are responsible for music pre-processing, scriptwriting, directing, video generation and quality auditing, etc. Each of them plays its own role and works closely together to realize the automated generation of music videos from songs to complete music videos.
- No training required: There is no need for additional training of the model, and users can use it directly, greatly reducing the threshold of use and time cost.
- Low generation costs: The cost of generating a music video is about $15 per song, a significant reduction in cost compared to traditional music video production methods, enabling more creators to experiment with making music videos.
- Strong musical understanding: It can deeply analyze the structure, style, mood, lyrics and other aspects of the song's characteristics, providing a solid foundation for generating music videos that are highly matched to the song.
- Character and scene consistency: By establishing a shared character library, it ensures that the character images remain consistent throughout the song, while realizing smooth transitions between different scenes to ensure the coherence and wholeness of the video.
- High generation qualityThe introduction of "AI quality inspectors" to conduct multi-dimensional evaluation of generated content ensures that every shot meets quality standards, thus improving overall video quality.
- Well-established assessment system: A set of evaluation benchmarks containing four major dimensions and twelve fine-grained metrics is proposed, which can comprehensively and meticulously evaluate the quality of generated music videos.
- Fusion of technology and art: Not only focusing on the technical realization, but also on the artistic expression of the music video, such as visual composition, creative novelty, etc., trying to find a balance between technology and art.
- Highly scalable: The system is designed to be flexible and can be expanded and optimized according to different needs, such as adding new intelligent body functions and improving generation algorithms.
- open source sharing: As an open source project, the code and related resources are made public to facilitate developers to research, study and further development, and promote the development of music video generation technology.
AutoMV's Core Advantages
- Low cost and high efficiency: It costs only about $15 per song to generate and is directly usable without additional training, dramatically lowering the threshold and cost of music video production.
- Deep Music Understanding: Accurately extract features such as song structure, style, mood and lyrics through a variety of music processing tools to provide rich and accurate context for video generation.
- multi-intelligence unit (MIM) synergyIt adopts a multi-intelligent body collaboration model, with a clear division of labor among the intelligent bodies, and automates the whole process from scriptwriting to directing to generating and reviewing, ensuring the consistency and high quality of video generation.
- Character and scene consistencyThe shared character library ensures that the character images remain consistent throughout the song, while realizing smooth transitions between different scenes to enhance the overall coherence of the video.
- High-quality generationThe introduction of "AI quality inspector", which evaluates the generated content from multiple dimensions, ensures that each shot meets the quality standards and improves the overall video quality.
- Well-established evaluation system: A set of evaluation benchmarks containing four dimensions and twelve fine-grained metrics are proposed, which can comprehensively and meticulously evaluate the quality of generated music videos.
What is the official website of AutoMV
- Project website:: https://m-a-p.ai/AutoMV/
- GitHub repository:: https://github.com/multimodal-art-projection/AutoMV
- arXiv Technical Paper:: https://arxiv.org/pdf/2512.12196
Who AutoMV is for
- independent musician: Generate high-quality music videos for your music works quickly, save production cost and time, and enhance the dissemination of your works.
- Small music studios: Efficiently produce a variety of music videos within a limited budget to meet the needs of different customers and enhance market competitiveness.
- Video Creators: Quickly generate creative music video footage for social media posting or other video projects to enhance the appeal of your content.
- Advertising & Marketing Team: Quickly generate accompanying music videos for branded music or advertising songs for advertising and social media promotion.
- educator: Used in teaching to help students understand the music video production process or to quickly generate example videos for instructional projects.
- Video platform creators: Generate music video content quickly to enrich the video library, attract more viewers and increase platform activity.
© Copyright notes
Article copyright AI Sharing Circle All, please do not reproduce without permission.
Related articles
No comments...




