MuseNet vs. Muse Video

We have introduced MuseNet, a sophisticated deep neural network that can generate 4-minute compositions using ten unique instruments, effortlessly integrating genres from country music to the timeless works of Mozart and even the legendary tunes of the Beatles. Instead of being explicitly programmed with musical principles, MuseNet discerns and internalizes patterns of harmony, rhythm, and stylistic nuances by predicting the next note in an extensive database of MIDI files. This cutting-edge model utilizes the same unsupervised learning techniques as GPT-2, a powerful transformer model aimed at forecasting the subsequent element in a sequence, applicable to both audio and text. With MuseNet's ability to grasp various musical styles, we can produce distinctive combinations of musical creations. We look forward to seeing how musicians, as well as individuals without formal training, will creatively utilize MuseNet to generate original works! Users have the option to choose a particular composer or style, and they may start with a familiar piece, enabling them to explore the diverse spectrum of musical styles that the model can generate. This not only enhances artistic creativity but also provides a platform for innovative experimentation in the world of music. The versatility and adaptability of MuseNet promise to inspire countless new musical adventures.

Muse Video is Meta’s previewed AI video generation model from Meta Superintelligence Labs, created to bring high-quality video generation into Meta AI and creator workflows. It was introduced alongside Muse Image as one of Meta’s first media generation models from the new lab, with both models sharing the same pretraining foundation. Muse Video is designed to create short videos with strong prompt adherence, visual fidelity, temporal consistency, and native audio support. The model can generate scenes that include realistic motion, camera movement, environmental sound, voice, music, foley, and cinematic structure. Example use cases include animal clips, product ads, first-person nature footage, vertical UGC-style commercials, branded video concepts, and short continuous scenes with a clear beginning, action, and payoff. Muse Video is built for prompts that require both visual and audio direction, such as synchronized speech, diegetic sound, music beds, product sound effects, and natural scene ambience. Meta says the model performs competitively on human-preference video generation benchmarks and is continuing to improve in areas where video models often struggle. Those areas include better audio-video synchronization, more physically accurate fast motion, and stronger consistency across complex moving subjects. The model is expected to come soon to creators and Meta AI, where it will expand Meta’s generative tools beyond still images into dynamic video content. Meta also plans to extend its Content Seal watermarking system to video, helping people identify AI-generated media. By combining video generation, native audio, realistic scene construction, and future integration across Meta products, Muse Video is positioned as a major creative tool for social content, advertising, storytelling, and brand media.