Muse Video
Muse Video is Meta’s upcoming video generation model from Meta Superintelligence Labs, previewed alongside the launch of Muse Image. The model is built on the same pretraining foundation as Muse Image and is designed to generate high-fidelity videos with native audio support. Muse Video focuses on prompt adherence, visual realism, temporal consistency, and the ability to create short scenes with clear motion, continuity, and audio context. It can generate a wide range of video styles, including cinematic footage, UGC-style ads, animal scenes, product commercials, handheld point-of-view clips, and realistic moments with sound effects, voices, and music. Meta is continuing to improve areas such as audio-video synchronization and physically accurate fast motion before broader release. Coming soon to creators and Meta AI, Muse Video is positioned as a powerful tool for generating dynamic media across Meta’s creative ecosystem.
Learn more
Veo 3.1
Veo 3.1 builds on the capabilities of the previous model to enable longer and more versatile AI-generated videos. With this version, users can create multi-shot clips guided by multiple prompts, generate sequences from three reference images, and use frames in video workflows that transition between a start and end image, both with native, synchronized audio. The scene extension feature allows extension of a final second of a clip by up to a full minute of newly generated visuals and sound. Veo 3.1 supports editing of lighting and shadow parameters to improve realism and scene consistency, and offers advanced object removal that reconstructs backgrounds to remove unwanted items from generated footage. These enhancements make Veo 3.1 sharper in prompt-adherence, more cinematic in presentation, and broader in scale compared to shorter-clip models. Developers can access Veo 3.1 via the Gemini API or through the tool Flow, targeting professional video workflows.
Learn more
Pika Soundtrack
Pika Soundtrack is a video-to-audio model that turns silent video into a native soundtrack complete with motion-aware sound effects, music, ambience, and voiceover that follow what happens on screen. Users can leave the prompt blank to generate a full soundscape automatically or provide direction specifying what the model should emphasize, include, or leave out. Rather than simply generating sound with video attached, the model is designed to understand what is happening in a scene, place each sound at the right moment, and keep every audio layer coherent throughout the full video. This synchronization approach allows sound effects, ambience, music, and speech to feel as though they belong naturally within the same scene. Pika reports that, in its full-duration benchmark, Soundtrack achieved the strongest semantic alignment and lowest audiovisual desynchronization among the models tested, including LTX-2.3 Foley V2A, HunyuanVideo-Foley, and MMAudio v2.
Learn more
Mirelo AI
Mirelo AI is an AI-powered sound generation and editing platform designed to bring videos to life with synchronized, realistic audio. Users can upload their footage and automatically generate footsteps, impacts, Foley, ambience, and sound effects that match on-screen action, eliminating the need to search for, trim, and sync individual sounds manually. With Mirelo SFX 2.0, users can remove unwanted background music while preserving existing dialogue, generate clean sound around speech, and maintain consistent audio across multiple clips. It supports videos up to 10 minutes long, enabling users to create one coherent soundtrack for an entire edit. Its browser-based Studio provides tools to generate, extend, loop, replace, and refine audio, alongside custom background music generation and text-to-sound effects. Audio-to-MIDI functionality converts audio into editable MIDI and MusicXML files.
Learn more
