
Most AI video tools hand you a black box: closed weights, a subscription, and no way to see what is happening under the hood. LTX takes the opposite approach. Built by Lightricks, LTX is an open foundation model that generates and simulates across video, audio, and the physical world, and it puts the weights, the code, and the control in your hands.
At the center of the model is LTX-2.5, a 22B-parameter dual-stream diffusion transformer that produces native 4K video at up to 50 frames per second, with audio and video generated together in a single pass rather than stitched together afterward. Artificial Analysis, an independent benchmarking group, currently ranks LTX among the top three AI video models in the world.
You choose how you want to use it. Download the open weights and run LTX-2.5 on your own hardware. License the model for on-premise deployment backed by enterprise support. Or build directly on LTX Studio, the production suite that turns the model into a full creative workflow. Companies like ElevenLabs, Asteria Film Co., Magnopus, and NVIDIA already rely on LTX for their own work.
LTX is not built for one-off social clips. It is infrastructure for teams that generate motion, audio, and physical environments as part of their own products and pipelines.
Learn more

Muzaic.ai is a browser-based tool that scores video automatically. You give it a cut (or a folder of cuts); it returns a finished audio mix — music, SFX, ambience and voiceover as separate layers — mastered to broadcast spec, in roughly 30 seconds per clip.
What it actually does
The pipeline runs in four stages. First it analyses the video: scenes, objects, pacing, colour and sentiment. From that it builds an audio plan and commits each concept to a clear direction (the site's example: a string quartet under a battle scene) rather than averaging toward something inoffensive. Then it composes every layer to fit the picture and the other layers — SFX land on the action, ambience ducks under speech, the voiceover is drafted from your brief rather than read out. Finally it mixes and masters the result. Existing audio in the source can be kept, replaced or mixed under.
Output is three concepts per clip, exported as MP3 or WAV. Layer balance is adjusted inside Muzaic before export; the deliverable is the finished mix, not separate stems.
The commercial angle
Pricing is metered in minutes of finished audio, not per track or per download; downloads are unlimited. Personal is free for 10 minutes a month, non-commercial only. Creator ($45/month) covers your own brand and paid ads. Studio ($249/month) is for agencies: the licence travels to the client and the legal cover extends to them too. Enterprise adds TV, radio, cinema and OOH, plus a custom contract, DPA and SLA.
What it is not
It is not a music-generation toy. The free tier exists to test the workflow on your own footage; nothing from it may be published. The target user is a team producing hundreds of ad variants a month, where the audio step is the bottleneck.
Learn more
AudioLM
AudioLM is an innovative audio language model designed to create high-quality, coherent speech and piano music by solely learning from raw audio data, eliminating the need for text transcripts or symbolic forms. It organizes audio in a hierarchical manner through two distinct types of discrete tokens: semantic tokens, which are derived from a self-supervised model to capture both phonetic and melodic structures along with broader context, and acoustic tokens, which come from a neural codec to maintain speaker characteristics and intricate waveform details. This model employs a series of three Transformer stages, initiating with the prediction of semantic tokens to establish the overarching structure, followed by the generation of coarse tokens, and culminating in the production of fine acoustic tokens for detailed audio synthesis. Consequently, AudioLM can take just a few seconds of input audio to generate seamless continuations that effectively preserve voice identity and prosody in speech, as well as melody, harmony, and rhythm in music. Remarkably, evaluations by humans indicate that the synthetic continuations produced are almost indistinguishable from actual recordings, demonstrating the technology's impressive authenticity and reliability. This advancement in audio generation underscores the potential for future applications in entertainment and communication, where realistic sound reproduction is paramount.
Learn more
Seed-Music
Seed-Music is an integrated framework that enables the generation and editing of high-quality music, allowing for the creation of both vocal and instrumental pieces from various multimodal inputs such as lyrics, style descriptions, sheet music, audio references, or vocal prompts. This innovative system also facilitates the post-production editing of existing tracks, permitting direct alterations to melodies, timbres, lyrics, or instruments. It employs a combination of autoregressive language modeling and diffusion techniques, organized into a three-stage pipeline: representation learning, which encodes raw audio into intermediate forms like audio tokens and symbolic music tokens; generation, which translates these diverse inputs into music representations; and rendering, which transforms these representations into high-fidelity audio outputs. Furthermore, Seed-Music's capabilities extend to lead-sheet to song conversion, singing synthesis, voice conversion, audio continuation, and style transfer, providing users with fine-grained control over musical structure and composition. This versatility makes it an invaluable tool for musicians and producers looking to explore new creative avenues.
Learn more