4.4 out of 5 stars
(182 Ratings)
LTX builds open world models, AI systems that generate, simulate, and shape video, audio, and the physical world. Lightricks created LTX so that developers, studios, and enterprises can own the model they build on, not just rent access to someone else's.
The current release, LTX-2.5, is a 22B-parameter dual-stream diffusion transformer. It renders native 4K footage at up to 50fps and produces synchronized audio and video in one pass, no separate tools required. Independent benchmarks from Artificial Analysis place LTX in the top three AI video models worldwide.
There is no single way to work with LTX. Pull the open weights and run the model yourself on your own machines. Take a commercial license for on-premise deployment with full enterprise support. Or use LTX Studio, the packaged production suite for creative teams that want the model without managing the infrastructure. ElevenLabs, Asteria Film Co., Magnopus, and NVIDIA all build on it today.
If you need a quick clip for social media, look elsewhere. LTX exists for AI teams turning video, audio, and simulation into part of their own product, not a novelty.
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5.0 out of 5 stars
(2 Ratings)
Muzaic.ai removes the audio bottleneck from video production. For most marketing teams and agencies, adding music, sound and voiceover to a finished cut is still manual: around six hours per mix, a handful of videos a week, and copyright claims as an ongoing risk. Muzaic turns a folder of cuts into finished, scored ads in one pass, so the audio step runs at the same speed as the rest of the pipeline.
What changes for the business
Speed: a finished four-layer mix (music, SFX, ambience, voiceover) in about 30 seconds instead of six hours by hand.
Scale: 1,500+ videos a week per team, with one campaign brief driving every clip.
Approvals: client sign-off from a single shareable review link instead of email rounds.
Risk: 100% commercial licence on every paid plan, with legal cover included; on the Studio plan the licence and cover extend to your clients.
Reach: language versions of a finished mix in one click.
How teams use it
Describe the campaign once with style tags and direction sliders, drop in single cuts or an entire folder, choose which layers and how many versions you want, and review three concepts per clip side by side. Export in MP3 or WAV; downloads are unlimited.
Pricing built for predictable budgets
Plans are priced by what you are allowed to do with the audio; within each plan you choose a monthly volume in minutes of finished audio, so cost scales with output rather than with experimentation.
Personal: free forever, 10 minutes a month, non-commercial use. No credit card.
Creator: from $45/month for brands publishing their own work and paid ads.
Studio: from $249/month for agencies and production houses delivering scored campaigns to clients.
Enterprise: custom pricing for TV, radio, cinema and OOH, with dedicated capacity, DPA and SLA.
Annual billing saves 20%. A 30-minute live demo on your own campaign is available before you commit.
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Lyria 3.5
Lyria 3.5, the newest AI-driven music generation model released by Google DeepMind, is designed to help users create more complex and high-quality compositions with greater musical and technical finesse. By integrating this model into Google Flow Music, it enhances the creative process by providing intricate melodic structures and a heightened understanding of rhythm, arrangement, tempo, dynamics, and acoustic nuances. The advancements in lyric generation capabilities lead to improved alignment with user prompts and a better grasp of song structure, while the enhanced vocal features offer more authentic expression, emotional resonance, and clearer articulation. Users have the freedom to begin with a simple idea or refine their vision by detailing aspects such as genre, instrumentation, mood, key, tempo, vocal style, language, and production elements, resulting in a personalized sound experience. Lyria 3.5 supports various song durations, enabling creators to request anything from a concise 60-second clip to a complete track of up to three minutes. Additionally, the model is capable of producing music across an array of genres and languages, covering styles as diverse as pop, funk, R&B, reggaeton, and jazz fusion, which positions it as a highly adaptable resource for musicians globally. This versatility not only inspires artists to push their creative boundaries but also fosters collaboration across different musical styles and cultural backgrounds.
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Lyria 3
Lyria 3 represents Google DeepMind’s most advanced step forward in AI-powered music generation, offering creators the ability to produce professional-quality audio using natural language prompts. Designed to understand musicality at a structural level, it captures rhythm, harmony, arrangement, and vocal nuance to create tracks that feel cohesive and intentional. Users can start with a simple idea, such as a mood or theme, and progressively refine technical elements like tempo, genre, instrumentation, and vocal style. The model supports multilingual vocals and spans a broad spectrum of global genres, enabling experimentation across cultural and stylistic boundaries. A unique feature allows users to upload images and transform them into custom musical compositions, blending visual inspiration with sonic creativity. Lyria 3 was developed with feedback from musicians and producers to ensure outputs reflect authentic musical flow rather than fragmented loops. Tracks can be exported in high-fidelity formats suitable for background scoring, digital content, or large-scale performance use. The model family also includes real-time and open creative variants, expanding options for interactive and experimental workflows. To promote responsible AI development, Lyria 3 incorporates robust content filtering and imperceptible SynthID watermarking to identify AI-generated audio. While powerful, the system acknowledges ongoing improvements and encourages creators to review outputs carefully. Integrated into Gemini and YouTube Shorts through Dream Track, Lyria 3 fits seamlessly into modern creative ecosystems. Overall, it functions as a collaborative creative partner, helping artists, creators, and storytellers explore new musical possibilities while maintaining control over their artistic vision.
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