What Is Muse Video? Meta AI Model, Access & Capabilities

What is Muse Video?

Muse Video is an AI video generation model previewed by Meta Superintelligence Labs on July 7, 2026. Meta describes it as sharing a pretraining base with Muse Image and highlights four areas: prompt adherence, visual fidelity, temporal consistency, and native audio. It is part of Meta's new Muse media-generation family, but it is not yet a broadly available public video API.

This distinction matters. Muse Video is a real Meta model, while Muse AI Video is an independent research and creation workspace. The generator on this site displays the model actually used for every task. Output from Seedance or another available provider is never relabeled as official Muse Video output.

Muse Video status at a glance

| Question | Verified answer | Source status | |---|---|---| | Who developed it? | Meta Superintelligence Labs | Confirmed by Meta | | When was it previewed? | July 7, 2026 | Confirmed by Meta | | Is it publicly available? | Meta says it is coming to creators and Meta AI | Limited preview, not broad access | | Is there a public API? | No public specification or general API launch has been announced | Not confirmed | | Does it support native audio? | Meta presents native audio as a core capability | Confirmed direction | | What remains difficult? | Audio-video synchronization and physically accurate fast motion | Confirmed limitation | | How did it rank at launch? | No. 3 in Meta's cited text-to-video human-preference Arena snapshot | Snapshot dated July 5, 2026 |

For dated availability details, read the Muse Video release tracker.

Confirmed Muse Video capabilities

Prompt adherence

Prompt adherence measures whether a generated clip follows the requested subject, action, environment, camera direction, pacing, and sound. A visually impressive clip can still fail if it changes the product, ignores the camera movement, or omits the requested final beat. Meta identifies prompt adherence as one of Muse Video's competitive areas, but creators should evaluate it with repeatable prompts rather than a highlight reel alone.

Visual fidelity

Visual fidelity includes subject detail, materials, lighting, depth, texture, and overall photographic or cinematic quality. Official preview footage demonstrates polished environments and subjects, but visual quality should be judged alongside identity stability and motion—not from a single selected frame.

Temporal consistency

Video must remain coherent across time. Faces, clothing, products, backgrounds, geometry, shadows, and camera position should not drift from frame to frame. Meta highlights temporal consistency, and the authorized samples on our Muse Video examples page provide useful material for examining this claim.

Native audio

Native audio means sound can be conceived with the video rather than attached as an unrelated post-production layer. A useful prompt should identify dialogue, ambience, sound effects, music cues, timing, and which visible object creates each sound. Meta also states that audio-video synchronization still needs improvement, so native audio support should not be interpreted as perfect lip sync or physically precise sound timing.

Current limitations and unknowns

Meta has not published a complete public specification covering maximum duration, resolution, aspect ratios, pricing, regional availability, commercial terms, rate limits, reference-image controls, or API request formats. Any third-party page presenting a complete Muse Video pricing or API table should identify its source clearly.

Two limitations are explicitly acknowledged in Meta's announcement:

• Audio-video synchronization remains under development.
• Physically accurate fast motion remains an improvement area.

These are meaningful production constraints. Dialogue, impacts, sports, liquid motion, rapid hand movement, and complex object interactions should be tested carefully rather than assumed to work from a single demo.

How to prepare for Muse Video

A reusable video brief is more valuable than a model-specific slogan. Structure prompts in this order:

1. Subject: identify the main person, object, animal, or product.
2. Action: describe one readable action and how it changes over time.
3. Environment: define location, weather, era, texture, and background activity.
4. Camera: choose framing, lens character, camera path, and speed.
5. Continuity: state what must remain unchanged across the shot.
6. Lighting: describe direction, contrast, color, and time of day.
7. Pacing: define the opening, development, and final beat.
8. Audio: specify dialogue, ambience, effects, music, and synchronization points.

The Muse Video prompt guide includes complete templates and a review checklist. You can test the same production brief in the AI video generator using the clearly labeled model currently available.

How we evaluate new Muse Video claims

We separate information into three categories: confirmed facts from Meta, time-stamped benchmark observations, and editorial interpretation. We do not convert an announcement into unsupported specifications. When access expands, useful testing should compare identical prompts across multiple seeds and evaluate prompt adherence, identity stability, camera motion, physics, audio timing, failure rate, generation time, and cost per usable result.

Official sources

• Meta AI: Introducing Muse Image and Muse Video
• Meta Newsroom: Introducing Muse Image

This page was last verified on July 10, 2026. Availability and benchmark positions can change, so dated claims should always be read as snapshots.