Open-weight audio-video foundation model

公式モデルガイド/オンラインジェネレーター

LTX 2.5 AI動画ジェネレーター

Lightricks の新しいオープンウェイト基盤モデルで、ネイティブなマルチショット表現、同期した音声と映像、自動の尺、Diffusion Fidelity Rendering、プロ品質の 4K HDR 出力を試せます。 下のLTX 2.5 AI動画ジェネレーターで、プロンプト、画像、2枚のフレーム、対応する参照素材から制作できます。

Official LTX 2.5 AI Video Generator showcase of multishot and HDR output
Lightricks' launch footage, taken from the official LTX 2.5 page and compressed locally so it plays smoothly on the web.

LTX 2.5でオンライン生成

MuseGenの完全版動画ワークスペースを統合し、初期モデルとしてLTX 2.5を選択しています。他の設定を保ったまま、バリエーション比較やモデル変更も可能です。

LTX 2.5 AI動画ジェネレーターを読み込んでいます…

生成にはアカウントが必要で、モデル、バリエーション、長さ、解像度などの設定に応じてクレジットを使用します。失敗したタスクは自動返還されます。

LTX 2.5とは? どのような場面で使うべきですか?

LTX 2.5 is the 22-billion-parameter audio-video foundation model Lightricks released with open weights in August 2026 (on the 11th). It is meant to be a base for production rather than a one-trick clip maker: you can run it on your own hardware, fine-tune the pretrained checkpoint, call the hosted API, or assemble specialised workflows on top using LoRA and IC-LoRA. This version reworks both what you can create and how it is rendered. Native multishot moves through linked wide, medium and close views while keeping the character, the location, the light, the voice and the look intact across each cut. Longer instructions survive thanks to a bespoke Gemma 4 12B text encoder plus a dedicated prompt enhancer, and the new diffusion video decoder with Diffusion Fidelity Rendering puts detail where the scene needs it rather than spreading one fixed compression budget over everything.

Parameters in an asymmetric dual-stream diffusion transformer
22B

Parameters in an asymmetric dual-stream diffusion transformer

Native high-resolution output for finishing
4K HDR

Native high-resolution output for finishing

Longest Fast-tier clip at 1080p
20s

Longest Fast-tier clip at 1080p

First-stage schedule in the distilled model
8 steps

First-stage schedule in the distilled model

Native multishot

An LTX 2.5 AI Video Generator that keeps one world intact across cuts

The headline upgrade is more than another resolution option. LTX 2.5 builds linked scenes in a single generation and holds on to the visual and sonic details that make them read as one sequence. The official clips below first show cleaner movement and closer instruction following, then the multishot payoff: the camera moves nearer or further and reframes, yet subject, setting, lighting, voice and style all stay in the same world.

What improved for continuity

Cleaner motion
Closer prompt adherence

“Build a linked sequence that goes from a wide establishing view to a shot of the character and then to a tight detail. Keep the identity, setting, light direction, visual style and voice the same across every cut, and let each action complete before the next shot starts.”

Production controls

Let the action set the length, then take the result into finishing

Automatic duration matches the action, not a preset

Before generating, a compatible duration head looks at the scene and estimates the time the action you described will take. Run locally, you can skip the frame count entirely or set a minimum and a maximum. A quick reaction stays quick, while a move with a setup, an action and a recovery gets enough frames to play out — avoiding the pacing problems you get when every idea is forced into five or ten seconds. Exact frame counts are still there when a production needs precise timing.

Native HDR and EXR leave headroom for the grade

The HDR workflow takes scene-linear EXR conditioning in sRGB/Rec.709, ACEScg or ACEScct and can export half-float EXR frames next to a 10-bit BT.2020/HLG HEVC master. Rather than baking a viewing look into an eight-bit intermediate, colourists and effects artists keep detail in the highlights and shadows for compositing, grading and delivery. The hosted model also offers 1080p, 1440p and 4K tiers for work that has to live beyond a social feed.

Diffusion Fidelity Rendering puts detail where the shot needs it

Older pipelines use one compression and reconstruction budget for the whole scene. LTX 2.5 brings in a new diffusion video decoder and a Diffusion Fidelity Rendering pipeline that can generate in-between keyframes, add a full-resolution detail pass and, if you want, a temporal refinement pass. Effort is distributed by scene complexity, so fast motion, faces, fine textures and readable screen content improve without every part of every frame costing the maximum.

LTX 2.3 vs LTX 2.5

LTX 2.3 still works with the same repository and plenty of existing adapters, but LTX 2.5 changes the foundation for new production work. Checkpoint components and LoRAs do not always carry over, so test your adapters before you move existing workflows to the new release.

FeatureLTX 2.3LTX 2.5
Scene structureMostly a single continuous shotNative linked multishot sequences
Video reconstructionConvolutional VAE decoderNew diffusion video decoder
Text understandingGemma 3 text encoderCustom Gemma 4 12B with a prompt enhancer
DurationFrame count set by handManual frames or automatic duration predicted from the prompt
FinishingMostly SDR outputNative EXR, ACES-family conditioning, RAW and 4K HDR
Open checkpointsDev, distilled, quantisedSeparate dev/distilled components plus a raw pretrained foundation
RenderingFixed multi-stage upscalingDiffusion Fidelity Rendering with detail and temporal passes

Three production jobs an open foundation makes easier

The official clips below show the less glamorous side of generative video: keeping a high-dynamic-range master, getting more usable takes before review, and adapting the model to a private domain. LTX 2.5 runs as a hosted service, but what really sets it apart is that the same foundation can move into an on-premises or fine-tuned workflow.

Finishing to cinema standards

Send generated shots through an EXR, ACES, DaVinci Wide Gamut or HLG workflow and keep the latitude professional colourists rely on.

Ads that demand fine detail

Rely on the rebuilt decoder and Diffusion Fidelity Rendering for packshots, faces, materials and signage that must hold up on a full-size screen.

Customising the model privately

Retrain the base checkpoint on your brand, a recurring character, a specialist subject or proprietary data, and keep it running on-premises.

生成を始める

LTX 2.5で動画を作成する方法

このモデルページを離れずに、アイデアから設定済みのLTX 2.5生成へ進めます。

1

ショットを説明する

被写体、動作、環境、カメラ、スタイル、時間、音を記述します。参照素材がある場合はアップロードし、各素材の役割を説明します。

2

LTX 2.5を設定する

LTX 2.5を選択したまま、バリエーション、モード、長さ、アスペクト比、解像度、音声を設定し、表示されるクレジットを確認します。

3

生成・確認・再利用

タスクを開始し、結果パネルで進行状況を確認します。完成動画を確認し、設定を別テイクに再利用するか、ファイルをダウンロードします。

LTX 2.5 AI動画ジェネレーター よくある質問

What is the LTX 2.5 AI Video Generator?

It is Lightricks' open-weight foundation model for audio and video, launched in August 2026. A 22B asymmetric dual-stream diffusion transformer produces footage with matching sound, and this version adds native multishot continuity, a diffusion video decoder, automatic duration, better prompt understanding, Diffusion Fidelity Rendering and professional HDR/RAW workflows.

Which generation modes are available in LTX 2.5?

LTX 2.5 handles text-to-video, image-to-video, native multishot sequences, audio-conditioned generation, keyframe interpolation, retake, extension and adapter-based transformations. The exact controls depend on the workflow you choose, but your prompt should cover action, camera, lighting, sound and shot changes in the order they happen.

How does LTX 2.5 differ from LTX 2.3?

The biggest changes are native linked multishot generation, a new diffusion video decoder, a custom Gemma 4 12B text encoder, a dedicated prompt enhancer, duration predicted from the prompt, Diffusion Fidelity Rendering, native EXR/HDR/RAW support, a stronger distilled model and a raw pretrained checkpoint for deeper adaptation. Plenty of LTX 2.3 LoRAs and IC-LoRAs may still work, but Lightricks advises testing adapters because compatibility is not guaranteed.

Does LTX 2.5 output 4K HDR video?

Yes. The official Fast and Pro tiers offer 1080p, 1440p and 4K at 24, 25, 48 or 50 fps. The native HDR workflow accepts EXR inputs in supported scene-linear or ACES-family colour spaces and outputs half-float EXR frames along with a 10-bit BT.2020/HLG HEVC master. Fast reaches 20 seconds at 1080p and 10 seconds at 1440p or 4K; Pro reaches 10 seconds.

Can LTX 2.5 create synchronized audio?

Yes. LTX generates audio and video jointly, using separate streams linked by bidirectional cross-modal attention. Supported pipelines produce sound with the picture and offer guidance for each modality. Write dialogue, delivery, ambience, effects and music into the same chronological scene. As with any generative model, review multi-speaker voices and long sequences before using them in production.

Is LTX 2.5 open source, and can I use it commercially for free?

The weights plus the inference and training code are public under the LTX-2.x Community License. Lightricks says organisations with under $10 million in total annual revenue can use it commercially and in production at no cost, subject to the full licence; bigger organisations need a paid commercial agreement. Passing on fine-tunes and redistribution can come with extra conditions, so base deployment decisions on the licence itself, not on a summary like this one.

What hardware do I need to run LTX 2.5 myself?

The recommended split distilled download weighs in at around 66 GiB before optional extras. The official Python setup wants Python 3.12+, CUDA 12.7+ and a current PyTorch install. FP8 casting, NVFP4 on Blackwell cards, offloading to CPU or disk, tiling and alternative attention backends can lower memory use, but high-resolution audio-video generation remains demanding GPU work, not something for a light desktop.

What does the official LTX 2.5 API cost?

LTX's launch page quotes official API prices per generated second: $0.09 at 720p, $0.15 at 1080p, $0.19 at 2K and $0.37 at 4K. Those are LTX's own API rates, not MuseGen credit prices. The MuseGen credit cost for your settings appears in the generator before you submit.

LTX 2.5の公式情報源

このページのモデル機能とメディアは、開発元の公式製品ページ、発表、ドキュメントを基に調査しています。

LTX 2.5で次の動画を作成

上の完全版LTX 2.5 AI動画ジェネレーターを開き、プロンプトや参照素材を追加して、次のショットを完成動画に変えましょう。

生成を始めるすべてのモデルを見る