Watch the new open foundation model in motion: cinematic output, multishot continuity, cleaner detail, and professional finishing.
LTX 2.5 builds on the LTX 2.3 video workflow with Diffusion Fidelity Rendering, prompt adherence, automatic duration, native 4K HDR, RAW workflow support, and open deployment options.
Overview
LTX 2.5 is an open AI video foundation model designed for real production workflows. It improves the areas creators notice most: motion stability, connected scenes, prompt control, clip pacing, professional output formats, and deployment ownership.
Model capabilities
The key feature set is centered on the quality and control gains that make LTX 2.5 a stronger video model: fidelity, motion, multishot, prompt following, automatic timing, and finishing output.
Diffusion Fidelity Rendering allocates denoising and rendering effort according to scene complexity, so dense textures, hard edges, and small foreground details hold up across frames instead of collapsing into soft motion blur.
Best for high-detail scenes, product surfaces, character close-ups, and shots intended for larger screens.
The updated video decoder improves temporal stability, reducing jitter, smear, and broken transitions when subjects or cameras move through a scene.
Useful when motion quality matters more than a single attractive keyframe.
Native multishot generation is designed to preserve character, environment, lighting, and voice across connected shots, making short sequences easier to plan as a single creative unit.
A stronger fit for previews, storyboards, short ads, and continuity-sensitive concept work.
LTX 2.5 improves instruction following for camera language, subject behavior, scene style, timing, and motion direction, so shorter prompts can produce more controlled results.
Reduces prompt drift when the brief includes several visual and motion constraints.
Automatic duration prediction estimates the clip length needed for the requested action, helping a shot resolve naturally instead of ending too early or lingering after the motion is complete.
Especially helpful for actions with clear beginnings and endings, such as reveals, turns, impacts, and transitions.
Native 4K HDR support makes LTX 2.5 more practical for professional review, color decisions, and high-resolution delivery where highlight detail and output latitude matter.
Best for teams evaluating generated footage for premium screens, post-production, and finishing-grade workflows.
The RAW-oriented workflow is designed for professional color, review, editing, and finishing pipelines where generated footage needs more latitude than a compressed preview.
Built for teams that need model output to survive downstream grading and delivery work.
Decision path
Use LTX 2.5 when you need to generate immediately, then evaluate output quality, continuity, deployment ownership, or fine-tuning needs before choosing the right workflow.
Start with the LTX 2.5 Studio when the job is immediate: describe the scene, upload reference media, choose the generation mode, set duration and aspect ratio, then produce a clip you can review and download.
Use the LTX 2.5 demos to judge the upgrade: motion stability, Diffusion Fidelity Rendering, prompt adherence, multishot continuity, auto duration, HDR, and RAW-oriented finishing.
If the model fits, decide how it enters production: API for product integration, ComfyUI for creative prototyping, local deployment for control, or fine-tuning for domain-specific output.
Video gallery
A waterfall gallery from the official Built on LTX community library, showing how LTX workflows extend into identity LoRAs, camera motion transfer, face swap, lip sync, and second-pass enhancement.
A community LoRA showcase that demonstrates how LTX can be extended into specialized video effects and reusable creator workflows.
Generate a person's visual appearance and voice together from reference media, showing how LTX community adapters can extend identity-driven video workflows.
Transfer camera motion from a guide video into a generated scene, including pan, tilt, zoom, orbit, and compound camera movement.
Add smooth, low-speed FPV drone-style camera motion to generated footage without changing the core model.
Transform subject body shape while keeping the scene, camera motion, and temporal structure consistent.
A story-oriented community workflow for longer character and voice consistency built on the LTX ecosystem.
A compact five-second community example for quickly evaluating adapter behavior and output stability.
Swap a face onto a guide video while preserving motion, expression timing, and temporal consistency.
Generate talking-head video with synchronized lip sync and voice-character guidance from reference media.
Use an upscale-plus-second-pass workflow to recover sharper detail from generated video output.
Add inflated-object look and physics as a targeted visual behavior without rebuilding the full generation stack.
A restoration and edit adapter family for enhancement, cleanup, and prompt-directed video repair workflows.
Remove foreground occlusions such as curtains, plants, windows, or haze through a video-to-video LTX adapter.
Generate motorsport footage from a T-cam or cockpit point of view with a dedicated open-wheel motion style.
Transfer a stylized 3D look from flat 2D cutouts and bring still-image artwork into motion.
Model comparison
The homepage keeps the comparison compact: LTX 2.3 remains the live creation route, while LTX 2.5 becomes the new model story for quality, control, and deployment.
Deployment
This module should stay, but it should work as a decision layer, not a decorative video strip. It explains how LTX 2.5 moves from model interest to adoption: prototype, integrate, control, or run live systems.
Use node-based workflows to test prompts, adapters, and production chains before committing engineering time.
Build LTX video generation into products without operating the full inference stack from day one.
Use LTX as a model layer for robotics, simulation, and domain-specific research pipelines.
Adapt the model for responsive avatar, live media, and interactive creative systems.
Create professional AI videos with flexible credit-based pricing. One-time purchase, no subscription required.
FAQ
LTX 2.5 is an open-weights foundation model for AI video generation, focused on higher fidelity, continuity, prompt control, automatic pacing, HDR output, and flexible deployment.
Use the dedicated LTX 2.5 Studio at /ltx-2-5 for text to video and image to video. This homepage explains the model, demos, and comparison, then points you to the live create workflow.
No. Each homepage video source is used once: hero, What Is, key features, gallery, and ecosystem sections all use separate MP4 files.
Homepage media starts as lightweight poster images. Hero and feature clips load only after they enter the viewport (with a short idle delay), and gallery or ecosystem clips wait for an explicit play tap so crawlers and first paint stay light.
LTX 2.5 adds Diffusion Fidelity Rendering, a stronger video decoder, native multishot generation, better prompt adherence, automatic duration, RAW-oriented workflows, and more deployment control.
Yes. LTX 2.5 is positioned as an open foundation model with a pretrained base checkpoint that teams can adapt to their own data, visual domain, and infrastructure.
No. Creators can evaluate the model through demos and hosted tools, while technical teams can use API, local deployment, ComfyUI, and fine-tuning paths when they need deeper control.
Built on LTX examples prove that the model is not just a generator UI. They show community adapters, camera-control workflows, lip-sync extensions, enhancement passes, and reusable model tooling.
Compare the demos, understand the upgrade, then use the live LTX generator path when you are ready to make a clip.
