LTX-2.5

• Text-to-video generation for creating video scenes from detailed natural-language prompts
• Image-to-video generation for animating and transforming supplied images into video sequences
• Audio-to-video generation for creating synchronized visual content from audio inputs
• Native multi-shot generation for connected scenes with consistent characters, environments, lighting, style, and voice
• Video generation up to 4K resolution in supported portrait and landscape formats
• AI-generated synchronized audio including speech, music, and scene-relevant sounds
• Automatic duration selection that can determine clip length from the prompt
• Camera motion controls for directing movement and visual framing during generation
• Open-weight model availability for local execution, customization, and fine-tuning
• LoRA and IC-LoRA support for additional control over style, motion, structure, and video transformations

LTX-2.5 is an advanced AI video generation model designed to create video and synchronized audio from text, images, and audio inputs. Developed for both creative production and developer workflows, the model is available through the LTX API and as an open-weight model for local execution and customization.

The model comes in Fast and Pro variants. LTX-2.5 Fast is designed for lower-cost, faster generation, while LTX-2.5 Pro focuses on higher visual fidelity. Supported workflows include text-to-video, image-to-video, and audio-to-video generation. Depending on the model and configuration, creators can generate portrait or landscape content at resolutions reaching 4K.

One of the notable capabilities of LTX-2.5 is native multi-shot generation. A single generation can contain multiple connected shots while maintaining consistency across characters, environments, lighting, visual style, and voice. The model also supports camera motion controls and automatic duration selection, allowing prompts to influence the length and movement of generated clips.

LTX-2.5 can generate synchronized audio alongside video, making it suitable for projects that require more complete audiovisual output rather than silent clips. Developers can access these capabilities through LTX API endpoints and integrate generation into applications or automated workflows.

The open-source version provides additional flexibility for technical users. LTX-2.5 can run locally and supports customization through LoRA and IC-LoRA workflows. It can also be used with tools such as ComfyUI or programmatically through Python pipelines.

API pricing is usage-based and billed according to generated video duration, resolution, and model variant. The open-weight model provides a separate option for users who want to run the technology locally rather than relying exclusively on hosted generation.

Frequently Asked Questions

What is LTX-2.5?

LTX-2.5 is an AI video generation model that creates synchronized video and audio from text, image, and audio inputs.

What can LTX-2.5 generate?

LTX-2.5 can generate videos from text prompts, animate images into videos, and create video content synchronized with audio inputs.

Does LTX-2.5 generate audio?

Yes, LTX-2.5 can generate synchronized audio alongside video, including speech, music, and scene-related sounds.

What resolution does LTX-2.5 support?

LTX-2.5 supports video generation up to 4K resolution, depending on the model variant and generation configuration.

Is LTX-2.5 free?

LTX-2.5 is available as an open-weight model for local use, while hosted API generation uses usage-based pricing.

What is native multi-shot generation?

Native multi-shot generation allows LTX-2.5 to create multiple connected shots while maintaining consistency across important visual and audio elements.

Can LTX-2.5 run locally?

Yes, the open-weight version can run locally using supported workflows such as ComfyUI and Python-based pipelines.

Who is LTX-2.5 designed for?

LTX-2.5 is designed for creators, developers, filmmakers, VFX teams, and technical users building AI-powered video workflows.

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