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LTX Releases LTX-2.5 Open-Weights Video Model with ComfyUI Integration

🔄 Updated 1d ago
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Key points

  • LTX-2.5 is an open-weights video and world model.
  • It integrates natively into ComfyUI for prototyping.
  • New features include a diffusion video decoder and multishot generation.
  • A Gemma 4 language backbone enhances prompt handling.

LTX-2.5 Release and ComfyUI Integration

LTX, an open world model company, has launched LTX-2.5, the latest version of its open-weights video and world model. This release features native integration into ComfyUI, a node-based workflow tool for generative media. The model is available on Hugging Face, within ComfyUI, and via the LTX API.

Accessibility and Usage

LTX-2.5 is free for organizations with under $10 million in annual recurring revenue, while larger companies require a negotiated license. LTX reports over 33 million downloads for its model family, positioning it as a widely used open world model line.

Key Improvements in LTX-2.5

The LTX-2.5 update rebuilds much of the generation pipeline. It introduces a new diffusion video decoder to reduce visual artifacts and improve detail in high-motion footage. Native multishot generation is included, allowing for consistent character, scene, and voice across a full sequence.

Enhanced Prompt Handling and Robotics Support

The model incorporates a custom Gemma 4 language backbone and a dedicated prompt enhancer for more accurate processing of complex, multi-subject prompts. Additionally, a pretrained checkpoint tuned for physical AI and robotics provides a base for fine-tuning on domain-specific data.

✨ This summary was generated by AI from the outlets' reporting listed below. It is not independently verified and may contain errors — check the original sources. How BrevFeed works →

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Reporting from

LTX, an open world model company, released LTX-2.5, an open-weights video and world model, with native integration into ComfyUI. This update includes a new diffusion video decoder, native multishot generation, and a custom Gemma 4 language backbone, aiming to improve video generation quality and consistency.