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LTX-Video

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Spec score 7.7 #141 of 241 in AI video generators

Spec sheet

Purpose
LTX-Video is an open video-generation model that supports text-to-video and image-to-video generation.Read 12 Oct 2026 · github.com
Integrations
The repository documents ComfyUI and Diffusers integrations and recommends its ComfyUI workflow for best results.Read 13 Oct 2026 · github.com
Support
The repository invites users to report projects or tools that integrate with LTX-Video by opening an issue or pull request.Read 13 Oct 2026 · github.com
License
The GitHub repository identifies its code license as Apache-2.0.Read 13 Oct 2026 · github.com
Headquarters
Jerusalem, IsraelRead 28 Sep 2026 · github.com
Founded
2013Read 28 Sep 2026 · github.com
Company
Lightricks says it was founded in 2013.Read 13 Oct 2026 · lightricks.com
API access
YesRead 19 Sep 2026 · github.com
Commercial use
YesRead 19 Sep 2026 · github.com
Conditioning
It supports image-to-video, multiple keyframes, keyframe animation, forward and backward video extension, and video-to-video transformations.Read 12 Oct 2026 · github.com
Control models
The repository lists depth, pose, and Canny control models for LTX-Video.Read 13 Oct 2026 · github.com
Fine-tuning
Lightricks provides an open-source trainer for full fine-tuning and LoRA fine-tuning of the 2B and 13B variants.Read 13 Oct 2026 · github.com
Hosted access
The README links to online inference through LTX Studio, Fal.ai, and Replicate.Read 12 Oct 2026 · github.com
Image-to-video
YesRead 19 Sep 2026 · github.com
Input constraint
For video extension, input segments must have a frame count equal to a multiple of 8 plus 1, and the target frame number should be a multiple of 8.Read 12 Oct 2026 · github.com
Local requirements
The codebase was tested with Python 3.10.5 and CUDA 12.2; on macOS, MPS was tested with PyTorch 2.3.0.Read 13 Oct 2026 · github.com
Local use
The project provides instructions for running inference locally with Python and PyTorch.Read 12 Oct 2026 · github.com
Long generations
The repository says LTX-Video 13B supports videos up to 60 seconds.Read 13 Oct 2026 · github.com
macOS support
The README says MPS was tested on macOS with PyTorch 2.3.0 and should support PyTorch 2.3 or 2.6 and later.Read 12 Oct 2026 · github.com
Maximum resolution
4kRead 19 Sep 2026 · github.com
Maximum video length
1Read 19 Sep 2026 · github.com
Models
The repository lists 2B and 13B model variants, including distilled and FP8 quantized versions.Read 12 Oct 2026 · github.com
Output
The README describes generation up to 50 FPS at native 4K resolution with synchronized audio in one pass.Read 12 Oct 2026 · github.com
Project status
The repository says LTX-2 is now the primary home for LTX development.Read 13 Oct 2026 · github.com
Resolution and frame rate
The repository says the model can generate videos up to 50 FPS at native 4K resolution with synchronized audio in one pass.Read 13 Oct 2026 · github.com
Security and compliance
LTX's Trust Center lists CCPA, GDPR, ISO/IEC 27001:2022, PCI DSS, SOC 2 Type 2, ISO/IEC 42001:2023, and SOC 3; some trust documents require access.Read 12 Oct 2026 · trust.ltx.io
Text-to-video
YesRead 19 Sep 2026 · github.com
Usage limits
The model guide says it works best below 720 × 1280 resolution and below 257 frames, and recommends prompts under 200 words.Read 12 Oct 2026 · github.com
Video controls
It supports multi-keyframe conditioning, keyframe-based animation, video extension in either direction, and video-to-video transformations.Read 13 Oct 2026 · github.com
Video generation
LTX-Video is a video generation model that supports text-to-video and image-to-video generation.Read 13 Oct 2026 · github.com

Where Specifiction places it

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