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FossfitsOpen-source AI that fits your machine© 2026

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LTX-Video

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LTX-Video

Lightricks open video model aimed at faster local clips.

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Fit.

Catalog snapshot

Platforms: Linux, Windows
Operating systems: Linux, Windows
Ram floor: 16 GB
Gpu: Required · 8 GB VRAM
Docker: No
Setup: Advanced
Deploy as: Local
Commercial use: Allowed

Apache 2.0. Clip length and resolution are the trade for speed.

Project.

Fetched Sep 12, 2026¹

License: Apache 2.0
Stars: 10.9k¹
Forks: 1.1k¹
Open issues: 89¹
Language: Python¹
Last commit: Jan 5, 2026¹
Latest release: Jul 22, 2026
Tags: text-to-videofastgpu

About.

LTX-Video targets shorter clips with a smaller VRAM story than 14B-class stacks. Still GPU-bound. Good when Wan is too heavy for the box.

Diffusers · short clips · lower VRAM path

Alternatives.

RRunwayPartial
PPikaPartial

Nearby.

WWan2.1Alibaba’s open text-to-video and image-to-video stack.Compare
OOpen-SoraApache-2.0 research stack for training and running video diffusion on 24 GB cards.Compare
CCogVideoXTHUDM open video diffusion with strong prompt following.Compare
FFramePackLong local image-to-video with a low VRAM floor.Compare
MMochiGenmo’s Apache-2.0 10B video model — permissive weights, heavy hardware.Compare