LTX-Video
Fast, real-time-capable open video generation from Lightricks.
- Star 数
- 11.1K
- Fork 数
- 1.2K
- 未关闭 Issue
- 101
- 最近提交
- 2026-01-05
数据来自 GitHub API · 更新于 2026-10-15
LTX-Video 是什么？
LTX-Video is a DiT-based video model built for speed — it can generate short clips faster than real time on high-end GPUs. It supports text-to-video, image-to-video and keyframe conditioning, with distilled variants for low step counts.
主要功能
- Very fast generation with distilled models
- Text-to-video, image-to-video and multi-keyframe conditioning
- ComfyUI nodes and Diffusers support
系统要求
- 平台
- Linux · Windows
- 显卡
- NVIDIA
- 显存
- 12 GB+ for smaller variants; more for 13B models
如何安装 LTX-Video
根据项目 README 整理。开源项目更新很快，请以 GitHub 页面上的最新说明为准。
Reference code
- 1Clone and install in a virtual environment.
git clone https://github.com/Lightricks/LTX-Video.git cd LTX-Video python -m venv env source env/bin/activate python -m pip install -e .[inference] - 2Run inference as shown in the README (the model downloads from Hugging Face).
优势
- Fastest open video model family
- Good ComfyUI support
不足
- Lower fidelity than the largest models
- Weights use the LTXV Open Weights License
LTX-Video 替代品对比
| 软件 | Star 数 | 许可证 | 平台 | 显存 |
|---|---|---|---|---|
| LTX-Video Fast, real-time-capable open video generation from Lightricks. | 11.1K | Apache-2.0 | 12 GB+ for smaller variants; more for 13B models | |
| Wan 2.2 Alibaba’s open-weight video generation models (text, image and speech to video). | 17.9K | Apache-2.0 | 24 GB for TI2V-5B at 720p; 80 GB-class GPUs (or offloading) for A14B models | |
| CogVideoX Open text-to-video and image-to-video models from Zhipu AI / Tsinghua. | 13.1K | Apache-2.0 | ~12–24 GB depending on model and optimizations (see the README table) | |
| FramePack Long image-to-video generation on laptop GPUs with as little as 6 GB VRAM. | 17.3K | Apache-2.0 | 6 GB minimum | |
| HunyuanVideo Tencent’s 13B-parameter open video foundation model. | 12.6K | Tencent Hunyuan Community License | 45 GB minimum, 60–80 GB recommended for 720p (per README); less with community quantizations | |
| AnimateDiff Animate your Stable Diffusion checkpoints with plug-in motion modules. | 12.3K | Apache-2.0 | 8–12 GB |
相关模型
常见问题
LTX-Video 免费吗？
是的——LTX-Video 是开源软件，采用 Apache-2.0 许可证。商用前请确认软件及模型权重的许可条款。
LTX-Video 支持 Windows、Mac 和 Linux 吗？
LTX-Video 支持：Linux, Windows。
运行 LTX-Video 需要什么配置？
NVIDIA. VRAM: 12 GB+ for smaller variants; more for 13B models
如何安装 LTX-Video？
1. Clone and install in a virtual environment. 2. Run inference as shown in the README (the model downloads from Hugging Face).
LTX-Video 有哪些好的替代品？
常见替代品包括 Wan 2.2, CogVideoX, FramePack, HunyuanVideo，详见本页对比表。
可以不安装、在线使用 LTX-Video 吗？
如果没有大显存显卡，AiLoft 可在云端运行 Veo 3.1 和可灵 2.5，在浏览器中生成并对比视频。
没有 24GB 显卡？在线生成 AI 视频
在云端运行 Veo 3.1 和可灵 2.5，并排对比视频，按条付费。