#2121st of 24 in Image and videoFor image, video and design, video and animation
ltx-video
Reference code and weights for the LTX-Video DiT text/image-to-video model
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- Stars
- 11.1k
- License
- Apache-2.0
- Last commit
- Jan 2026
- Language
- Python
9,674 on 31 Mar 202611,149 on 20 Oct 2026
From GitHub's daily star counts.
Checked on GitHub.
Overview
Official repository for LTX-Video, a diffusion-transformer video generation model in 2B and 13B sizes, with distilled and FP8 variants. It provides an inference.py script and Python API for text-to-video, image-to-video, keyframe conditioning and video extension, plus ComfyUI and Diffusers integrations. The README says active development has moved to LTX-2, which adds synchronized audio.
Who it is for: Engineers and creators running open-weight video diffusion locally or in ComfyUI
Strengths
- Multiple checkpoints: 13B dev, 13B and 2B distilled, plus FP8 quantized versions
- Supports image-to-video, multi-keyframe conditioning, video extension and video-to-video
- Depth, pose and canny IC-LoRA control models published on Hugging Face
- Works through ComfyUI and Diffusers as well as its own inference script
Weaknesses
- README states LTX-2 is now the primary home for development
- README says inference.py does not yet match ComfyUI output quality
- No release tags; setup is a manual pip install in a venv
- VRAM and RAM requirements are not stated in the README
What it needs
- GPU required
- Needs PyTorch >= 2.1.2, CUDA 12.2 (tested), ComfyUI (optional), Diffusers (optional)
- Models: ltxv-13b-0.9.8-dev, ltxv-13b-0.9.8-distilled, ltxv-2b-0.9.8-distilled, FP8 variants, ltxv-2b-0.9.6
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