LTX-Video

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

11138 stars · 1182 forks observed · 2026-10-20

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Official Python package from Lightricks providing inference pipelines and LoRA training for LTX-2/LTX-2.5, an open-weights DiT-based foundation model that generates synchronized audio and video (up to 4K HDR) from text, image, or audio prompts. It includes a companion ComfyUI integration and falls back gracefully across CUDA, Triton, and eager backends.

Use cases

• generate video with synchronized audio from a text prompt
• run image-to-video generation locally on my own GPU
• fine-tune the LTX-2 video model with LoRA on my own footage
• generate 4K HDR video with an open-weights model
• use LTX-2 in ComfyUI workflows
• extend or edit existing video clips with a generative model
• self-host video generation to keep IP in-house

When to choose

• you want open-weights, self-hostable audio-video generation with full control over fine-tuning and deployment
• you need production-grade video output including native 4K HDR and multishot consistency
• you want a ComfyUI-integrated video model or LoRA trainer in Python

When to avoid

• you only need a hosted API without managing GPU infrastructure (though an API exists, the repo targets local inference)
• you lack a capable GPU - high-fidelity video diffusion models are compute-heavy
• you need simple image-only generation rather than audio-video

Facets

library · maturity active

llm-inference machine-learning deep-learning video-processing audio-processing llm-training artificial-intelligence deep-learning media gpu-computing python windows cross-platform video-generation audio-video-generation diffusion-transformer lora-training open-weights generative-ai text-to-video image-to-video comfyui video audio gpu linux macos

Member repositories

For agents

markdown · JSON · MCP: product_card(name="Lightricks/LTX-Video")