Lightricks/LTX-Video
image-to-video model by Lightricks
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From the publisher
Model card & documentation
Source previewRead the publisher’s intended use, setup instructions, evaluations and limitations. The original model card is the source of truth.
This model card focuses on the model associated with the LTX-Video model, codebase available here. LTX-Video is the first DiT-based video generation model capable of generating high-quality videos in real-time. It produces 30 FPS videos at a 1216×704 resolution faster than they can be watched. Trained on a large-scale dataset of diverse videos, the model generates high-resolution videos with realistic and varied content. You can use the model for purposes under the license: The model is accessible right away via the following links: To use our model with ComfyUI, please follow the instructions at a dedicated ComfyUI repo. The codebase was tested with Python 3.10.5, CUDA version 12.2, and supports PyTorch >= 2.1.2. To use our model, please follow the inference code in inference.py: You can now generate a video conditioned on a set of images and/or short video segments. Simply provide a list of paths to the…
Read the full model card ↗ · Preview checked 2026-10-30T22:20:09.939Z
Inside the original model card — Document outline
- LTX-Video Model Card
- Image-to-video examples
- Models & Workflows
- Model Details
- Usage
- Direct use
- General tips:
- Online demo
- ComfyUI
- Run locally
- Installation
- Inference
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Model overview
Lightricks/LTX-Video is a image-to-video model repository published by Lightricks on Hugging Face. The source reports the diffusers library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- image-to-video
- Library
- diffusers
- Recent downloads (30 days)
- 879,111
- Cumulative likes
- 2,377
- Hugging Face trending score
- 14
- Reported safetensors parameters
- 1,923,385,472
- Architecture
- Not reported
- License
- other
- Access
- Not gated by Hugging Face
- Created
- 2024-10-31T12:36:00.000Z
- Last modified
- 2025-07-16T14:32:35.000Z
Compatibility and lineage
Reported languages: en
Base-model lineage was not included.
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
Check license terms and access requirements first. Review the model card’s documented loading instructions, evaluations and safety limitations. Benchmark scores are not imported by this directory, and popularity is not an accuracy ranking.
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-10-25T06:46:37.829Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.
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