Distilled speed tradeoff
According to the model card, this distilled release is faster with less VRAM use and slight quality reduction, suited to rapid iterations.
Open Source Model Profile · Lightricks
LTX-Video-0.9.8-13B-distilled is a 13.04B-parameter image-to-video model from Lightricks. According to the model card, the distilled variant favors faster generation with less VRAM use and slight quality reduction.
LTX-Video-0.9.8-13B-distilled is published by Lightricks as an image-to-video model. Safetensors metadata reports 13,042,569,344 parameters with diffusers library support. According to the model card, it belongs to the LTX-Video family described as DiT-based video generation.
According to the model card, this distilled release is faster with less VRAM use and slight quality reduction, suited to rapid iterations.
Safetensors metadata reports 13,042,569,344 parameters with diffusers library and LTXConditionPipeline tagging.
According to the model card, LTX Video is compatible with the Diffusers Python library for image-to-video generation.
According to the model card, prompts should be in English with elaborate detail, and resolutions and frame counts follow divisibility rules.
Source: Lightricks/LTX-Video-0.9.8-13B-distilled
Captured: Unknown. Processed: 2026-09-07T19:35:41.450031+00:00.
LTX-Video 0.9.8 13B Distilled Model Card 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. Image-to-video examples Models & Workflows Name Notes inference.py config ComfyUI workflow (Recommended) ltxv-13b-0.9.8-dev Highest quality, requires more VRAM ltxv-13b-0.9.…
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