LTX Video (LTXV): a real-time video generation open source model for generating high quality video

General Introduction

LTX-Video is the first DiT (Diffusion Transformer) based real-time video generation model developed by Lightricks. The model is capable of generating high-quality video at 24 frames per second at 768x512 resolution, faster than the time it takes to watch the video.LTX-Video has been trained on a large and diverse video dataset to generate high-resolution videos with realism and diverse content. The model is designed to provide a fast and efficient video generation solution for a variety of creative and professional application scenarios.

LTXV has obvious drawbacks, don't enter a simple cue word, give a detailed description of the video screen or expand on the cue word.

Experience: https://huggingface.co/spaces/Lightricks/LTX-Video-Playground

• HF Playground
• Replicate text-to-video and image-to-video
• Fal.ai text-to-video
• Fal.ai image-to-video

LTX Video Image to Video Workflow

LTX Video Text to Video Workflow

Function List

• Real-time video generation: Generates video at 24 frames per second at 768x512 resolution.
• High quality output: Generate high-resolution, realistic and diverse videos.
• Multiple generation modes: Text-to-video, image-to-video and video-to-video generation modes are supported.
• optimize performance: The LTX-VideoQ8 version is optimized on NVIDIA ADA GPUs for up to 3x performance improvement.
• Integrated Support: Support and ComfyUI Integration with Diffusers provides flexible workflow.

Using Help

Installation process

1. Installation of ComfyUI::
   • Download and install ComfyUI.
2. Clone LTX-Video Warehouse::
   • Clone the LTX-Video repository in the custom-nodes folder of the ComfyUI installation directory.
   • Run the following command to install the required Python packages: bash
cd custom_nodes/ComfyUI-LTXVideo
pip install -r requirements.txt

   • For a portable ComfyUI installation, run the following command: bash
. \python_embedded\python.exe -m pip install -r . \ComfyUI\custom_nodes\ComfyUI-LTXVideo\requirements.txt

3. Download model::
   • Download ltx-video-2b-v0.9.1.safetensors from Hugging Face and place it in the models/checkpoints folder.
   • Install T5 text encoder, e.g. googlet5-v11-xxl_encoderonly, which can be installed using ComfyUI Model Manager.

Guidelines for use

1. Text to Video Generation::
   • Select the LTX-Video node in ComfyUI.
   • Enter a text description, select the generation parameters, and click the Generate button.
2. Image to Video Generation::
   • Select the LTX-Video node in ComfyUI.
   • Upload the image file, select the generation parameters and click the Generate button.
3. Video to Video Generation::
   • Select the LTX-Video node in ComfyUI.
   • Upload the video file, select the generation parameters and click the Generate button.

Featured Functions Operation Procedure

1. High Resolution Generation::
   • Select the High Resolution option in the Generation parameter to ensure that the quality of the generated video meets expectations.
2. Diversified content generation::
   • Explore the diverse video content generated by the model using diverse textual descriptions or image inputs.
3. performance optimization::
   • Experience faster generation and higher performance on NVIDIA ADA GPUs with LTX-VideoQ8 version.

With the above steps, users can easily get started with high quality video generation using LTX-Video for a variety of creative and professional needs.