# ComfyUI-LTXVideo **Repository Path**: 203014/ComfyUI-LTXVideo ## Basic Information - **Project Name**: ComfyUI-LTXVideo - **Description**: No description available - **Primary Language**: Unknown - **License**: Not specified - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2026-01-16 - **Last Updated**: 2026-02-10 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # ComfyUI-LTXVideo [![GitHub](https://img.shields.io/badge/LTX-Repo-blue?logo=github)](https://github.com/Lightricks/LTX-2) [![Website](https://img.shields.io/badge/Website-LTX-181717?logo=google-chrome)](https://ltx.io/model) [![Model](https://img.shields.io/badge/HuggingFace-Model-orange?logo=huggingface)](https://huggingface.co/Lightricks/LTX-2) [![LTXV Trainer](https://img.shields.io/badge/LTX-Trainer%20Repo-9146FF)](https://github.com/Lightricks/LTX-2/tree/main/packages/ltx-trainer) [![Demo](https://img.shields.io/badge/Demo-Try%20Now-brightgreen?logo=vercel)](https://app.ltx.studio/ltx-2-playground/i2v) [![Paper](https://img.shields.io/badge/Paper-arXiv-B31B1B?logo=arxiv)](https://videos.ltx.io/LTX-2/grants/LTX_2_Technical_Report_compressed.pdf) [![Discord](https://img.shields.io/badge/Join-Discord-5865F2?logo=discord)](https://discord.gg/ltxplatform) A collection of powerful custom nodes that extend ComfyUI's capabilities for the LTX-2 video generation model. LTX-2 is built into ComfyUI core ([see it here](https://github.com/comfyanonymous/ComfyUI/tree/master/comfy/ldm/lightricks)), making it readily accessible to all ComfyUI users. This repository hosts additional nodes and workflows to help you get the most out of LTX-2's advanced features. **To learn more about LTX-2** See the [main LTX-2 repository](https://github.com/Lightricks/LTX-2) for model details and additional resources. ## Prerequisites Before you begin using an LTX-2 workflow in ComfyUI, make sure you have: * ComfyUI installed (Download here](https://www.comfy.org/download) * CUDA-compatible GPU with 32GB+ VRAM * 100GB+ free disk space for models and cache ## Quick Start 🚀 We recommend using the LTX-2 workflows available in Comfy Manager. 1. Open ComfyUI 2. Click the Manager button (or press Ctrl+M) 3. Select Install Custom Nodes 4. Search for “LTXVideo” 5. Click Install 6. Wait for installation to complete 7. Restart ComfyUI The nodes will appear in your node menu under the “LTXVideo” category. Required models will be downloaded on first use. ## Example Workflows The ComfyUI-LTXVideo installation includes several example workflows. You can see them all at: ``` ComfyUI/custom_nodes/ComfyUI-LTXVideo/example_workflows/ ``` * [`Text to video full model`](./example_workflows/LTX-2_T2V_Full_wLora.json) * [`Text to video distilled model (Fast)`](./example_workflows/LTX-2_T2V_Distilled_wLora.json) * [`Image to video full model`](./example_workflows/LTX-2_I2V_Full_wLora.json) * [`Image to video distilled model (Fast)`](./example_workflows/LTX-2_I2V_Distilled_wLora.json) * [`Video to video detailer`](./example_workflows/LTX-2_V2V_Detailer.json) * [`IC-LoRA distilled model (depth + human pose + edges)`](./example_workflows/LTX-2_ICLoRA_All_Distilled.json) * [`IC-LoRA distilled model with downscaled reference latents`](./example_workflows/LTX-2_ICLoRA_All_Distilled_ref0.5.json) ## Union IC-LoRA Model We introduce a new **Union IC-LoRA** model that combines depth, pose, and edge control conditions into a single unified LoRA. ### Key Features - **Unified Control**: A single LoRA that supports multiple control conditions (depth, human pose, or edges). - **Downsampled Latent Processing**: The union LoRA operates on a downsampled latent size, which reduces memory usage and significantly speeds up inference while maintaining quality. ### How It Works The union LoRA is trained to understand and respond to all three control signals (depth maps, pose skeletons, and edge maps) within a single model. The model learns to: 1. **Parse multiple conditions**: Identify which control signals are present in the input 2. **Process at reduced resolution**: Work on downsampled latents to improve efficiency ## Required Models Download the following models: **LTX-2 Model Checkpoint** - Choose and download one of the models to `COMFYUI_ROOT_FOLDER/models/checkpoints` folder. * [`ltx-2-19b-dev-fp8.safetensors`](https://huggingface.co/Lightricks/LTX-2/blob/main/ltx-2-19b-dev-fp8.safetensors) * [`ltx-2-19b-distilled-fp8.safetensors`](https://huggingface.co/Lightricks/LTX-2/blob/main/ltx-2-19b-distilled-fp8.safetensors) * [`ltx-2-19b-dev.safetensors`](https://huggingface.co/Lightricks/LTX-2/blob/main/ltx-2-19b-dev.safetensors) * [`ltx-2-19b-distilled.safetensors`](https://huggingface.co/Lightricks/LTX-2/blob/main/ltx-2-19b-distilled.safetensors) **Spatial Upscaler** - Required for current two-stage pipeline implementations in this repository. Download to `COMFYUI_ROOT_FOLDER/models/latent_upscale_models` folder. * [`ltx-2-spatial-upscaler-x2-1.0.safetensors`](https://huggingface.co/Lightricks/LTX-2/blob/main/ltx-2-spatial-upscaler-x2-1.0.safetensors) **Temporal Upscaler** - Required for current two-stage pipeline implementations in this repository. Download to `COMFYUI_ROOT_FOLDER/models/latent_upscale_models` folder. * [`ltx-2-temporal-upscaler-x2-1.0.safetensors`](https://huggingface.co/Lightricks/LTX-2/blob/main/ltx-2-temporal-upscaler-x2-1.0.safetensors) **Distilled LoRA** - Required for current two-stage pipeline implementations in this repository (except DistilledPipeline and ICLoraPipeline). Download to `COMFYUI_ROOT_FOLDER/models/loras` folder. * [`ltx-2-19b-distilled-lora-384.safetensors`](https://huggingface.co/Lightricks/LTX-2/blob/main/ltx-2-19b-distilled-lora-384.safetensors) **Gemma Text Encoder** Download all files from the repository to `COMFYUI_ROOT_FOLDER/models/text_encoders/gemma-3-12b-it-qat-q4_0-unquantized`. * [`Gemma 3`](https://huggingface.co/google/gemma-3-12b-it-qat-q4_0-unquantized) **LoRAs** Choose and download to `COMFYUI_ROOT_FOLDER/models/loras` folder. * [`ltx-2-19b-ic-lora-union-ref0.5.safetensors`](https://huggingface.co/Lightricks/LTX-2-19b-IC-LoRA-Union-Control/blob/main/ltx-2-19b-ic-lora-union-control-ref0.5.safetensors) *(Union LoRA - supports depth, pose, and edges in one model)* * [`ltx-2-19b-ic-lora-canny-control.safetensors`](https://huggingface.co/Lightricks/LTX-2-19b-IC-LoRA-Canny-Control/blob/main/ltx-2-19b-ic-lora-canny-control.safetensors) * [`ltx-2-19b-ic-lora-depth-control.safetensors`](https://huggingface.co/Lightricks/LTX-2-19b-IC-LoRA-Depth-Control/blob/main/ltx-2-19b-ic-lora-depth-control.safetensors) * [`ltx-2-19b-ic-lora-detailer.safetensors`](https://huggingface.co/Lightricks/LTX-2-19b-IC-LoRA-Detailer/blob/main/ltx-2-19b-ic-lora-detailer.safetensors) * [`ltx-2-19b-ic-lora-pose-control.safetensors`](https://huggingface.co/Lightricks/LTX-2-19b-IC-LoRA-Pose-Control/blob/main/ltx-2-19b-ic-lora-pose-control.safetensors) * [`ltx-2-19b-lora-camera-control-dolly-in.safetensors`](https://huggingface.co/Lightricks/LTX-2-19b-LoRA-Camera-Control-Dolly-In/blob/main/ltx-2-19b-lora-camera-control-dolly-in.safetensors) * [`ltx-2-19b-lora-camera-control-dolly-left.safetensors`](https://huggingface.co/Lightricks/LTX-2-19b-LoRA-Camera-Control-Dolly-Left/blob/main/ltx-2-19b-lora-camera-control-dolly-left.safetensors) * [`ltx-2-19b-lora-camera-control-dolly-out.safetensors`](https://huggingface.co/Lightricks/LTX-2-19b-LoRA-Camera-Control-Dolly-Out/blob/main/ltx-2-19b-lora-camera-control-dolly-out.safetensors) * [`ltx-2-19b-lora-camera-control-dolly-right.safetensors`](https://huggingface.co/Lightricks/LTX-2-19b-LoRA-Camera-Control-Dolly-Right/blob/main/ltx-2-19b-lora-camera-control-dolly-right.safetensors) * [`ltx-2-19b-lora-camera-control-jib-down.safetensors`](https://huggingface.co/Lightricks/LTX-2-19b-LoRA-Camera-Control-Jib-Down/blob/main/ltx-2-19b-lora-camera-control-jib-down.safetensors) * [`ltx-2-19b-lora-camera-control-jib-up.safetensors`](https://huggingface.co/Lightricks/LTX-2-19b-LoRA-Camera-Control-Jib-Up/blob/main/ltx-2-19b-lora-camera-control-jib-up.safetensors) * [`ltx-2-19b-lora-camera-control-static.safetensors`](https://huggingface.co/Lightricks/LTX-2-19b-LoRA-Camera-Control-Static/blob/main/ltx-2-19b-lora-camera-control-static.safetensors) ## Advanced Techniques ### Low VRAM * For systems with low VRAM you can use the model loader nodes from [low_vram_loaders.py](./low_vram_loaders.py). Those nodes ensure the correct order of execution and perform the model offloading such that generation fits in 32 GB VRAM. * Use --reserve-vram ComfyUI parameter: `python -m main --reserve-vram 5` (or other number in GB). * For complete information about using LTX-2 models, workflows, and nodes in ComfyUI, please visit our [Open Source documentation](https://docs.ltx.video/open-source-model/integration-tools/comfy-ui).