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LTX-Video Support for ComfyUI
| Date | Stars |
|---|---|
| 2026-07-24 | 3987 |
| 2026-07-25 | 3991 |
| 2026-07-28 | 3991 |
| 2026-07-30 | 3991 |
| 2026-08-06 | 3991 |
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# ComfyUI-LTXVideo [](https://github.com/Lightricks/LTX-2) [](https://ltx.io/model) [](https://huggingface.co/Lightricks/LTX-2.3) [](https://github.com/Lightricks/LTX-2/tree/main/packages/ltx-trainer) [](https://app.ltx.studio/ltx-2-playground/i2v) [](https://videos.ltx.io/LTX-2/grants/LTX_2_Technical_Report_compressed.pdf) [](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/ ``` LTX-2.3 Workflows: * [`Text/image to video full/distilled model; single stage`](./example_workflows/2.3/LTX-2.3_T2V_I2V_Single_Stage_Distilled_Full.json) * [`Text/image to video distilled model; two stages (with upsampling)`](./example_workflows/2.3/LTX-2.3_T2V_I2V_Two_Stage_Distilled.json) * [`IC-LoRA distilled model depth + human pose + edges`](./example_workflows/2.3/LTX-2.3_ICLoRA_Union_Control_Distilled.json) * [`IC-LoRA distilled model I2V motion tracking`](./example_workflows/2.3/LTX-2.3_ICLoRA_Motion_Track_Distilled.json) * [`IC-LoRA distilled model HDR`](./example_workflows/2.3/LTX-2.3_ICLoRA_HDR_Distilled.json) * [`IC-LoRA distilled model Lipdub; two stages (with upsampling)`](./example_workflows/2.3/LTX-2.3_ICLoRA_Lipdub_Two_Stage_Distilled.json) * [`IC-LoRA distilled model pixel spatial upscaling`](./example_workflows/2.3/LTX-2.3_ICLoRA_Pixel_Spatial_Upscaler_Distilled.json) * [`Text to audio distilled model; single stage`](./example_workflows/2.3/LTX-2.3_T2A_Single_Stage_Distilled.json) Older Workflows (LTX-2.0): * [`Text to video full model`](./example_workflows/2.0/LTX-2_T2V_Full_wLora.json) * [`Text to video distilled model (Fast)`](./example_workflows/2.0/LTX-2_T2V_Distilled_wLora.json) * [`Image to video full model`](./example_workflows/2.0/LTX-2_I2V_Full_wLora.json) * [`Image to video distilled model (Fast)`](./example_workflows/2.0/LTX-2_I2V_Distilled_wLora.json) * [`Video to video detailer`](./example_workflows/2.0/LTX-2_V2V_Detailer.json) * [`IC-LoRA distilled model (depth + human pose + edges)`](./example_workflows/2.0/LTX-2_ICLoRA_All_Distilled.json) * [`IC-LoRA distilled model with downscaled reference latents`](./example_workflows/2.0/LTX-2_ICLoRA_All_Distilled_ref0.5.json) ## Union IC-LoRA
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:4deaa2795d918336, topic:diffusion-models, topic:text-to-image, topic:comfyui