LTX 2.5 is already capable of generating impressive video, but the right LoRAs can take its capabilities much further. Instead of using the model only for basic text-to-video or image to video generation, these community-developed LoRAs add more specialized controls for things like video upscaling, camera movement, face swapping, character consistency, multi-subject references, and visual enhancement.
What makes these LTX2.5 LoRAs particularly interesting is that they focus on solving practical problems you often run into when creating AI videos. There is a generative upscaler for that. Dedicated camera LoRAs give you control over the speed.
We look at some of the useful LTX-2.5 LoRAs currently available, what each one is designed to do, and how they can expand what you can create with LTX 2.5.
Table of contents
Instruction to do the setup:
You need to use the base LTX 2.5 model and workflow already set it up. Next, download any of these lora models as per your use case and save it into ComfyUI/models/loras folder.
LTX 2.5 Multi Subject Reference LORA
The LTX 2.5 Multi-Subject Reference LoRA lets you use up to five reference images to maintain the appearance of multiple characters, clothing, objects, and backgrounds. It supports multi-subject and subject-object compositions, making it easier to create consistent scenes with several referenced elements.
You can download LTX 2.5 Multi-Subject Reference LoRA model from Hugging face repository
LTX-2.5 IC-LoRA Pixel Spatial Upscaler
The LTX 2.5 IC-LoRA Pixel Spatial Upscaler by Lightricks is a generative upscaling LoRA that enhances low-resolution videos by synthesizing new fine details rather than simply interpolating existing pixels. This makes it more than a traditional video upscaler—it can generate additional visual detail while increasing the resolution.
You can download LTX 2.5 IC LoRA pixel upscaler model from Lightricks Hugging face repository.
LTX 2.5 x Z-Image
LTX-2.5 x Z-Image is designed to generate natural human motion while maintaining accurate lip-sync, facial expressions, and character consistency. It helps keep the character's face and voice consistent across different shots, making it well suited for creating coherent talking-character videos.
You can download LTX-2.5 x Z-Image model from Hugging face repository.
LTX 2.5 CQ Video + Image Enhancer LoRAs
The LTX-2.5 CQ Video plus Image Enhancer LoRAs come in two versions thats one for images and one for videos. They are designed to enhance, restore, and improve the quality of old, low-resolution, or degraded visual content, making them useful for restoring and upscaling images and videos.
You can download LTX-2.5 CQ Video plus Image Enhancer LoRA model from Hugging face repository.
LTX 2.5 ReelBids dolly-in camera LoRA (V2)
The LTX-2.5 ReelBids Dolly-In Camera LoRA V2 improves on the original V1 with support for 1,250 and 1,500 training steps. It generates a smooth dolly-in camera movement with seven selectable speed levels, giving you more control over the camera's forward motion.
You can download LTX-2.5 ReelBids Dolly-In Camera LoRA V2 model from Hugging face repository
LTX 2.5 ReelBids dolly-in camera LoRA V1
The LTX-2.5 ReelBids Dolly-In Camera LoRA V1 adds a smooth dolly-in camera movement to LTX-2.5 image-to-video generation, with seven selectable speed levels. A single adapter covers the entire speed range, unlike the official LTX-2 19B camera LoRAs, which are limited to one speed per adapter and are designed specifically for the 19B model.
You can download LTX-2.5 ReelBids Dolly-In Camera LoRA V1 model from Hugging face repository
LTX 2.5 instant Face Swap LoRA
The LTX-2.5 Instant Face Swap LoRA is designed to quickly swap a subject's face in LTX-2.5 generated videos while maintaining a natural and consistent appearance throughout the footage.
You can download LTX-2.5 Instant Face Swap LoRA model from Hugging face repository
