# LTX-2 Image-to-Video Adapter LoRA
A high-rank LoRA adapter for [LTX-Video 2](https://github.com/Lightricks/LTX-Video) that substantially improves image-to-video generation quality. No complex workflows, no image preprocessing, no compression tricks -- just a direct image embedding pipeline that works.
## What This Is
This LoRA was trained on **30,000 generated videos** spanning a wide range of subjects, styles, and motion types. The result is a highly generalized adapter that strengthens LTX-2's ability to take a single image and produce coherent, high-fidelity video from it.
### Key Specs
| Parameter | Value |
|-----------|-------|
| **Base Model** | LTX-Video 2 |
| **LoRA Rank** | 256 |
| **Training Set** | ~30,000 generated videos |
| **Training Scope** | Visual only (no explicit audio training) |
## What It Does
- **Improved image fidelity** -- the generated video maintains stronger adherence to the source image with less drift or distortion across frames.
- **Better motion coherence** -- subjects move more naturally and consistently throughout the clip.
- **Broader generalization** -- performs well across diverse subjects and scenes without needing per-category tuning.
- **Zero-workflow overhead** -- no ControlNet, no IP-Adapter stacking, no image manipulation required. Load the LoRA, attach an image embedding, prompt, and generate.
### A Note on Audio
Audio was **not** explicitly trained into this LoRA. However, due to the nature of how LTX-2 handles its latent space, there are subtle shifts in audio output compared to the base model. This is a side effect of the training process, not an intentional feature.
## Usage (ComfyUI)
1. Place the LoRA file in your `ComfyUI/models/loras/` directory.
2. Add an **LTX-2** model loader node and load the base LTX-2 checkpoint.
3. Add a **Load LoRA** node and select this adapter.
4. Connect an **image embedding** node with your source image.
5. Add your text prompt and generate.
No additional nodes, preprocessing steps, or auxiliary models are needed.
### Workflow
## Examples
Reference videos demonstrating the adapter's output quality:
## Model Details
- **Architecture:** LoRA (Low-Rank Adaptation) applied to LTX-Video 2's transformer layers
- **Rank 256** provides a high-capacity adaptation while remaining efficient to load and merge
- **Training data** was intentionally diverse to avoid overfitting to any single domain, producing a general-purpose image-to-video adapter rather than a style-specific fine-tune
## License
Please refer to the [LTX-Video license](https://github.com/Lightricks/LTX-Video) for base model terms.