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Check out the documentation for more information.
LTX-2 Image-to-Video Adapter LoRA
A high-rank LoRA adapter for LTX-Video 2 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
Out of the box, getting LTX-2 to reliably infer motion from a single image requires heavy workflow engineering -- ControlNet stacking, image preprocessing, latent manipulation, and careful node routing. The purpose of this LoRA is to eliminate that complexity entirely. It teaches the model to produce solid image-to-video results from a straightforward image embedding, no elaborate pipelines needed.
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 image-to-video capabilities without any of the typical workflow overhead.
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.
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)
- Place the LoRA file in your
ComfyUI/models/loras/directory. - Add an LTX-2 model loader node and load the base LTX-2 checkpoint.
- Add a Load LoRA node and select this adapter.
- Connect an image embedding node with your source image.
- Add your text prompt and generate.
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 for base model terms.