---
base_model: Lightricks/LTX-Video
library_name: diffusers
widget: []
tags:
- text-to-video
- diffusers-training
- diffusers
- finetrainers
- template:sd-lora
- lora
- text-to-video
- diffusers-training
- diffusers
- finetrainers
- template:sd-lora
- lora
---

<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->


# LoRA Finetune

<Gallery />

## Model description

This is a lora finetune of model: `Lightricks/LTX-Video`.

The model was trained using [`finetrainers`](https://github.com/a-r-r-o-w/finetrainers).

`id_token` used: BW_STYLE (if it's not `None`, it should be used in the prompts.)

## Download model

[Download LoRA](smktech9/ltx-video/tree/main) in the Files & Versions tab.

## Usage

Requires the [🧨 Diffusers library](https://github.com/huggingface/diffusers) installed.

```py
TODO
```

For more details, including weighting, merging and fusing LoRAs, check the [documentation](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters) on loading LoRAs in diffusers.


## Intended uses & limitations

#### How to use

```python
# TODO: add an example code snippet for running this diffusion pipeline
```

#### Limitations and bias

[TODO: provide examples of latent issues and potential remediations]

## Training details

[TODO: describe the data used to train the model]