---
base_model:
- Lightricks/LTX-Video
- a-r-r-o-w/LTX-Video-diffusers
datasets: finetrainers/crush-smol
library_name: diffusers
license: other
license_link: https://huggingface.co/Lightricks/LTX-Video/blob/main/License.txt
widget:
- text: >-
    PIKA_CRUSH A red toy car is being crushed by a large hydraulic press, which is flattening objects as if they were under a hydraulic press.
  output:
    url: final-7500-0-2-PIKA_CRUSH-A-red-toy-car-.mp4
- text: >-
    PIKA_CRUSH A large metal cylinder is seen pressing down on a pile of Oreo cookies, flattening them as if they were under a hydraulic press.
  output:
    url: final-7500-0-2-PIKA_CRUSH-A-large-metal-.mp4
- text: >-
    PIKA_CRUSH A red toy car is being crushed by a large hydraulic press, which is flattening objects as if they were under a hydraulic press.
  output:
    url: final-7500-1-2-PIKA_CRUSH-A-red-toy-car-.mp4
tags:
- text-to-video
- diffusers-training
- diffusers
- template:sd-lora
- ltx-video
---

<Gallery />

This is a LoRA fine-tune of the [Lightricks/LTX-Video](https://huggingface.co/Lightricks/LTX-Video) model on the
[finetrainers/crush-smol](https://huggingface.co/datasets/finetrainers/crush-smol) dataset.

Code: https://github.com/a-r-r-o-w/finetrainers

> [!IMPORTANT]
> This is an experimental checkpoint and its poor generalization is well-known.

Inference code:

```python
import torch
from diffusers import LTXPipeline
from diffusers.utils import export_to_video

pipe = LTXPipeline.from_pretrained(
    "Lightricks/LTX-Video", torch_dtype=torch.bfloat16
).to("cuda")
pipe.load_lora_weights("my-awesome-name/my-awesome-lora", adapter_name="ltxv-lora")
pipe.set_adapters(["ltxv-lora"], [0.9])

video = pipe("<my-awesome-prompt>").frames[0]
export_to_video(video, "output.mp4", fps=8)
```

Training logs are available on WandB [here](https://wandb.ai/aryanvs/finetrainers-ltxvideo).