---
license: apache-2.0
library_name: diffusers
tags:
- video
- ltx-2
- ltx-2.3
- latent-upsampler
base_model: Lightricks/LTX-2.3
---

# LTX-2.3 Spatial Upscaler x2 1.1 (Diffusers)

Diffusers-format conversion of [`ltx-2.3-spatial-upscaler-x2-1.1.safetensors`](https://huggingface.co/Lightricks/LTX-2.3/blob/main/ltx-2.3-spatial-upscaler-x2-1.1.safetensors) from the official [Lightricks/LTX-2.3](https://huggingface.co/Lightricks/LTX-2.3) release.

Weights are byte-identical to the upstream release; only the layout has been rearranged so `LTX2LatentUpsamplerModel.from_pretrained` and `LTX2LatentUpsamplePipeline` can consume it directly.

## Usage

```python
import torch
from diffusers.pipelines.ltx2 import LTX2LatentUpsamplerModel
from diffusers.pipelines.ltx2.pipeline_ltx2_latent_upsample import LTX2LatentUpsamplePipeline

latent_upsampler = LTX2LatentUpsamplerModel.from_pretrained(
    '<your-username>/<your-repo>',
    subfolder='latent_upsampler',
    torch_dtype=torch.bfloat16,
)
upsample_pipe = LTX2LatentUpsamplePipeline(vae=your_pipe.vae, latent_upsampler=latent_upsampler)
```

## License

Apache 2.0, inherited from the upstream Lightricks/LTX-2.3 release.