> For clean Markdown of any page, append .md to the page URL.
> For a complete documentation index, see https://docs.nvidia.com/nemo/automodel/llms.txt.
> For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.nvidia.com/nemo/automodel/_mcp/server.

# LTX-2.3

> Supported LTX-2.3 checkpoint and NeMo AutoModel diffusion recipes.

[LTX-2.3](https://huggingface.co/diffusers/LTX-2.3-Diffusers) is a text-to-video diffusion model supported by NeMo AutoModel's flow-matching training recipe.

|                  |                                               |
| ---------------- | --------------------------------------------- |
| **Task**         | Text-to-Video                                 |
| **Architecture** | Diffusion Transformer (Flow Matching)         |
| **HF Org**       | [diffusers](https://huggingface.co/diffusers) |

## Example Model and Recipes

| Model                                                                               | Recipe                                                                                                                  |
| ----------------------------------------------------------------------------------- | ----------------------------------------------------------------------------------------------------------------------- |
| [`diffusers/LTX-2.3-Diffusers`](https://huggingface.co/diffusers/LTX-2.3-Diffusers) | [Full fine-tuning](https://github.com/NVIDIA-NeMo/Automodel/blob/main/examples/diffusion/finetune/ltx2_3_t2v_flow.yaml) |
| [`diffusers/LTX-2.3-Diffusers`](https://huggingface.co/diffusers/LTX-2.3-Diffusers) | [LoRA](https://github.com/NVIDIA-NeMo/Automodel/blob/main/examples/diffusion/finetune/ltx2_3_t2v_flow_lora.yaml)        |

```bash
uv run torchrun --nproc-per-node=8 examples/diffusion/finetune/finetune.py \
  -c examples/diffusion/finetune/ltx2_3_t2v_flow.yaml
```

See the [Diffusion Fine-Tuning Guide](/recipes-e2e-examples/diffusion-fine-tuning).