> 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.

# Wan2.1-T2V-14B-Diffusers

> Use NeMo AutoModel to fine-tune Wan2.1-T2V-14B-Diffusers for Diffusion workflows with checked-in text to video recipes and documented distributed settings.

[Wan2.1-T2V-14B-Diffusers](https://huggingface.co/Wan-AI/Wan2.1-T2V-14B-Diffusers) has a checked-in NeMo AutoModel recipe for text to video.

## Fine-Tune Wan2.1-T2V-14B-Diffusers

Follow the [installation instructions](/get-started/installation), then review the checked-in recipe and
its declared topology below before choosing a local or cluster launcher.

```bash
uv run torchrun --nproc-per-node=8 \
  examples/diffusion/finetune/finetune.py \
  -c examples/diffusion/finetune/wan2_1_t2v_flow.yaml
```

## Choose a Workflow

| Goal                                         | Start Here                                                                                                                            |
| -------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------- |
| Run the primary recipe for this model        | Use the [recipe configuration](https://github.com/NVIDIA-NeMo/Automodel/blob/main/examples/diffusion/finetune/wan2_1_t2v_flow.yaml).  |
| Try another checked-in recipe for this model | Use the [alternate recipe](https://github.com/NVIDIA-NeMo/Automodel/blob/main/examples/diffusion/finetune/wan2_1_t2v_flow_lora.yaml). |

### Configuration

| Setting  | Configuration                |
| -------- | ---------------------------- |
| Hardware | -                            |
| Strategy | -                            |
| Nodes    | -                            |
| Features | Checkpointing (enabled=true) |
| Advanced | float32                      |

### More Recipes for This Model

* [`wan2_1_t2v_flow_lora.yaml`](https://github.com/NVIDIA-NeMo/Automodel/blob/main/examples/diffusion/finetune/wan2_1_t2v_flow_lora.yaml)

## Model Reference

### Model Architecture

| Property     | Value         |
| ------------ | ------------- |
| Task         | Text to video |
| Architecture | -             |

### Available Models

* [`Wan-AI/Wan2.1-T2V-14B-Diffusers`](https://huggingface.co/Wan-AI/Wan2.1-T2V-14B-Diffusers)

## Related Resources

* [Diffusion fine-tuning guide](/recipes-e2e-examples/diffusion-fine-tuning)