Collection of examples and recipes for training and inference using the Data Foundation Model (DFM) framework.
If you are new to DFM, start with the Automodel Examples for high-level API usage.
| Category | Description | Key Examples |
|---|---|---|
| Automodel | High-level API for seamless training and inference | Wan 2.1 Fine-tuning, Pretraining, Generation |
| Megatron | Advanced recipes and configurations using Megatron-Core | DiT Recipes, Wan Recipes |
For issues or questions, please open a GitHub issue or refer to the main documentation.