# Tutorial

- [Introduction to the Causal Image Generation Model](/causal-scene-generation/tutorial/introduction.md): How to create a causal image generation model?
- [Building the Image Generation Directed Graph](/causal-scene-generation/tutorial/image_generation_dag.md): What is the DAG for our use case ? What does it mean ?
- [Specifying the Non-Decoder/Encoder Parameters of the Model](/causal-scene-generation/tutorial/cpt.md): How to get the conditional probability values ?
- [Game Character Dataset](/causal-scene-generation/tutorial/game-character-dataset.md): Create a pytorch dataset
- [Putting things together](/causal-scene-generation/tutorial/implementation.md): Training the model and putting all the above things together.
- [Inference Mode](/causal-scene-generation/tutorial/implementation/inference-mode.md): How to perform inference on causal generative model
- [Results](/causal-scene-generation/tutorial/results.md)