DataDesigner/docs/notebook_source
Nabin Mulepati 8f7a72094a
feat: auto-detect ImageContext format for image-to-image generation (#342)
* updates to support image->image

* update notebooks

* regen colab notebooks

* simplify tests
2026-02-20 15:54:42 -05:00
..
1-the-basics.py feat: add image generation support with multi-modal context (#317) 2026-02-12 14:00:28 -07:00
2-structured-outputs-and-jinja-expressions.py feat: add image generation support with multi-modal context (#317) 2026-02-12 14:00:28 -07:00
3-seeding-with-a-dataset.py feat: add image generation support with multi-modal context (#317) 2026-02-12 14:00:28 -07:00
4-providing-images-as-context.py feat: auto-detect ImageContext format for image-to-image generation (#342) 2026-02-20 15:54:42 -05:00
5-generating-images.py docs: add image generation documentation and image-to-image editing tutorial (#319) 2026-02-12 14:38:52 -07:00
6-editing-images-with-image-context.py feat: auto-detect ImageContext format for image-to-image generation (#342) 2026-02-20 15:54:42 -05:00
_pyproject.toml chore: moving notebooks to jupytext and cleaning up workflows (#91) 2025-12-03 17:29:07 -03:00
_README.md feat: auto-detect ImageContext format for image-to-image generation (#342) 2026-02-20 15:54:42 -05:00
README.md fix: small typo on text file (#95) 2025-12-03 18:31:35 -03:00

📓 Notebooks in .py Format

In this folder you can find all our tutorial notebooks in .py format. They can be converted to actual Jupyter notebooks by typing

make convert-execute-notebooks

from the root of the repository. This will not only convert but also execute all of the notebooks -- for that to work, make sure you went through our Quick Start and have API keys set. A new folder docs/notebooks will be created, including README.md and pyproject.toml files.

Alternatively, you can use Jupytext directly

uv run --group notebooks --group docs jupytext --to ipynb *.py

🔄 Converting Jupyter notebooks to .py

If you want to contribute with your own notebook, you can use the following command to generate .py files in the same format as the ones in this folder:

uv run jupytext --to py [notebook-name].ipynb -o [notebook-name].py