We're currently making some important changes to Setta. We'll be back soon!
Each folder in this repo is a self-contained Setta project.
First, clone this repo:
git clone https://github.com/settadev/examples.git
cd examples
Then go into one of the directories. For example:
cd stream_diffusion_img_to_img
Follow the installation instructions in that folder's readme. Usually it's a single command like . ./install.sh.
Then start Setta:
setta
And go to http://127.0.0.1:8000/ in your browser.
| Example name | Description | Preview |
|---|---|---|
| Stream Diffusion Image to Image | A real-time drawing interface that creates multiple AI-enhanced images as you sketch in parallel. |  |
| TRL Language Model Finetuning | Trying out different training configurations, using the Hugging Face Transformer Reinforcement Learning (TRL) library. |  |
| Flux Inpainting | Use the FLUX.1-Fill-dev model by Black Forest Labs to inpaint and outpaint images. |  |
| Groq API Chat | Chat with Llama 3.3 using the Groq API. |  |
| Transformers Sequence Classification | Train text classification models using the Hugging Face Transformers library. |  |
| PyTorch Metric Learning | Finetune embedding models using different metric learning algorithms. |  |
| SapientML | Use AutoML to find the best model for tabular data. |  |