
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:
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. |
 |