The training scripts provides many parameters to help you customize your training run. All of the parameters and their descriptions are found in the [`parse_args()`](https://github.com/huggingface/diffusers/blob/6e68c71503682c8693cb5b06a4da4911dfd655ee/examples/kandinsky2_2/text_to_image/train_text_to_image_prior.py#L190) function. The training scripts provides default values for each parameter, such as the training batch size and learning rate, but you can also set your own values in the training command if you'd like.  
For example, to speedup training with mixed precision using the fp16 format, add the `--mixed_precision` parameter to the training command:  
```bash
accelerate launch train_text_to_image_prior.py \
--mixed_precision="fp16"
```  
Most of the parameters are identical to the parameters in the [Text-to-image](text2image#script-parameters) training guide, so let's get straight to a walkthrough of the Kandinsky training scripts!
/Users/nielsrogge/Documents/python_projecten/diffusers/docs/source/en/training/kandinsky.md