"stable-diffusion-v1-5/stable-diffusion-v1-5", variant="non_ema", use_safetensors=True
)
```  
</hfoption>
</hfoptions>  
Use the `variant` parameter in the [`DiffusionPipeline.save_pretrained`] method to save a checkpoint as a different floating point type or as a non-EMA variant. You should try save a variant to the same folder as the original checkpoint, so you have the option of loading both from the same folder.  
<hfoptions id="save">
<hfoption id="fp16">  
```python