--scale_lr \
--hflip  \
--modifier_token "<new1>+<new2>" \
--push_to_hub
```  
</hfoption>
</hfoptions>  
Once training is finished, you can use your new Custom Diffusion model for inference.  
<hfoptions id="training-inference">
<hfoption id="single concept">  
```py
import torch
from diffusers import DiffusionPipeline