images = sd_pipeline(prompts, num_images_per_prompt=1, output_type="np").images

print(images.shape)
# (6, 512, 512, 3)
```  
And then, we calculate the CLIP score.  
```python
from torchmetrics.functional.multimodal import clip_score
from functools import partial

clip_score_fn = partial(clip_score, model_name_or_path="openai/clip-vit-base-patch16")