prompt = "a tiny astronaut hatching from an egg on the moon"
image = pipeline(prompt).images[0]
image.save("auraflow.png")
```  
Loading [GGUF checkpoints](https://huggingface.co/docs/diffusers/quantization/gguf) are also supported:  
```py
import torch
from diffusers import (
AuraFlowPipeline,
GGUFQuantizationConfig,
AuraFlowTransformer2DModel,
)