The next step is to tokenize the text to generate embeddings. The text is used to condition the UNet model and steer the diffusion process towards something that resembles the input prompt.  
<Tip>  
💡 The `guidance_scale` parameter determines how much weight should be given to the prompt when generating an image.  
</Tip>  
Feel free to choose any prompt you like if you want to generate something else!  
```py
>>> prompt = ["a photograph of an astronaut riding a horse"]