# How to use 

***To prompt you can use the following code***

```python
  from diffusers import StableDiffusionPipeline
  
  model_path = "Dipl0/pepe-diffuser"
  pipe = StableDiffusionPipeline.from_pretrained(model_path, torch_dtype=torch.float16)
  pipe.to("cuda")
  
  prompt = "pepe surfing on the moon"
  image = pipe(prompt, num_inference_steps=50, guidance_scale=7.5).images[0]
  image.save(prompt.replace(" ","_") + ".png")
```
{"library_name": "diffusers", "tags": ["pepe"], "pipeline_tag": "text-to-image"}
diffusers tensorboard pepe text-to-image endpoints_compatible has_space diffusers:StableDiffusionPipeline region:us
TAGS
#diffusers #tensorboard #pepe #text-to-image #endpoints_compatible #has_space #diffusers-StableDiffusionPipeline #region-us 

# How to use 

*To prompt you can use the following code*


# How to use 

*To prompt you can use the following code*
TAGS
#diffusers #tensorboard #pepe #text-to-image #endpoints_compatible #has_space #diffusers-StableDiffusionPipeline #region-us 
 # How to use 

*To prompt you can use the following code*
TAGS
#diffusers #tensorboard #pepe #text-to-image #endpoints_compatible #has_space #diffusers-StableDiffusionPipeline #region-us 
# How to use 

*To prompt you can use the following code*