ve aspects of using ToMe on the StableDiffusionPipeline. 

Using ToMe
	
The authors of ToMe released a convenient Python library called tomesd that lets us apply ToMe to a DiffusionPipeline like so:


	Copied
from diffusers import StableDiffusionPipeline
import tomesd

pipeline = StableDiffusionPipeline.from_pretrained(
      "runwayml/stable-diffusion-v1-5", torch_dtype=torch.float16
).to("cuda")
+ tomesd.apply_patch(pipeline, ratio=0.5)

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