ne.   Copied from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained(
	"runwayml/stable-diffusion-v1-5", torch_dtype=torch.float16
).to("cuda")
image = pipeline(
	prompt_embeds=prompt_embeds, # generated from Compel
	negative_prompt_embeds=negative_prompt_embeds, # generated from Compel
).images[0]  ControlNet As you saw in the ControlNet section, these models offer a more flexible and 