different parameters supported by the
generate() method (documentation) for the generation quality you are looking for.
4. Load the embedding model: 
Here, we need to use the same text encoder model used by the subsequent Stable Diffusion model.


	Copied
from diffusers import StableDiffusionPix2PixZeroPipeline 

pipeline = StableDiffusionPix2PixZeroPipeline.from_pretrained(
    "CompVis/stable-diffusion-v1-4", torch_dtype=torch.float16
)
pipel