ge you to play around with the 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