he pipeline for batched image generation, and tie each Generator to a seed so you can reuse it for an image.
Let’s use runwayml/stable-diffusion-v1-5 for example, and generate several versions of the following prompt:


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prompt = "Labrador in the style of Vermeer"
Instantiate a pipeline with DiffusionPipeline.from_pretrained() and place it on a GPU (if available):


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>>> from diffusers import DiffusionPipeline

>>> pipe = Diffusio