Pipeline

>>> prior_pipe = WuerstchenPriorPipeline.from_pretrained(
...     "warp-ai/wuerstchen-prior", torch_dtype=torch.float16
... ).to("cuda")

>>> prompt = "an image of a shiba inu, donning a spacesuit and helmet"
>>> prior_output = pipe(prompt)  WuerstchenPriorPipelineOutput  class diffusers.pipelines.wuerstchen.pipeline_wuerstchen_prior.WuerstchenPriorPipelineOutput  < source > ( image_embeddings: Union  )   Parameters   image_embeddings