_inference_steps=50,
...     jit=True,
...     height=512,
...     width=768,
... ).images

>>> output_images = pipeline.numpy_to_pil(np.asarray(output.reshape((num_samples,) + output.shape[-3:])))  FlaxStableDiffusionPipelineOutput  class diffusers.pipelines.stable_diffusion.FlaxStableDiffusionPipelineOutput  < source > ( images: ndarray nsfw_content_detected: List  )   Parameters   images (np.ndarray) —
Denoised images of array shape of (batc