True).images
>>> images = pipeline.numpy_to_pil(np.asarray(images.reshape((num_samples,) + images.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 (batch_size, height, width, num_channels).   nsfw_content_detected (List[bool]) —
List indi