on"

>>> pipeline, params = FlaxStableDiffusionImg2ImgPipeline.from_pretrained(
...     "CompVis/stable-diffusion-v1-4",
...     revision="flax",
...     dtype=jnp.bfloat16,
... )

>>> num_samples = jax.device_count()
>>> rng = jax.random.split(rng, jax.device_count())
>>> prompt_ids, processed_image = pipeline.prepare_inputs(
...     prompt=[prompts] * num_samples, image=[init_img] * num_samples
... )
>>> p_params = replicate(params)
>>> promp