y"

>>> # load control net and stable diffusion v1-5
>>> controlnet, controlnet_params = FlaxControlNetModel.from_pretrained(
...     "lllyasviel/sd-controlnet-canny", from_pt=True, dtype=jnp.float32
... )
>>> pipe, params = FlaxStableDiffusionControlNetPipeline.from_pretrained(
...     "runwayml/stable-diffusion-v1-5", controlnet=controlnet, revision="flax", dtype=jnp.float32
... )
>>> params["controlnet"] = controlnet_params

>>> num_samples 