emergency fix for #1199

import torch

import tqdm

from PIL import Image

import inspect

import k_diffusion.sampling

import ldm.models.diffusion.ddim

            k_diffusion.sampling.torch = TorchHijack(self)

        extra_params_kwargs = {}

        for val in self.extra_params:

          if hasattr(p,val):

            extra_params_kwargs[val] = getattr(p,val)

        for param_name in self.extra_params:

            if hasattr(p, param_name) and param_name in inspect.signature(self.func).parameters:

                extra_params_kwargs[param_name] = getattr(p, param_name)

        return self.func(self.model_wrap_cfg, xi, sigma_sched, extra_args={'cond': conditioning, 'uncond': unconditional_conditioning, 'cond_scale': p.cfg_scale}, disable=False, callback=self.callback_state, **extra_params_kwargs)

            k_diffusion.sampling.torch = TorchHijack(self)

        extra_params_kwargs = {}

        for val in self.extra_params:

          if hasattr(p,val):

            extra_params_kwargs[val] = getattr(p,val)

        for param_name in self.extra_params:

            if hasattr(p, param_name) and param_name in inspect.signature(self.func).parameters:

                extra_params_kwargs[param_name] = getattr(p, param_name)

        samples = self.func(self.model_wrap_cfg, x, sigmas, extra_args={'cond': conditioning, 'uncond': unconditional_conditioning, 'cond_scale': p.cfg_scale}, disable=False, callback=self.callback_state, **extra_params_kwargs)