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Any new stable diffusion models

any new “stable diffusion models” method)    def _default_new_diffusion_model(*args, **kwargs):        # This is an default for the ‘n’ option of DiffusionModel        c = self._get_c()  ## TODO: figure out what you like to do when it’s called…        dft.model.DiffusionModel(diffusion_model=self)._set_parameters(*args)        return copy(dft.model)    # def __repr__(self) -> str:        # Return “DiffusionModel object at {:.6E}”.format(timeit.timeit(“class DiffusionModel.__repr__”, number=3))    @property    def name(self) -> str or None:        “””        The type of this model this instance belonging to in a project. (e.g., “FPGA”)        “””        if not isinstance(self._c, CythonCExtension):            raise TypeError(“‘self._c’ must be set to a `object`.  Found ‘{}’ instead.”.format(                repr(type(self)))            )        return self._c.name    # def check_parameters(self, parameter_values):    #     if not all

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