def audio_slice_to_image(self, slice: int) -> Image.Image:
        """Convert slice of audio to spectrogram.

        Args:
            slice (`int`):
                Slice number of audio to convert (out of `get_number_of_slices()`).

        Returns:
            `PIL Image`:
                A grayscale image of `x_res x y_res`.
        """
        S = librosa.feature.melspectrogram(
            y=self.get_audio_slice(slice), sr=self.sr, n_fft=self.n_fft, hop_length=self.hop_length, n_mels=self.n_mels
        )
        log_S = librosa.power_to_db(S, ref=np.max, top_db=self.top_db)
        bytedata = (((log_S + self.top_db) * 255 / self.top_db).clip(0, 255) + 0.5).astype(np.uint8)
        image = Image.fromarray(bytedata)
        return image
Convert slice of audio to spectrogram.

        Args:
            slice (`int`):
                Slice number of audio to convert (out of `get_number_of_slices()`).

        Returns:
            `PIL Image`:
                A grayscale image of `x_res x y_res`.
        
src/diffusers/pipelines/deprecated/audio_diffusion/mel.py