Remove duplicate mask_util file

Looks like an inadvertent copy of mflux/flux_tools/fill/mask_util.py

src/mflux/post_processing/mask_util.py

@@ -1,54 +0,0 @@
-import mlx.core as mx
-
-from mflux.config.runtime_config import RuntimeConfig
-from mflux.models.vae.vae import VAE
-from mflux.post_processing.array_util import ArrayUtil
-
-
-class MaskUtil:
-    @staticmethod
-    def create_masked_latents(
-        vae: VAE,
-        config: RuntimeConfig,
-        latents: mx.array,
-        img_path: str,
-        mask_path: str | None
-    ) -> mx.array:  # fmt: off
-        from mflux import ImageUtil
-
-        # 1. Get the reference image
-        scaled_image = ImageUtil.scale_to_dimensions(
-            image=ImageUtil.load_image(config.image_path).convert("RGB"),
-            target_width=config.width,
-            target_height=config.height,
-        )
-        image = ImageUtil.to_array(scaled_image)
-
-        # 2. Get the mask
-        scaled = ImageUtil.scale_to_dimensions(
-            image=ImageUtil.load_image(mask_path).convert("RGB"),
-            target_width=config.width,
-            target_height=config.height,
-        )
-        the_mask = ImageUtil.to_array(scaled, is_mask=True)
-
-        # 3. Create and pack the masked image
-        masked_image = image * (1 - the_mask)
-        masked_image = vae.encode(masked_image)
-        masked_image = ArrayUtil.pack_latents(latents=masked_image, height=config.height, width=config.width)
-
-        # 4. Resize mask and pack latents
-        mask = MaskUtil._reshape_mask(the_mask=the_mask, height=config.height, width=config.width)
-        mask = ArrayUtil.pack_latents(latents=mask, height=config.height, width=config.width, num_channels_latents=64)
-
-        # 5. Concat the masked_image and the mask
-        masked_image_latents = mx.concatenate([masked_image, mask], axis=-1)
-        return masked_image_latents
-
-    @staticmethod
-    def _reshape_mask(the_mask: mx.array, height: int, width: int):
-        mask = the_mask[:, 0, :, :]
-        mask = mx.reshape(mask, (1, height // 8, 8, width // 8, 8))
-        mask = mx.transpose(mask, (0, 2, 4, 1, 3))
-        mask = mx.reshape(mask, (1, 64, height // 8, width // 8))
-        return mask