Revert changes to existing files by copying some code.

mlx_video/convert_wan.py

@@ -247,7 +247,7 @@ def _load_lora_configs(
     Shared between weight-merging and runtime-wrapping paths.
     """
     from mlx_video.lora import LoRAConfig, load_multiple_loras
-    from mlx_video.utils import Colors
+    from mlx_video.generate_wan import Colors
 
     print(f"\n{Colors.CYAN}Loading {len(lora_configs)} LoRA(s)...{Colors.RESET}")
 
@@ -280,7 +280,7 @@ def load_and_apply_loras(
     For non-quantized (bf16) models. For quantized models, use apply_loras_to_model().
     """
     from mlx_video.lora import apply_loras_to_weights
-    from mlx_video.utils import Colors
+    from mlx_video.generate_wan import Colors
 
     if not lora_configs:
         return model_weights

mlx_video/generate.py

@@ -9,7 +9,18 @@ import numpy as np
 from PIL import Image
 from tqdm import tqdm
 
-from mlx_video.utils import Colors
+class Colors:
+    """ANSI color codes for terminal output."""
+
+    CYAN = "\033[96m"
+    BLUE = "\033[94m"
+    GREEN = "\033[92m"
+    YELLOW = "\033[93m"
+    RED = "\033[91m"
+    MAGENTA = "\033[95m"
+    BOLD = "\033[1m"
+    DIM = "\033[2m"
+    RESET = "\033[0m"
 
 from mlx_video.models.ltx.config import LTXModelConfig, LTXModelType, LTXRopeType
 from mlx_video.models.ltx.ltx import LTXModel

mlx_video/generate_wan.py

@@ -22,8 +22,20 @@ from mlx_video.models.wan.loading import (
     load_vae_encoder,
     load_wan_model,
 )
-from mlx_video.postprocess import save_video
+from mlx_video.models.wan.postprocess import save_video
-from mlx_video.utils import Colors
+
+class Colors:
+    """ANSI color codes for terminal output."""
+
+    CYAN = "\033[96m"
+    BLUE = "\033[94m"
+    GREEN = "\033[92m"
+    YELLOW = "\033[93m"
+    RED = "\033[91m"
+    MAGENTA = "\033[95m"
+    BOLD = "\033[1m"
+    DIM = "\033[2m"
+    RESET = "\033[0m"
 
 # Backward-compat alias (tests and external code may use the old name)
 _build_i2v_mask = build_i2v_mask

mlx_video/models/wan/postprocess.py

@@ -0,0 +1,35 @@
+import numpy as np
+from pathlib import Path
+
+def save_video(frames: np.ndarray, output_path: str, fps: int = 16):
+    """Save video frames to MP4.
+
+    Args:
+        frames: Video frames [T, H, W, 3] uint8
+        output_path: Output file path
+        fps: Frames per second
+    """
+    try:
+        import imageio
+        writer = imageio.get_writer(output_path, fps=fps, codec="libx264", quality=8)
+        for frame in frames:
+            writer.append_data(frame)
+        writer.close()
+    except ImportError:
+        try:
+            import cv2
+            h, w = frames.shape[1], frames.shape[2]
+            fourcc = cv2.VideoWriter_fourcc(*"avc1")
+            writer = cv2.VideoWriter(output_path, fourcc, fps, (w, h))
+            for frame in frames:
+                writer.write(cv2.cvtColor(frame, cv2.COLOR_RGB2BGR))
+            writer.release()
+        except (ImportError, Exception):
+            # Last resort: save as individual PNGs
+            from PIL import Image
+            out_dir = Path(output_path).parent / Path(output_path).stem
+            out_dir.mkdir(parents=True, exist_ok=True)
+            for i, frame in enumerate(frames):
+                Image.fromarray(frame).save(out_dir / f"frame_{i:04d}.png")
+            print(f"  (no video encoder available, saved {len(frames)} frames to {out_dir}/)")
+

mlx_video/postprocess.py

@@ -1,42 +1,8 @@
 
 import numpy as np
-from pathlib import Path
 from typing import Optional
 
 
-def save_video(frames: np.ndarray, output_path: str, fps: int = 16):
-    """Save video frames to MP4.
-
-    Args:
-        frames: Video frames [T, H, W, 3] uint8
-        output_path: Output file path
-        fps: Frames per second
-    """
-    try:
-        import imageio
-        writer = imageio.get_writer(output_path, fps=fps, codec="libx264", quality=8)
-        for frame in frames:
-            writer.append_data(frame)
-        writer.close()
-    except ImportError:
-        try:
-            import cv2
-            h, w = frames.shape[1], frames.shape[2]
-            fourcc = cv2.VideoWriter_fourcc(*"avc1")
-            writer = cv2.VideoWriter(output_path, fourcc, fps, (w, h))
-            for frame in frames:
-                writer.write(cv2.cvtColor(frame, cv2.COLOR_RGB2BGR))
-            writer.release()
-        except (ImportError, Exception):
-            # Last resort: save as individual PNGs
-            from PIL import Image
-            out_dir = Path(output_path).parent / Path(output_path).stem
-            out_dir.mkdir(parents=True, exist_ok=True)
-            for i, frame in enumerate(frames):
-                Image.fromarray(frame).save(out_dir / f"frame_{i:04d}.png")
-            print(f"  (no video encoder available, saved {len(frames)} frames to {out_dir}/)")
-
-
 def bilateral_filter(image: np.ndarray, d: int = 5, sigma_color: float = 75, sigma_space: float = 75) -> np.ndarray:
     """Apply bilateral filter to reduce grid artifacts while preserving edges.
 

mlx_video/utils.py

@@ -9,20 +9,6 @@ from pathlib import Path
 from huggingface_hub import snapshot_download
 from PIL import Image
 
-
-class Colors:
-    """ANSI color codes for terminal output."""
-
-    CYAN = "\033[96m"
-    BLUE = "\033[94m"
-    GREEN = "\033[92m"
-    YELLOW = "\033[93m"
-    RED = "\033[91m"
-    MAGENTA = "\033[95m"
-    BOLD = "\033[1m"
-    DIM = "\033[2m"
-    RESET = "\033[0m"
-
 def get_model_path(model_repo: str):
     """Get or download LTX-2 model path."""
     try: