diff --git a/__pycache__/__init__.cpython-312.pyc b/__pycache__/__init__.cpython-312.pyc
deleted file mode 100644
index bc51c7a..0000000
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diff --git a/__pycache__/loop.cpython-312.pyc b/__pycache__/loop.cpython-312.pyc
index cc73119..aa556aa 100644
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diff --git a/__pycache__/video.cpython-312.pyc b/__pycache__/video.cpython-312.pyc
index 28eaadd..3293874 100644
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diff --git a/__pycache__/vram_node.cpython-312.pyc b/__pycache__/vram_node.cpython-312.pyc
deleted file mode 100644
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diff --git a/image.py b/image.py
index 06db9dc..992ca49 100644
--- a/image.py
+++ b/image.py
@@ -129,8 +129,8 @@ class SessionImageSender:
                         break
 
                 if not found:
-                    print(f"   -> ⚠️ ALERTA: No se detectó rostro frontal en NINGÚN frame. Salvando el ciclo usando el frame 0 por defecto.")
-                    best_idx = 0
+                    print(f"   -> ⚠️ ALERTA: No se detectó rostro frontal en NINGÚN frame. Aceptando todo el lote para evitar bucles infinitos.")
+                    best_idx = batch_size - 1
             except Exception as e:
                 print(f"   -> ⚠️ Error en OpenCV al validar: {e}")
         else:
diff --git a/loop.py b/loop.py
index c13bf7c..230c74d 100644
--- a/loop.py
+++ b/loop.py
@@ -162,14 +162,16 @@ class AutoLoopCalculatorLTX:
                 print(f"   -> ⚖️ Sin caras detectadas. Forzando corte equitativo: {ideal_cut}")
 
         effective_chunk_frames = math.ceil((best_cut - current_pos) / select_every_nth)
-        # Forzar a 8n + 1
-        effective_chunk_frames = ((effective_chunk_frames - 1) // 8) * 8 + 1
+
+        # Redondear siempre hacia ARRIBA al (8n + 1) más cercano
+        effective_chunk_frames = ((effective_chunk_frames + 6) // 8) * 8 + 1
 
         if effective_chunk_frames < 9:
             effective_chunk_frames = 9 # Mínimo vital LTX
 
-        if current_pos + (effective_chunk_frames * select_every_nth) > safe_source_frame_count:
-            effective_chunk_frames = (safe_source_frame_count - current_pos) // select_every_nth
+        # ELIMINAMOS el recorte final que rompe la regla 8n + 1
+        if current_pos + (effective_chunk_frames * select_every_nth) >= safe_source_frame_count:
+            print(f"   -> 🏁 Chunk final LTX detectado. Ajustando a {effective_chunk_frames} frames para mantener regla 8n+1.")
 
         skip_frames = current_pos
 
diff --git a/video.py b/video.py
index 5a22473..07338ec 100644
--- a/video.py
+++ b/video.py
@@ -468,13 +468,18 @@ class AutoLoopCalculatorWan:
 
         # 4. Cálculo final del chunk consolidado
         effective_chunk_frames = math.ceil((best_cut - current_pos) / select_every_nth)
-        effective_chunk_frames = (effective_chunk_frames // 4) * 4
+
+        # Redondear siempre hacia ARRIBA al múltiplo de 4 más cercano para evitar chunks inválidos
+        effective_chunk_frames = ((effective_chunk_frames + 3) // 4) * 4
 
         if effective_chunk_frames < 4:
             effective_chunk_frames = 4
 
-        if current_pos + (effective_chunk_frames * select_every_nth) > safe_source_frame_count:
-            effective_chunk_frames = (safe_source_frame_count - current_pos) // select_every_nth
+        # ELIMINAMOS el recorte final que rompe el múltiplo de 4.
+        # Si pedimos más frames de los que quedan, VHS duplicará el último frame automáticamente,
+        # salvando así el renderizado sin crashear el 3D VAE.
+        if current_pos + (effective_chunk_frames * select_every_nth) >= safe_source_frame_count:
+            print(f"   -> 🏁 Chunk final detectado. Ajustando a {effective_chunk_frames} frames para mantener múltiplo de 4.")
 
         skip_frames = current_pos