Update deformes4D_engine.py

deformes4D_engine.py

@@ -249,53 +249,25 @@ class Deformes4DEngine:
 
 
         # Pós-produção: Upscale + Refine
-        high_quality_video_path = self._render_and_post_process(
-            final_concatenated_latents,
-            base_name=base_name,
-            expected_height=720,
-            expected_width=720,
-            fps=24
-        )
+        #high_quality_video_path = self._render_and_post_process(
+        #    final_concatenated_latents,
+        #    base_name=base_name,
+        #    expected_height=720,
+        #    expected_width=720,
+        #    fps=24
+        #)
 
         
-        #progress((num_transitions_to_generate + 1.5) / (num_transitions_to_generate + 2), desc="Gerando paisagem sonora...")
-        #video_with_audio_path = self._generate_video_and_audio(
-        #    silent_video_path=silent_video_path,
-        #    audio_prompt=global_prompt,
-        #    base_name=base_name
-        #)
+        progress((num_transitions_to_generate + 1.5) / (num_transitions_to_generate + 2), desc="Gerando paisagem sonora...")
+        video_with_audio_path = self._generate_video_and_audio(
+            silent_video_path=silent_video_path,
+            audio_prompt=global_prompt,
+            base_name=base_name
+        )
         
         yield {"final_path": high_quality_video_path}
 
 
-    def _render_and_post_process(self, final_concatenated_latents: torch.Tensor, 
-                             base_name: str, expected_height: int, expected_width: int, fps: int = 24) -> str:
-        logger.info("Iniciando pós-processamento: upscale + refinamento...")
-
-        # --- 1. Upscale ---
-        upscaled_latents = upscaler_specialist_singleton.upscale(final_concatenated_latents)
-        logger.info(f"Upscale concluído: shape {list(upscaled_latents.shape)}")
-
-        # --- 2. Refinamento ---
-        _, _, _, h, w = upscaled_latents.shape
-        refined_latents, _ = ltx_manager_singleton.refine_latents(
-            upscaled_latents,
-            height=h,
-            width=w,
-            denoise_strength=0.35,   # levemente menor pra preservar nitidez
-            refine_steps=12          # mais iterações pra polir detalhes
-        )
-        logger.info("Refinamento concluído.")
-
-        # --- 3. Decodificação ---
-        pixel_tensor = self.latents_to_pixels(refined_latents)
-
-        # --- 4. Render final ---
-        video_path = os.path.join(self.workspace_dir, f"{base_name}_HQ.mp4")
-        self.save_video_from_tensor(pixel_tensor, video_path, fps=fps)
-        logger.info(f"Vídeo final salvo em: {video_path}")
-
-        return video_path