Update app.py

app.py

@@ -68,7 +68,7 @@ def run_ltx_refinement(state, prompt, neg_prompt, cfg, progress=gr.Progress(trac
     
     try:
         # AQUI ESTÁ A MUDANÇA: Chamamos a nova função ponte
-        video_path, tensor_path = video_generation_service.low_res_latents_path(
+        video_path, tensor_path = video_generation_service.apply_secondary_refinement(
             latents_path=state["low_res_latents"],
             prompt=prompt,
             negative_prompt=neg_prompt,
@@ -89,25 +89,6 @@ def run_ltx_refinement(state, prompt, neg_prompt, cfg, progress=gr.Progress(trac
         # Ex: return None, state
         raise gr.Error(f"Falha no Refinamento: {e}")
 
-
-def run_ltx_refinemen1t(state, prompt, neg_prompt, cfg, progress=gr.Progress(track_tqdm=True)):
-    """Executa o processo de refinamento e upscaling de textura com o pipeline LTX."""
-    print("UI: Chamando run_ltx_refinement (generate_upscale_denoise)")
-    
-    if True:
-        video_path, tensor_path = video_generation_service.generate_upscale_denoise(
-            latents_path=state["low_res_latents"],
-            prompt=prompt,
-            negative_prompt=neg_prompt,
-            guidance_scale=cfg,
-            seed=state["used_seed"]
-        )
-        
-        # Atualiza o estado com os novos artefatos refinados
-        state["refined_video_ltx"] = video_path
-        state["refined_latents_ltx"] = tensor_path
-        
-        return video_path, state
     
 def run_seedvr_upscaling(state, seed, resolution, batch_size, fps, progress=gr.Progress(track_tqdm=True)):
     """Executa o processo de upscaling com SeedVR."""