Update api/ltx_server.py

api/ltx_server.py

@@ -594,7 +594,6 @@ class VideoService:
                     "stg_scale": first_pass_args.get("stg_scale"),
                     "rescaling_scale": first_pass_args.get("rescaling_scale"),
                     "skip_block_list": first_pass_args.get("skip_block_list"),
-                    "output_type": "latent",
                 })
                 schedule = first_pass_args.get("timesteps") or first_pass_args.get("guidance_timesteps")
                 if schedule:
@@ -625,10 +624,10 @@ class VideoService:
                 t_p1 = time.perf_counter()
                 ctx = torch.autocast(device_type="cuda", dtype=self.runtime_autocast_dtype) if self.device == "cuda" else contextlib.nullcontext()
                 with ctx:
-                    first_pass_result = self.pipeline(**first_pass_kwargs)
+                    first_pass_result = self.pipeline(**first_pass_kwargs, "output_type": "latent")
                     
                 latents_low_res = first_pass_result.latents if hasattr(first_pass_result, "latents") else first_pass_result
-                print(f"[DEBUG] Passo 1 concluído. Shape dos latentes de baixa resolução: {latents_low_res}")
+                print(f"[DEBUG] Passo 1 concluído. Shape dos latentes de baixa resolução: {latents_low_res.shape}")
                 log_tensor_info(latents_low_res, "Latentes (Passo 1)")
                 
                 del first_pass_result, first_pass_kwargs