Update api/ltx_server.py

api/ltx_server.py

@@ -23,7 +23,7 @@ import traceback
 
 # Singletons do projeto para VAE e Encoder
 from tools.video_encode_tool import video_encode_tool_singleton
-from api.ltx.vae_manager import vae_manager_singleton
+from manager.vae_manager import vae_manager_singleton
 
 # --- 2. GERENCIAMENTO DE DEPENDÊNCIAS E SETUP ---
 def _query_gpu_processes_via_nvml(device_index: int) -> List[Dict]:
@@ -113,6 +113,18 @@ if not LTX_VIDEO_REPO_DIR.exists():
     print(f"[DEBUG] Repositório não encontrado em {LTX_VIDEO_REPO_DIR}. Rodando setup...")
     run_setup()
 
+
+from api.ltx.inference import (
+    create_ltx_video_pipeline,
+    create_latent_upsampler,
+    load_image_to_tensor_with_resize_and_crop,
+    seed_everething,
+    calculate_padding,
+    load_media_file,
+)
+
+    
+
 def add_deps_to_path():
     repo_path = str(LTX_VIDEO_REPO_DIR.resolve())
     if str(LTX_VIDEO_REPO_DIR.resolve()) not in sys.path:
@@ -122,14 +134,6 @@ def add_deps_to_path():
 add_deps_to_path()
 
 # --- 3. IMPORTAÇÕES ESPECÍFICAS DO MODELO ---
-from .api.ltx.inference import (
-    create_ltx_video_pipeline,
-    create_latent_upsampler,
-    load_image_to_tensor_with_resize_and_crop,
-    seed_everething,
-    calculate_padding,
-    load_media_file,
-)
 from ltx_video.pipelines.pipeline_ltx_video import ConditioningItem, LTXMultiScalePipeline
 from ltx_video.utils.skip_layer_strategy import SkipLayerStrategy