Update app.py

app.py

@@ -55,6 +55,16 @@ weight_path = hf_hub_download(
     revision=os.getenv("LTXV_REVISION", "8984fa25007f376c1a299016d0957a37a2f797bb")
 )
 
+pipeline = LTXConditionPipeline.from_pretrained(
+    "Lightricks/LTX-Video",
+    #revision=os.getenv("LTXV_REVISION", "8984fa25007f376c1a299016d0957a37a2f797bb"),  # exemplo: SHA atual do repo oficial
+    offload_state_dict=False,
+    torch_dtype=torch.bfloat16,
+    cache_dir=os.getenv("HF_HOME_CACHE"),
+    token=os.getenv("HF_TOKEN"),
+)
+
+
 # Carrega o state_dict e aplica no transformer já criado pelo model_index:
 state = safe_load(weight_path)
 pipeline.transformer.load_state_dict(state, strict=True)