Update app.py

app.py

@@ -60,43 +60,9 @@ pipe.load_lora_weights(
     weight_name="Lightx2v/lightx2v_I2V_14B_480p_cfg_step_distill_rank128_bf16.safetensors", 
     adapter_name="lightx2v_2", **kwargs_lora
 )
-
-# Загрузка LoRA High
-pipe.load_lora_weights(
-    "GiorgioV/LoRA_for_WAN_22", 
-    weight_name="W22_LoRA_High.safetensors", 
-    adapter_name="lora_high"
-)
-kwargs_lora_high = {"load_into_transformer_2": True}
-pipe.load_lora_weights(
-    "GiorgioV/LoRA_for_WAN_22", 
-    weight_name="W22_LoRA_High.safetensors", 
-    adapter_name="lora_high_2", 
-    **kwargs_lora_high
-)
-
-# Загрузка LoRA Low  
-pipe.load_lora_weights(
-    "GiorgioV/LoRA_for_WAN_22", 
-    weight_name="W22_LoRA_Low.safetensors", 
-    adapter_name="lora_low"
-)
-kwargs_lora_low = {"load_into_transformer_2": True}
-pipe.load_lora_weights(
-    "GiorgioV/LoRA_for_WAN_22", 
-    weight_name="W22_LoRA_Low.safetensors", 
-    adapter_name="lora_low_2", 
-    **kwargs_lora_low
-)
-
-pipe.set_adapters(["lightx2v", "lightx2v_2", "lora_high", "lora_high_2", "lora_low", "lora_low_2"], adapter_weights=[1., 1., 0.1, 0.1, 0.1, 0.1])
-pipe.fuse_lora(adapter_names=["lightx2v"], lora_scale=2.0, components=["transformer"])
-pipe.fuse_lora(adapter_names=["lora_high"], lora_scale=1.0, components=["transformer"])
-pipe.fuse_lora(adapter_names=["lora_low"], lora_scale=1.0, components=["transformer"])
-
-pipe.fuse_lora(adapter_names=["lightx2v_2"], lora_scale=1.0, components=["transformer_2"])
-pipe.fuse_lora(adapter_names=["lora_high_2"], lora_scale=0.7, components=["transformer_2"])
-pipe.fuse_lora(adapter_names=["lora_low_2"], lora_scale=0.7, components=["transformer_2"])
+pipe.set_adapters(["lightx2v", "lightx2v_2"], adapter_weights=[1., 1.])
+pipe.fuse_lora(adapter_names=["lightx2v"], lora_scale=3., components=["transformer"])
+pipe.fuse_lora(adapter_names=["lightx2v_2"], lora_scale=1., components=["transformer_2"])
 pipe.unload_lora_weights()
 
 quantize_(pipe.text_encoder, Int8WeightOnlyConfig())