Update app.py

app.py

@@ -55,31 +55,31 @@ pipe = WanPipeline.from_pretrained(MODEL_ID,
 
 # ## TEST LORA
 
-pipe.load_lora_weights(
-    "wangkanai/wan22-fp8-loras-nsfw",
-    weight_name="loras/wan/wan22-action-doggystyle-t2v-14b-high.safetensors",
-    adapter_name="high_noise_lora",
-    token=os.environ.get("HF_TOKEN")
-)
-# 新增：加载你提供的low noise LoRA
-pipe.load_lora_weights(
-    "wangkanai/wan22-fp8-loras-nsfw",
-    weight_name="loras/wan/wan22-action-doggystyle-t2v-14b-low.safetensors",
-    adapter_name="low_noise_lora",
-    token=os.environ.get("HF_TOKEN"),
-    load_into_transformer_2=True
-)
-
-
-
-pipe.set_adapters(["high_noise_lora", "low_noise_lora"], adapter_weights=[ 1., 1.])
-# 修改了lora_scale
-pipe.fuse_lora(adapter_names=["high_noise_lora"], lora_scales=[3.0], components=["transformer"])
-# 修改了lora_scale
-pipe.fuse_lora(adapter_names=["low_noise_lora"], lora_scales=[1.0], components=["transformer_2"])
-pipe.unload_lora_weights()
-# ##
-# ## TEST LORA ENDS
+# pipe.load_lora_weights(
+#     "wangkanai/wan22-fp8-loras-nsfw",
+#     weight_name="loras/wan/wan22-action-doggystyle-t2v-14b-high.safetensors",
+#     adapter_name="high_noise_lora",
+#     token=os.environ.get("HF_TOKEN")
+# )
+# # 新增：加载你提供的low noise LoRA
+# pipe.load_lora_weights(
+#     "wangkanai/wan22-fp8-loras-nsfw",
+#     weight_name="loras/wan/wan22-action-doggystyle-t2v-14b-low.safetensors",
+#     adapter_name="low_noise_lora",
+#     token=os.environ.get("HF_TOKEN"),
+#     load_into_transformer_2=True
+# )
+
+
+
+# pipe.set_adapters(["high_noise_lora", "low_noise_lora"], adapter_weights=[ 1., 1.])
+# # 修改了lora_scale
+# pipe.fuse_lora(adapter_names=["high_noise_lora"], lora_scales=[3.0], components=["transformer"])
+# # 修改了lora_scale
+# pipe.fuse_lora(adapter_names=["low_noise_lora"], lora_scales=[1.0], components=["transformer_2"])
+# pipe.unload_lora_weights()
+# # ##
+# # ## TEST LORA ENDS