Update handler.py

handler.py

@@ -23,15 +23,15 @@ class EndpointHandler:
         ).to(device)
 
         self.pipe.load_lora_weights("SvenN/sdxl-emoji", weight_name="lora.safetensors")
-        self.pipe.fuse_lora()
+        self.pipe.fuse_lora(lora_scale=0.6)
 
         embedding_path = hf_hub_download(
             repo_id="SvenN/sdxl-emoji", filename="embeddings.pti", repo_type="model"
         )
         state_dict = load_file(embedding_path)
         
-        self.pipe.load_textual_inversion(state_dict["text_encoders_1"], token=["<s0>", "<s1>"], text_encoder=self.pipe.text_encoder, tokenizer=self.pipe.tokenizer)
-        self.pipe.load_textual_inversion(state_dict["text_encoders_0"], token=["<s0>", "<s1>"], text_encoder=self.pipe.text_encoder_2, tokenizer=self.pipe.tokenizer_2)
+        self.pipe.load_textual_inversion(state_dict["text_encoders_0"], token=["<s0>", "<s1>"], text_encoder=self.pipe.text_encoder, tokenizer=self.pipe.tokenizer)
+        self.pipe.load_textual_inversion(state_dict["text_encoders_1"], token=["<s0>", "<s1>"], text_encoder=self.pipe.text_encoder_2, tokenizer=self.pipe.tokenizer_2)
 
     def __call__(self, data: Any) -> List[List[Dict[str, float]]]:
         """