add requirements

model.py

@@ -59,7 +59,7 @@ class Model:
                                 map_location="cpu")
         vq_model.load_state_dict(checkpoint["model"])
         del checkpoint
-        print(f"image tokenizer is loaded")
+        print("image tokenizer is loaded")
         return vq_model
 
     def load_gpt(self, condition_type='canny'):
@@ -76,14 +76,14 @@ class Model:
         model_weight = load_file(gpt_ckpt)
         gpt_model.load_state_dict(model_weight, strict=False)
         gpt_model.eval()
-        print(f"gpt model is loaded")
+        print("gpt model is loaded")
         return gpt_model
 
     def load_t5(self):
         precision = torch.bfloat16
         t5_model = T5Embedder(
             device=self.device,
-            local_cache=True,
+            local_cache=False,
             cache_dir='checkpoints/flan-t5-xl',
             dir_or_name='flan-t5-xl',
             torch_dtype=precision,