Update app.py

app.py

@@ -75,21 +75,21 @@ model_repo = "tensorart/stable-diffusion-3.5-large-TurboX"
 # Florence-2 로드
 device = "cuda" if torch.cuda.is_available() else "cpu"
 scheduler = EulerDiscreteScheduler.from_pretrained(
-    model_id,
+    model_repo,
     subfolder="scheduler",
     torch_dtype=torch.float16,
 )
 text_encoder      = CLIPTextModel.from_pretrained(
-    model_id, subfolder="text_encoder_1", torch_dtype=torch.float16
+    model_repo, subfolder="text_encoder_1", torch_dtype=torch.float16
 )
 tokenizer         = CLIPTokenizer.from_pretrained(
-    model_id, subfolder="tokenizer_1"
+    model_repo, subfolder="tokenizer_1"
 )
 feature_extractor = CLIPFeatureExtractor.from_pretrained(
     model_repo, subfolder="feature_extractor"
 )
 unet = UNet2DConditionModel.from_pretrained(
-    model_id, subfolder="unet", torch_dtype=torch.float16
+    model_repo, subfolder="unet", torch_dtype=torch.float16
 )
 florence_model = AutoModelForCausalLM.from_pretrained(LOCAL_FLORENCE, trust_remote_code=True, torch_dtype=torch.float16)
 florence_model.to("cpu")