Update app.py

app.py

@@ -136,15 +136,15 @@ automasker = AutoMasker(
 )
 
 
-# Flux-based CatVTON
-access_token = os.getenv("HUGGING_FACE_HUB_TOKEN")
-flux_repo = "black-forest-labs/FLUX.1-Fill-dev"
-pipeline_flux = FluxTryOnPipeline.from_pretrained(flux_repo, use_auth_token=access_token)
-pipeline_flux.load_lora_weights(
-    os.path.join(repo_path, "flux-lora"), 
-    weight_name='pytorch_lora_weights.safetensors'
-)
-pipeline_flux.to("cuda", init_weight_dtype(args.mixed_precision))
+# # Flux-based CatVTON
+# access_token = os.getenv("HUGGING_FACE_HUB_TOKEN")
+# flux_repo = "black-forest-labs/FLUX.1-Fill-dev"
+# pipeline_flux = FluxTryOnPipeline.from_pretrained(flux_repo, use_auth_token=access_token)
+# pipeline_flux.load_lora_weights(
+#     os.path.join(repo_path, "flux-lora"), 
+#     weight_name='pytorch_lora_weights.safetensors'
+# )
+# pipeline_flux.to("cuda", init_weight_dtype(args.mixed_precision))
 
 
 
@@ -369,7 +369,7 @@ def app_gradio():
                         show_type = gr.Radio(
                             label="Show Type",
                             choices=["result only", "input & result", "input & mask & result"],
-                            value="input & mask & result",
+                            value="result only",
                         )
 
                     # num_inference_steps = 50