Update app.py

app.py

@@ -15,6 +15,10 @@ torch_dtype = torch.bfloat16 if torch.cuda.is_available() else torch.float32
 pipe = DiffusionPipeline.from_pretrained(model_repo_id, torch_dtype=torch_dtype)
 pipe = pipe.to(device)
 
+#pipe.load_lora_weights("prithivMLmods/SD3.5-Turbo-Realism-2.0-LoRA", weight_name="SD3.5-Turbo-Realism-2.0-LoRA.safetensors")
+#trigger_word = "Turbo Realism"  
+#pipe.fuse_lora(lora_scale=1.0)
+
 # Constants
 MAX_SEED = np.iinfo(np.int32).max
 MAX_IMAGE_SIZE = 1024