Update LoRA path

app.py

@@ -17,7 +17,7 @@ torch_dtype = torch.float16 if torch.cuda.is_available() else torch.float32
 pipe = StableDiffusionPipeline.from_pretrained(model_repo_id, torch_dtype=torch.float16).to(device)
 pipe.scheduler = DDPMScheduler.from_pretrained(model_repo_id, subfolder="scheduler")
 
-folder_of_lora_weights = "./ID_Booth_LoRA_weights"
+folder_of_lora_weights = "./ID-Booth_LoRA_weights"
 which_checkpoint = "checkpoint-31-6400"
 lora_name = "pytorch_lora_weights.safetensors"