Update app.py

app.py

@@ -16,8 +16,8 @@ pipe = DiffusionPipeline.from_pretrained(base_model, torch_dtype=dtype, vae=taef
 MAX_SEED = 2**32-1
 
 # Hidden variables (you would set these based on your specific LoRA)
-LORA_PATH = "path/to/your/lora"
-TRIGGER_WORD = "your_trigger_word"
+LORA_PATH = "SebastianBodza/Flux_Aquarell_Watercolor_v2"
+TRIGGER_WORD = "AQUACOLTOK"
 
 # Load LoRA weights (do this once at startup)
 pipe.load_lora_weights(LORA_PATH)