Update Flux pipeline initialization to load on CPU and reflect device in log

app.py

@@ -20,9 +20,9 @@ from diffusers import FluxPipeline
 llm_client = Client("Qwen/Qwen2.5-72B-Instruct")
 
 device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
-pipe = FluxPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", torch_dtype=torch.bfloat16).to(device)
-print(f"Flux pipeline loaded on {device}")
-    
+pipe = FluxPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", torch_dtype=torch.bfloat16).to("cpu")
+print(f"Flux pipeline loaded on {pipe.device}")
+
 def generate_t2i_prompt(item_name):
     llm_prompt_template = """You are tasked with creating a concise yet highly detailed description of an item to be used for generating an image in a game development pipeline. The image should show the **entire item** with no parts cropped or hidden. The background should always be plain and monocolor, with no focus on it.