Update t2i_client initialization to use the merged model and reduce inference steps

app.py

@@ -17,7 +17,7 @@ from trellis.utils import render_utils, postprocessing_utils
 from gradio_client import Client
 
 llm_client = Client("Qwen/Qwen2.5-72B-Instruct")
-t2i_client = Client("black-forest-labs/FLUX.1-schnell")
+t2i_client = Client("multimodalart/FLUX.1-merged")
 
 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.  
@@ -72,7 +72,7 @@ def generate_item_image(object_t2i_prompt):
 		width=1024,
 		height=1024,
 		guidance_scale=3.5,
-		num_inference_steps=28,
+		num_inference_steps=8,
 		api_name="/infer"
     )[0]
     image = Image.open(img_path)