Update app.py

app.py

@@ -13,7 +13,6 @@ mod.rgb_to_grayscale = F.rgb_to_grayscale
 sys.modules["torchvision.transforms.functional_tensor"] = mod
 # ---------------------------------------------------------------------------
 
-
 import os, subprocess, cv2, torch, spaces, gradio as gr, numpy as np
 from pathlib import Path
 from PIL import Image
@@ -185,12 +184,9 @@ except Exception as e:
 # 4. プロンプト & 生成関数
 ##############################################################################
 BASE_PROMPT = (
-    "(masterpiece:1.2), best quality, ultra-realistic, RAW photo, 8k,\n"
-    "photo of {subject},\n"
-    "cinematic lighting, golden hour, rim light, shallow depth of field,\n"
-    "textured skin, high detail, shot on Canon EOS R5, 85 mm f/1.4, ISO 200,\n"
-    "<lora:ip-adapter-faceid-plusv2_sd15_lora:0.65>, (face),\n"
-    "(aesthetic:1.1), (cinematic:0.8)"
+    "masterpiece, ultra-realistic photo of {subject}, "
+    "cinematic lighting, shallow depth of field, textured skin, "
+    "Canon EOS R5 85 mm f/1.4, <lora:ip-adapter-faceid-plusv2_sd15_lora:0.65>"
 )
 NEG_PROMPT = (
     "ng_deepnegative_v1_75t, CyberRealistic_Negative-neg, UnrealisticDream, "
@@ -272,4 +268,4 @@ with gr.Blocks() as demo:
     )
 
 print("launching …")
-demo.queue().launch(show_error=True)
+demo.queue().launch(show_error=True)