feat: update skins

gpt_image.py

@@ -58,7 +58,7 @@ def generate_image(s3_urls, prompt):
             "aspect_ratio": "1:1",
             "images": s3_urls,
             "n": 1,
-            "quality": "auto",
+            "quality": "high",
             "resolution": "1K",
             "response_format": "url",
             "size": "1024x1024"

gpt_skin2real.py

@@ -16,7 +16,7 @@ def main():
     parser = argparse.ArgumentParser(description="Render Minecraft skin to 3D views, upload to S3, and call img2img model.")
     parser.add_argument("skin", help="Path to local Minecraft skin image file.")
     parser.add_argument("-o", "--output", help="Output path for the generated image. Defaults to 'result_<timestamp>.png'.")
-    parser.add_argument("-p", "--prompt", default="生成ta的全身真人照片，再生成ta的背面放在图片右边", help="Prompt for the img2img model.")
+    parser.add_argument("-p", "--prompt", default="生成ta的全身真人照片，再生成ta的背面放在图片右边。请准确还原人物的特征细节，注意真人照片里面通常不包含像素风格的装饰。", help="Prompt for the img2img model.")
     parser.add_argument("-r", "--render-only", action="store_true", help="Only render the 3D front and back views locally, without calling the S3/img2img pipeline.")
     args = parser.parse_args()
 

gpt_skin2real_auto.py

@@ -22,6 +22,19 @@ def main():
 
     print(f"[*] Found {len(skin_files)} skin files in {skins_dir}.")
 
+    # 1. Pre-repair pass: check and convert all legacy 64x32 skins in the candidate directory
+    print("[*] Running pre-repair check on all skin files...")
+    for skin_file in skin_files:
+        skin_path = os.path.join(skins_dir, skin_file)
+        try:
+            with Image.open(skin_path) as img:
+                width, height = img.size
+                if (width, height) == (64, 32):
+                    print(f"[*] Pre-repair: Detected legacy 64x32 skin format for {skin_file}. Auto-converting to 64x64...")
+                    convert_skin_64x32_to_64x64(skin_path, skin_path)
+        except Exception as e:
+            print(f"[!] Pre-repair: Error checking skin size for {skin_file}: {e}")
+
     skipped = 0
     processed = 0
 
@@ -37,18 +50,14 @@ def main():
         print("="*60)
         print(f"[*] Processing: {skin_file}")
 
-        # Check skin size and auto-convert to 64x64 in-place if legacy format
+        # Verify skin size (should be 64x64 after pre-repair)
         try:
             with Image.open(skin_path) as img:
-                width, height = img.size
-                if (width, height) == (64, 32):
-                    print(f"[*] Detected legacy 64x32 skin format for {skin_file}. Auto-converting to 64x64...")
-                    convert_skin_64x32_to_64x64(skin_path, skin_path)
-                elif (width, height) != (64, 64):
+                if img.size != (64, 64):
                     print(f"[!] Warning: Skin '{skin_file}' has unexpected dimensions {img.size}. Skipping.")
                     continue
         except Exception as e:
-            print(f"[!] Error checking skin size: {e}")
+            print(f"[!] Error verifying skin size: {e}")
             continue
 
         # Invoke gpt_skin2real.py using subprocess