Add dev infrastructure improvements

- Central config with logging on startup
- Hot reload support for GPU worker (docker-compose.gpu-dev.yml)
- Quick deploy script (scripts/gpu-dev-deploy.sh)
- GPU/CPU frame compatibility tests
- CI/CD pipeline for GPU worker (.gitea/workflows/gpu-worker.yml)
- Standardize GPU_PERSIST default to 0 across all modules

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

celery_app.py

@@ -6,17 +6,32 @@ Uses S-expression recipes with frame-by-frame processing.
 """
 
 import os
+import sys
 from celery import Celery
+from celery.signals import worker_ready
 
-REDIS_URL = os.environ.get('REDIS_URL', 'redis://localhost:6379/5')
+# Use central config
+sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
+from app.config import settings
 
 app = Celery(
     'art_celery',
-    broker=REDIS_URL,
-    backend=REDIS_URL,
+    broker=settings.redis_url,
+    backend=settings.redis_url,
     include=['tasks', 'tasks.streaming', 'tasks.ipfs_upload']
 )
 
+
+@worker_ready.connect
+def log_config_on_startup(sender, **kwargs):
+    """Log configuration when worker starts."""
+    print("=" * 60, file=sys.stderr)
+    print("WORKER STARTED - CONFIGURATION", file=sys.stderr)
+    print("=" * 60, file=sys.stderr)
+    settings.log_config()
+    print(f"Worker: {sender}", file=sys.stderr)
+    print("=" * 60, file=sys.stderr)
+
 app.conf.update(
     result_expires=86400 * 7,  # 7 days - allow time for recovery after restarts
     task_serializer='json',