working L4 GPU with 8 core CPU 32G memory

server_with_s3.py

@@ -83,9 +83,11 @@ output_dir = "/root/comfy/ComfyUI/output"
     concurrency_limit=50,
     container_idle_timeout=120,
     # 5 minute container keep alive after it processes an input; increasing this value is a great way to reduce ComfyUI cold start times
-    timeout=600,
+    timeout=900,
     gpu="L4",
-    memory=(32768, 32768),
+    cpu=8,
+    # memory=(32768, 32768), # (内存预留量, 内存使用上限)
+    memory=32768,
     secrets=[secret],
     volumes={
         "/root/comfy/ComfyUI/models": vol,
@@ -126,8 +128,7 @@ class ComfyUI:
                         node["inputs"]["default_value"] = node["inputs"]["default_value"].replace("input_s3", "input")
         with open(f"/root/{session_id}.json", "w", encoding="utf-8") as f:
             f.write(json.dumps(workflow, ensure_ascii=False))
-        cmd = f"comfy run --workflow /root/{session_id}.json --wait --timeout 600 --verbose"
-        # TODO 接收返回值
+        cmd = f"comfy run --workflow /root/{session_id}.json --wait --timeout 900 --verbose"
         subprocess.run(cmd, shell=True, check=True)
 
         # looks up the name of the output image file based on the workflow