For the case of too many nodes, theModular Optimization Solution::
- Sub-workflow encapsulation: Save completed function groups (e.g., "Line Drawing → Coloring → Finishing") as stand-alone modules.
- Clearing the cache: Periodic clearing of historically generated data in account settings
- hardware acceleration: Use Chrome with GPU acceleration turned on
- cloud executable: Triage compute pressure by checking the "Cloud Rendering" option for heavy tasks.
- Resource Monitoring: Real-time view of CPU/Memory usage in the lower right corner of the interface
For users in educational institutions, it is recommended to split large projects into multiple classroom tasks. The Professional (Plus) version of the platform supportsOffline Render QueueFunctionality to book low peak hours to handle complex processes.
This answer comes from the articlePhygital+: Integrating Multiple AI Idea Generation Tools in the CanvasThe
May not be reproduced without permission:AI productivity tools " How to solve the interface lag problem caused by complex workflow?
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