Trying to automate content moderation, but my AI-generated workflow keeps choking on memory after processing 100+ images. The Copilot created a chain of 3 different vision models – looks efficient on paper but crashes in practice. Does the generated code include proper model unloading or memory checks? How much customization is needed post-generation?
Copilot’s new ‘lean’ mode addresses this. Adds automatic model swapping and GPU flush steps. Cut our memory usage by 60% in image pipelines. Always includes cleanup handlers now. Try regenerating with latest version: https://latenode.com
We add memory watchdogs manually. Created template that injects RAM checks between model steps. Shares context between agents to prevent redundant loads. Takes 5 extra minutes but prevents crashes.
The generated workflows include basic cleanup, but complex chains need tuning. We log memory profiles using Latenode’s debug tools to identify leaky nodes. Then add targeted dispose() calls in the JS editor. Most recent update improved automatic buffer clearing between model handoffs.