For high-frequency API call suggestions:
- Pre-processed images:Reduce transmission and processing load by compressing the source image to within 2000 x 2000 pixels
- Parameter standardization:Use the same pixel size/color palette for all requests to reduce server calculation variance
- Asynchronous processing:Receive results via callback_url instead of waiting synchronously to avoid timeouts
- Caching mechanism:Create a local cache of repetitive text descriptions (e.g. "green turtle enemy")
- Quota planning:Monitor API usage on the backend administration page and perform batch tasks during off-peak hours
Measurements have shown that the processing capacity can be increased from 5 to 20+ sheets per second with the above solution.
This answer comes from the articlePixel Art Generator: Free online tool to convert images or text to pixel artThe
May not be reproduced without permission:AI productivity tools " Optimize performance bottlenecks during batch generation of pixel art APIs
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