Practical solutions for controlling the cost of API usage
The Google Gemini API uses a per-volume billing model that allows for cost optimization through the following methods:
- Monitor usage quotas: Set up a daily budget alert in the backend of Google AI Studio (suggested initial setting of $5) via the
用量仪表盘View token consumption in real time. - Compressed image size: Crop the people and clothing images in advance to about 800×600 pixels, using the
Pillowlibrary executionimage.resize((800,600))Can reduce token consumption for API processing. - Local Cache Results: For similar clothing styles, you can reuse the previously generated fitting results (stored in the
results/folder), a new API request is triggered only when the clothing style changes. - Batch processing strategy: Focus on multiple clothing styles to be tried on and start the program processing at one time (no more than 5 groups at a time is recommended) to avoid frequent and sporadic calls to the API.
Emergency plan: If you unexpectedly incur high costs, immediately disable API privileges in the Google Cloud Platform console and pass theapi_key.txtfile is replaced with the new free credit key.
This answer comes from the articleAI-ClothingTryOn: Gemini-based Virtual Clothing Try-On ToolThe
May not be reproduced without permission:AI productivity tools " How to avoid excessive fees when using Google Gemini API?
