Batch processing can be done by following the steps below:
- Organization of documentation: Put all images to be processed into a unified directory (e.g. /imgs/batch_input/)
- Scripting: Core code example using Python to loop through directory files:
for img_file in os.listdir('imgs/batch_input'):
client.images.edit(image=open(f'imgs/batch_input/{img_file}','rb'),
prompt="Convert to van gogh style") - Results Saving: Add a number or prefix to each output file to avoid overwrites
- Resource Monitoring: When batch processing, pay attention to the API call frequency limit, it is recommended that no more than 5 requests per 10 seconds.
The project provides a batch_processing.py sample script that can be modified and used directly.
This answer comes from the articleGPT-Image-Edit: tool for editing and generating images using text commandsThe
May not be reproduced without permission:AI productivity tools " Efficient solution for fast batch image style conversion
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