🗂️ Batch Processing
For applications requiring the generation or modification of a large number of images, batch processing is an indispensable feature. Instead of making individual API calls for each image, you can send multiple requests in a single batch, significantly improving efficiency and reducing overhead.
While the specific implementation of batch processing might vary (e.g., sending an array of prompts, or a single request with a higher numSamples
for variations), the core idea is to optimize the workflow for high-volume operations. This is particularly useful for:
- Generating multiple variations of a single concept.
- Processing a list of images with the same transformation.
- Creating assets for large-scale projects (e.g., game development, e-commerce product images).
Consult the API documentation for the most efficient way to perform batch operations, as it may involve specific endpoints or parameters designed for this purpose.
Updated 27 days ago