Batch Processing & Automation

Stop processing prompts one by one. Automate your workflow and generate hundreds of images efficiently with intelligent batch processing.

Basic Batch Processing

Process multiple prompts concurrently to maximize throughput.

Copy this prompt:

import concurrent.futures def batch_generate(prompts, max_workers=5): with concurrent.futures.ThreadPoolExecutor(max_workers=max_workers) as executor: futures = [executor.submit(glm_client.generate, prompt) for prompt in prompts] return [future.result() for future in concurrent.futures.as_completed(futures)] # Process 100 prompts image_urls = batch_generate(all_prompts)

Related Guides

• Python API Integration - Foundation for building automation scripts
• Workflow Optimization - Advanced techniques for scaling your pipeline