imagegen

To generate and edit images using the OpenAI Image API, you use a guided workflow that supports single-image generation, prompt augmentation, and mask-based inpainting. It validates input formats and requires an OPENAI_API_KEY for live execution.

Yes, you can automate batch image generation by processing a JSONL file. The workflow includes concurrency controls and per-job output paths, allowing you to generate multiple images efficiently while managing optional downscaling outputs.

Yes, an OPENAI_API_KEY is required to perform mask-based image edits. The workflow enforces API key presence before making live calls to the OpenAI Image API to ensure secure and authorized image generation or modification.

The best way to validate image sizes and inputs for OpenAI image generation is through the bundled CLI. It validates inputs like size, quality, and background formats to ensure deterministic results and prevent errors during the API request.

Yes, the image generation workflow supports optional downscaling for downstream outputs. This allows you to generate high-resolution images via the OpenAI Image API and automatically create smaller, optimized versions for various applications.

Prompt augmentation matters for OpenAI Image API generation because it enhances your initial text inputs through a guided workflow. This structured approach helps produce more accurate and higher quality visual content from your prompts.