
Artificial image generation is one of the fastest-moving features in generative AI today. Developers and creators routinely ask the same practical question: “how long will ChatGPT take to get my image?” The simple answer is: it depends — on the model you use, the API or UI path, image size/quality, concurrent load at the provider, moderation and safety checks, and network/implementation choices. Below I unpack those variables, summarize what the major OpenAI image models typically deliver in (real-world) latency ranges, explain what causes slowdowns, show practical code patterns to manage latency.
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