Well, OpenAI recently launched its new and improved image generation feature and opened it up to developers via an API. This decision follows the popular introduction of the tool for ChatGPT users in late March. Its immediate strike of interest was the capability to synthesize impressive imagery following a Ghibli-like aesthetic. In fact, within only the first week of its release, ChatGPT gained more than 130 million users. Those users alone created over 700 million images, demonstrating the tool’s explosive adoption.
This new API simplifies the process for developers to knit the image generation power into their own applications and services. OpenAI has released a tiered pricing model for their API usage. They bring in $5 million for every billion input tokens of text and $10 million for every billion input tokens of images. Additionally, the company charges $40 per million output tokens when generating images, making it clear that this technology comes with associated costs.
Developers and businesses interested in incorporating the image generation functionality into their applications should pay attention to OpenAI’s pricing. At an average production cost of roughly 2 cents per low-res square image. Medium-quality images will go for an average of about 7 cents apiece, and high-quality images can go as high as around 19 cents. This new pricing structure is designed to keep the service affordable and accessible while recognizing the cutting-edge technology that powers it.
In addition to those, as explained on OpenAI’s blog, they’ve taken steps to secure their technology to prevent reprehensible use. Each image created using the gpt-image-1 model includes a watermark that embeds C2PA metadata into the image. This metadata allows supported platforms and applications to check for and flag images as being AI-generated. This encourages transparency in digital content development.
The demand for OpenAI’s new image generator has jammed their system, driving millions of new ChatGPT signups. This unprecedented spike in usage has pushed the company to its breaking point. It provides a glimpse into the challenges that tech firms face when growing quickly. OpenAI is trying to scale its infrastructure to keep up with this growing demand and service it reliably and efficiently.
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