An Artificial Intelligence Tool from OpenAI, Capable of Creating Images with the Magical Aesthetic of Studio Ghibli, Has Become a Phenomenon. Its Success Was So Great That Demand Is Pushing the Company’s GPU Processing Capacity to the Max, Revealing the Impact of AI-Powered Digital Creativity.
The launch of a new image generation tool by OpenAI has sparked frenzy on the internet. Inspired by the visual style of Studio Ghibli films, the feature has captivated millions of users within hours.
But success came at a price: the company’s servers began to struggle to keep up with the demand. GPUs operating at capacity, temporary usage limits, and waiting queues have become part of the scenario.
All due to the craze for AI images with a “look” of Japanese animation.
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An Explosion of Digital Creativity in the Ghibli Style
The novelty was fueled by GPT-4o, an advanced model from OpenAI, capable of generating images with a surprising level of detail.
The main attraction? The resemblance to the works of Studio Ghibli, creator of classics like Spirited Away and My Neighbor Totoro.
Users quickly began transforming historical events, pop culture characters, and even personal portraits into this artistic style.
The aesthetic is striking: soft colors, delicate strokes, lush landscapes, and expressive characters.
The AI has managed to capture these elements with such precision that many users reported feeling emotional about the results. The blend of nostalgia and novelty helped boost global interest.
One Million New Users Per Hour
The impact was almost immediate. Within hours, ChatGPT registered unprecedented growth.
According to Sam Altman, CEO of OpenAI, the platform gained one million users in just one hour.
The comparison to the launch of ChatGPT itself — which took five days to reach the same number — highlighted the magnitude of the new wave.
The feature to turn photos into Ghibli-style art spread across social media. Celebrities, influencers, and even brands began sharing their creations. The viral effect further fueled demand and increased pressure on OpenAI’s infrastructure.
GPUs at Capacity
The phrase uttered by Altman — that the company’s GPUs were “melting” — became a joke among users, but there is some truth to it. GPUs, or Graphics Processing Units, are key components for processing AI-generated images.
They perform billions of calculations per second and are optimized for parallel tasks, making them ideal for models like GPT-4o.
However, generating an image in the Ghibli style is not a simple task. The AI needs to analyze text commands, apply complex artistic techniques, and render all visual details.
It’s a demanding process. When millions of users do this simultaneously, the servers quickly reach their limits.
OpenAI began facing longer wait times and had to implement measures to curb the overload.
Temporary Limits to Maintain Stability
To ease the pressure on its systems, the company announced changes to tool access. Free users can now generate only three images per day. This measure upset some, but it was deemed necessary to maintain the overall stability of the platform.
OpenAI reported that it is working to expand its infrastructure and improve system performance.
According to the company, the current limitations are temporary and are part of an adjustment process in light of unexpected growth.
GPT-4o Advances Impress
Despite the challenges, GPT-4o has demonstrated significant advances. Image generation is just one of its highlights.
The model also offers improvements in recognizing text embedded in images and greater precision in creating visual details. This makes the experience richer for those seeking high-level artistic results with simple commands.
Experts point out that the success of the tool reflects a growing trend: the use of artificial intelligence as a medium for artistic expression.
More and more, everyday people can create sophisticated images without needing to master traditional drawing or painting techniques. The AI does the heavy lifting — and, in this case, charming.
For now, AI-generated Ghibli art remains in high demand. Even with the restrictions, users continue to seek ways to experiment with the feature. The expectation is that, with new updates and infrastructure reinforcements, image generation will resume flowing more quickly.

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