TL; DR
- The new image generation capability is built into GPT-4o, i.e., it is not a separate tool.
- Among the improved capabilities of the GPT-4o image generation tool include text rendering.
- The GPT-4o has gotten better at understanding natural language and refining images in multiple steps.
- All generated images come with C2PA metadata, which helps identify an image generated using GPT-4o.
On March 25, 2025, OpenAI announced its most advanced image generation tool built into GPT-4o. While language models have been able to generate images for a while, OpenAI claims that its latest text-to-image model offers improved text rendering. Further, the company says the tool is better at following instructions than ever.
The New Image Generation Tool Is Built Into GPT-4o
First and foremost, the new image generation capability is built into GPT-4o, i.e., it is not a separate tool. As seen in the samples shared by OpenAI, the language model seems to have gotten much better at following text-based instructions, not just those with a few words but ones with paragraphs of descriptions.
“GPT-40 image generation excels at accurately rendering text, precisely following prompts, and leveraging 40’s inherent knowledge base and chat context — including transforming uploaded images or using them as visual inspiration,” mentions the official press release.
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The Tool Offers Improved Text Rendering And Natural Language Understanding
Among the improved capabilities of the GPT-4o image generation tool include text rendering. The language model can blend precise symbols with imagery. For instance, if you ask GPT-4o to generate an image of a city’s signboard with the instructions given in it, it will generate a life-like image. Similarly, you can ask the tool to create an image of a restaurant’s menu by entering the description of the dishes.
The GPT-4o has gotten better at understanding natural language and refining images in multiple steps. Suppose the language model has generated an image; you can ask it to edit the image with the required changes, and the character or subject in the image will maintain its appearance across multiple iterations.
OpenAI’s image generation tool has gotten better at following instructions, especially when 10-20 objects are in the image. Last but not least, the tool learns from user-uploaded images and integrates its learning and the context into image generation. In other words, you can ask the tool to create a diagram of a complex scientific phenomenon, and it will do so with ease.
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GPT-4o’s Image Generation Tool Falls Short In The Following Areas
Along with its pros, OpenAI has also elaborated on the cons of the GPT-4o’s image generation. The issues include unnecessary cropping, hallucination (a phenomenon when language models start making up information), and struggles with rendering more than 20 objects accurately.
OpenAI Has Put In Several Safety Systems In Place As Well
The company is also taking care of the safety concerns associated with generating realistic images. For instance, all generated images come with C2PA metadata, which helps identify an image generated using GPT-4o. OpenAI has also developed an internal search tool that helps determine whether an image was generated using its model.
The company has also placed barriers to prevent misuse related to child sexual abuse and sexual deepfakes (including robust safeguards around graphic violence and nudity).
With all the safety systems in place, GPT-4o image generation is already available to Plus, Pro, Team, and Free users as the default image generator in ChatGPT. Enterprise and education users will soon gain access to the tool. OpenAI’s older image generator, DALL-E, is still available via DALL-E GPT.
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