When AI Says No: Rules on Photo Usage
Image generation in GPT-4o occurs through an autoregressive process. Each detail is created step by step, maintaining consistency between text and image. This approach produces aesthetically pleasing and contextually appropriate images.
Image generation in GPT-4o is based on intuitive principles. An autoregressive model creates images progressively, adding details one at a time. This process is similar to how we form sentences, word by word, based on context. The image is built gradually, just like when we interact with ChatGPT and see responses arrive sequentially.
GPT-4o is a versatile model capable of generating not only images but also text. Its ability to create images is an integral part of its functioning. When asked to draw a landscape, it uses its knowledge to represent elements like the sky, trees, and rivers coherently. This approach allows for the production of images that are not only aesthetically pleasing but also relevant to the context of the conversation.
The true strength of GPT-4o lies in the consistency between text and image. If asked to draw a dog playing with a frisbee, the model does not just draw a dog but also includes the frisbee, positioning them naturally. Each element of the image is in harmony with the text and with the parts already generated. This autoregressive process ensures that each part of the image is created in relation to what has been done previously.
In conclusion, image generation in GPT-4o is a step-by-step process. The native integration with the multimodal model allows for extraordinary consistency between text and image. The images are not only beautiful but also useful and appropriate to the context in which they are generated.
