Overlooking ChatGPT Image prompts

2 months ago

A stylish blonde woman with messy, windswept hair poses confidently on a rooftop in Paris, overlooking the cityscape with classic Haussmann-style buildings and narrow streets below. She wears an oversized, tailored gray checkered blazer left open to reveal her bare chest, exuding bold fashion and urban elegance. Her hand rests gently on her temple, gazing directly at the camera with a serene yet powerful expression. The lighting is soft and natural, overcast sky, creating a moody, cinematic atmosphere. High-fashion editorial style, modern and sophisticated, with a touch of rebellion. Detailed textures: fabric of the blazer, metal ventilation pipe she leans on, and the urban architecture in the background. Shot in high resolution, 8K, realistic photography.

2 months ago

A stylish blonde woman with messy, windswept hair poses confidently on a rooftop in Paris, overlooking the cityscape with classic Haussmann-style buildings and narrow streets below. She wears an oversized, tailored gray checkered blazer left open to reveal her bare chest, exuding bold fashion and urban elegance. Her hand rests gently on her temple, gazing directly at the camera with a serene yet powerful expression. The lighting is soft and natural, overcast sky, creating a moody, cinematic atmosphere. High-fashion editorial style, modern and sophisticated, with a touch of rebellion. Detailed textures: fabric of the blazer, metal ventilation pipe she leans on, and the urban architecture in the background. Shot in high resolution, 8K, realistic photography.

6 months ago

A wide image taken with a phone of a glass whiteboard, in a room overlooking the Bay Bridge. The field of view shows a woman writing, sporting a tshirt wiith a large OpenAI logo. The handwriting looks natural and a bit messy, and we see the photographer's reflection. The text reads: (left) "Transfer between Modalities: Suppose we directly model p(text, pixels, sound) [equation] with one big autoregressive transformer. Pros: * image generation augmented with vast world knowledge * next-level text rendering * native in-context learning * unified post-training stack Cons: * varying bit-rate across modalities * compute not adaptive" (Right) "Fixes: * model compressed representations * compose autoregressive prior with a powerful decoder" On the bottom right of the board, she draws a diagram: "tokens -> [transformer] -> [diffusion] -> pixels"