showing not only the model ChatGPT Image prompts

5 months ago

An elegant full-length portrait of a confident model with features characteristic of Down Syndrome, gracefully posing in a wonderful, high-fashion evening gown. The setting is a glamorous fashion show runway or a sophisticated photoshoot backdrop. The model exudes poise and beauty. The lighting is flattering, highlighting the beautiful details of the gown and the model's confident expression. Focus on a respectful and empowering representation

2 months ago

{ "subject": { "type": "1/7 scale action figure", "character": "Chun-Li (Street Fighter Alpha)", "pose": "dynamic, combat-inspired" }, "appearance": { "outfit": { "main": "sleeveless navy-blue combat suit", "vest": "sky-blue, sleeveless, golden trim, open chest", "leggings": "blue with yellow stripes on sides", "footwear": "sky-blue sneakers with yellow details" }, "hair": { "style": "double buns", "accessories": "yellow ribbons" }, "accessories": ["spiked bracelets"] }, "environment": { "surface": "modern computer desk", "base": "circular, clear acrylic base, no text or logos", "monitor": { "display": "ZBrush software", "content": "3D model of same figure, wireframe + clay render" }, "background": { "box": { "type": "Bandai-style window packaging", "features": "vinyl see-through window, pristine condition, high-quality artwork print", "orientation": "angled to show 3D form" } } }, "aesthetic": { "style": "hyper-detailed, photorealistic", "mood": "collector’s workspace", "lighting": "indoor professional display lighting", "effects": ["depth of field", "high realism", "beautiful atmosphere"] } }

5 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"