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5 de ene. de 2021 · We’ve trained a neural network called DALL·E that creates images from text captions for a wide range of concepts expressible in natural language. Illustration: Justin Jay Wang. DALL·E is a 12-billion parameter version of GPT-3 trained to generate images from text descriptions, using a dataset of text–image pairs.
DALL·E 2 can take an image and create different variations of it inspired by the original. Try DALL·E. In January 2021, OpenAI introduced DALL·E. One year later, our newest system, DALL·E 2, generates more realistic and accurate images with 4x greater resolution.
10 de jun. de 2022 · Tech & Innovation. PAINT BY NUMBERS. The best examples of DALL-E 2’s strange, beautiful AI art. A set of 10 AI-generated variations on a self-portrait by Salvador Dalí. Image: OpenAI...
5 de abr. de 2024 · In this article, I'll walk you through seven examples of real businesses using DALL·E in their day-to-day operations. From content to ideation to product design, you'll see the potential of AI-driven visual content—and hopefully, you'll come away with inspiration for using DALL·E in your own business. 1.
9 de feb. de 2024 · 40+ Best DALL E Prompts Guide with Examples in 2024. 1. Best DALL E Prompts for Logos. 2. Best DALL E Anime Prompts. 3. Best DALL E Cartoon Prompts. 4. Avatar DALL E Prompts. Using Dall E Prompts to Generate Various Image Styles. Is Dall-E Better Than Midjourney? Is DALL E AI Worth It? To Conclude. FAQs. Introduction.
Modern text-to-image systems have a tendency to ignore words or descriptions, forcing users to learn prompt engineering. DALL·E 3 represents a leap forward in our ability to generate images that exactly adhere to the text you provide.
Examples of Real-World Use Cases of DALL-E. Some real-world use cases of DALL-E that demonstrate its potential in various industries include: Education. For teaching abstract concepts, DALL-E could be a game-changer.
