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DALL·E 2 can make realistic edits to existing images from a natural language caption. It can add and remove elements while taking shadows, reflections, and textures into account.
DALL·E is a simple decoder-only transformer that receives both the text and the image as a single stream of 1280 tokens—256 for the text and 1024 for the image—and models all of them autoregressively.
DALL·E 3 understands significantly more nuance and detail than our previous systems, allowing you to easily translate your ideas into exceptionally accurate images.
Experiment with DALL·E, an AI system by OpenAI
DALL·E 2: Extending creativity Illustration: Justin Jay Wang × DALL·E As part of our DALL·E 2 research preview, more than 3,000 artists from more than 118 countries have incorporated DALL·E into their creative workflows.
Last month, we started previewing DALL·E 2 to a limited number of trusted users to learn about the technology’s capabilities and limitations. Since then, we’ve been working with our users to actively incorporate the lessons we learn.
DALL·E, the AI system that creates realistic images and art from a description in natural language, is now available in beta. Today we’re beginning the process of inviting 1 million people from our waitlist over the coming weeks.
DALL·E is an AI system developed by OpenAI that can create original, realistic images and art from a short text description. It can make realistic and context-aware edits, including inserting, removing, or retouching specific sections of an image from a natural language description.
DALL·E joins GPT-3 (opens in a new window), Embeddings (opens in a new window), and Codex (opens in a new window) in our API platform, adding a new building block that developers can use to create novel experiences and applications. All API customers can use the DALL·E API today.
DALL·E ’s Edit feature already enables changes within a generated or uploaded image, a capability known as Inpainting. Now, with Outpainting, users can extend the original image, creating large-scale images in any aspect ratio.