DALL·E 2 OpenAI's Text To Image converter

 DALL·E 2: A new AI system that can create realistic images and art from text

Have you ever wondered what an astronaut riding a horse in photorealistic style would look like? Or how about a bowl of soup playing basketball with cats in space? If you have, you're not alone. These are some of the examples of text descriptions that can be used to generate images using DALL·E 2, a new AI system from OpenAI that can create realistic images and art from natural language.

DALL·E 2 is an extension of DALL·E, which was introduced in January 2021 as 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, which was announced in July 2022, is a 3.5-billion parameter model that generates more realistic and accurate images with 4x greater resolution. DALL·E 2 can also perform outpainting, inpainting, and variations on existing images, as well as combine concepts, attributes, and styles in novel ways.

DALL·E 2 uses a process called “diffusion,” which starts with a pattern of random dots and gradually alters that pattern towards an image when it recognizes specific aspects of that image. It also leverages CLIP (Contrastive Language-Image Pre-training), a separate model based on zero-shot learning that was trained on 400 million pairs of images with text captions scraped from the Internet. CLIP helps DALL·E 2 match the text description to the generated image and evaluate its quality.

DALL·E 2 is not only a powerful tool for creating images and art, but also a way to explore how advanced AI systems see and understand our world. OpenAI hopes that DALL·E 2 will empower people to express themselves creatively and contribute to their mission of creating AI that benefits humanity.

However, DALL·E 2 also comes with some challenges and risks. For example, DALL·E 2 could potentially generate harmful or inappropriate images, such as violent, hate, or adult content. To prevent this, OpenAI has implemented several safety mitigations, such as removing the most explicit content from the training data, preventing photorealistic generations of real individuals’ faces, and filtering out text prompts and image uploads that may violate their content policy. OpenAI also has automated and human monitoring systems to guard against misuse.

Additionally, DALL·E 2 could raise ethical and social issues, such as plagiarism, copyright infringement, misinformation, or bias. To address these issues, OpenAI has adopted a phased deployment approach based on learning from real-world use. They began by previewing DALL·E 2 to a limited number of trusted users and slowly added more users as they learned more about the technology’s capabilities and limitations.

DALL·E 2 is currently available in beta for anyone who signs up on their website. You can also follow their Instagram account to see some of the amazing images that DALL·E 2 can create. If you want to learn more about the research behind DALL·E 2, you can read their paper or watch their video explanation.

DALL·E 2 is an impressive example of how AI can generate realistic images and art from text. It opens up new possibilities for creativity and expression, as well as new challenges and risks. As OpenAI states on their website: “We’re excited by what people will do with DALL·E 2—and we’re committed to ensuring it’s used responsibly.”