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2. DALL-E - Wikipedia

   en.wikipedia.org/wiki/DALL-E

   DALL-E, DALL-E 2, and DALL-E 3 (stylised DALL·E, and pronounced DOLL-E) are text-to-image models developed by OpenAI using deep learning methodologies to generate digital images from natural language descriptions known as prompts. The first version of DALL-E was announced in January 2021. In the following year, its successor DALL-E 2 was released.

3. Text-to-image model - Wikipedia

   en.wikipedia.org/wiki/Text-to-image_model

   An image conditioned on the prompt an astronaut riding a horse, by Hiroshige, generated by Stable Diffusion 3.5, a large-scale text-to-image model first released in 2022. A text-to-image model is a machine learning model which takes an input natural language description and produces an image matching that description.

4. Here’s how OpenAI’s magical DALL-E image generator works

   www.aol.com/openai-magical-dall-e-image...

   January 10, 2021 at 3:00 AM It seems like every few months, someone publishes a machine learning paper or demo that makes my jaw drop. This month, it’s OpenAI’s new image-generating model ...

5. Sora (text-to-video model) - Wikipedia

   en.wikipedia.org/wiki/Sora_(text-to-video_model)

   The technology behind Sora is an adaptation of the technology behind DALL-E 3. According to OpenAI, Sora is a diffusion transformer [10] – a denoising latent diffusion model with one Transformer as the denoiser. A video is generated in latent space by denoising 3D "patches", then transformed to standard space by a video decompressor.

6. OpenAI removes the waitlist for DALL-E 2, allowing anyone to ...

   www.aol.com/news/openai-removes-waitlist-dall-e...

   Several months after launching DALL-E 2 as a part of a limited beta, OpenAI today removed the waitlist for the AI-powered image-generating system, which will remain in beta but let anyone sign up ...

7. OpenAI to launch tool to detect images created by DALL-E 3

   www.aol.com/news/openai-launch-tool-detect...

   The company said the tool correctly identified images created by DALL-E 3 about 98% of the time in internal testing and can handle common modifications such as compression, cropping and saturation ...