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2. How to Use DALL-E to Make One-of-a-Kind AI Images - AOL

   www.aol.com/dall-e-one-kind-ai-115700345.html

   DALL-E is an AI art generator that lets you generate images from simple textual descriptions. Released in 2021, DALL-E has come a long way from generating incomprehensible splotches to producing ...

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

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

   This month, it's OpenAI's new image-generating model, DALL·E. This behemoth 12-billion-parameter neural network takes a text caption (i.e. “an armchair in the shape of an avocado”) and ...

4. 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.

5. ChatGPT isn't the only cool AI tool made by OpenAI — check ...

   www.aol.com/news/chatgpt-isnt-only-cool-ai...

   DALL-E . Just months before ChatGPT launched, OpenAI removed the waitlist for its generative AI art generator, DALL-E.It quickly grew to over 1.5 million daily users by September 2022, the company ...

6. Generative artificial intelligence - Wikipedia

   en.wikipedia.org/wiki/Generative_artificial...

   Generative AI systems trained on sets of images with text captions include Imagen, DALL-E, Midjourney, Adobe Firefly, FLUX.1, Stable Diffusion and others (see Artificial intelligence art, Generative art, and Synthetic media). They are commonly used for text-to-image generation and neural style transfer. [66]

7. Diffusion model - Wikipedia

   en.wikipedia.org/wiki/Diffusion_model

   DALL-E 2 is a 3.5-billion cascaded diffusion model that generates images from text by "inverting the CLIP image encoder", the technique which they termed "unCLIP". The unCLIP method contains 4 models: a CLIP image encoder, a CLIP text encoder, an image decoder, and a "prior" model (which can be a diffusion model, or an autoregressive model).