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The name "OpenAI" to me implies being open-source.

I have an RTX 3080 and will likely be buying a 4090 when it comes out. Will I ever be able to generate these images locally, rather than having to use a paid service? I've done it with DALL-E Mini, but the images from that don't hold a candle to what DALL-E 2 produces.




From what i've seen it's all about the VRAM

if you've got 60GB available to your GPU then maybe you can get close

I'm really curious if Apple's unified memory architecture is of benefit here, especially a few years from now if we can start getting 128/256GB of shared RAM on the SoC


I was reading on Reddit that you would only need 12 GB of VRAM for DALL-E 2 to run on a local machine https://www.reddit.com/r/dalle2/comments/w3sbt3/comment/ih01....


You should show up to the US Open with a tennis racket next year and see if they'll let you have a go, too.


Are you an AI as well? Because within the context of tech "Open" definitely has that connotation


I'm not sure if any current or next-generation GPU even has enough power to run DALL-E 2 locally.

Anyway, OpenAI is unlikely to release the model. The situation will like it is with GPT-3; however, it's also likely another team will attempt to duplicate OpenAI's work.


Thanks to the amazing @lucidrains there's already an open-source implementation of DALL-E 2: https://github.com/lucidrains/DALLE2-pytorch and a pretrained model for it should be released within this year.

The same person is also at work on an open-source implementation of Google's Imagen which should be even better (and faster) than DALLE-2: https://github.com/lucidrains/imagen-pytorch.

This is possible because the original research papers behind DALLE-2 and Imagen were both publicly released.


Their choice of name gets funnier every month.


> Since its research is free from financial obligations, OpenAI can better focus on a positive human impact.

Haha description of the company from Google




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