would love to know what portion of this prompt is not allowed

• DALLE2-pytorch

  65 10,826 6.8 Python

  Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch

The paper describing the model is public and has been implemented here, but that's not the hard part. The model likely requires months of compute and dozens of gigabytes of VRAM to train and run, likely costing several hundred thousand dollars.

• imagen-pytorch

  47 7,780 6.8 Python

  Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch

Google's Imagen has also been implemented, and is actually simpler and seems to perform better, especially for text, but the story is similar. As with GPT-3, not many people are willing to burn hundreds of thousands to train a model only to release it to the public for free. And even if they do, good luck running it. BigScience/HuggingFace just released a GPT-3 equivalent. It requires 640GB of VRAM to run at full speed. From what I gather that would cost in the realm of $40 an hour to run on the cloud. These image models are apparently smaller but will still cost a lot.

• WorkOS

  workos.com sponsored

  The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

  

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