lucidrains/DALLE2-pytorch

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

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Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch. Yannic Kilcher summary | AssemblyAI explainer The main novelty seems to be an extra layer of indirection with the prior network (whether it is an autoregressive transformer or a diffusion network), which predicts an image embedding based on the text embedding from CLIP. Specifically, this repository will only build out the diffusion prior network, as it is the best performing variant (but which incidentally involves a causal transformer as the denoising network 😂) This model is SOTA for text-to-image for now. Please join if you are interested in helping out with the replication with the LAION community | Yannic Interview As of 5/23/22, it is no longer SOTA. SOTA will be here. Jax versions as well as text-to-video project will be shifted towards the Imagen architecture, as it is way simpler. ongoing at 21k steps This library would…

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Inside the original README — Document outline
  1. DALL-E 2 - Pytorch
  2. Status
  3. Pre-Trained Models
  4. Appreciation
  5. Install
  6. Usage
  7. Training on Preprocessed CLIP Embeddings
  8. OpenAI CLIP
  9. Inpainting
  10. Experimental
  11. DALL-E2 with Latent Diffusion
  12. Training wrapper

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What this repository does

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

Repository facts

Owner
lucidrains
Primary language
Python
Stars
11,304
Forks
1,064
Open issues + pull requests
73
License
MIT
Archived
No
Default branch
main
Created
2022-04-07T04:14:08.000Z
Last push
2024-05-11T19:18:10.000Z

Topics and intended use

Owner-supplied topics: artificial-intelligence, deep-learning, text-to-image

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