PaLM-pytorch
DALLE-pytorch
| PaLM-pytorch | DALLE-pytorch | |
|---|---|---|
| 3 | 20 | |
| 821 | 5,587 | |
| - | - | |
| 0.0 | 2.5 | |
| about 2 years ago | 10 months ago | |
| Python | Python | |
| MIT License | MIT License |
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PaLM-pytorch
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Implementing the Gargantuan Pathways with Colossal-AI, easy and efficient!
We firstly reproduced the PaLM model architecture on one GPU according to the PaLM paper’s description. Here we have referred following repo for the reproduction: https://github.com/lucidrains/PaLM-pytorch
- [R] Google's 540B (Dense) model Pathways LLM, "Unlocks" new tasks proportional to scale
- Pathways Language Model (Palm): 540B Parameters for Breakthrough Perf
DALLE-pytorch
- The Eleuther AI Mafia
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Thoughts on AI image generators from text
Here you go: https://github.com/lucidrains/DALLE-pytorch
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[P] DALL·E Mini & Mega demo and production API
Here are some other implementations of Dalle clones in Pytorch by various authors in the ML and DL community: https://github.com/lucidrains/DALLE-pytorch
- New text-to-image network from Google beats DALL-E
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[Project] DALL-3 - generate better images with fewer tokens through clip guided diffusion
If in general DDPM > GAN > VAE, why do transformer image generators all use VQVAE to decode images? Wouldn't it be better to use a diffusion model? I was wondering about this and started experimenting with different ways to decode vector-quantized embeddings with a diffusion model - see discussion here After a lot of trial and error I got something that works pretty well.
- Still waiting for dall-e
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Ask HN: Computer Vision Project Ideas?
- "Discrete VAE", used as the backbone for OpenAI's DALL-E, reimplimented here (and other places) https://github.com/lucidrains/DALLE-pytorch (code for training a discrete VAE)
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Crawling@Home: Help Build The Worlds Largest Image-Text Pair Dataset!
Here's the DALLE-pytorch git repo.
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(from the discord stream) I'm so hyped for this game. This generation is really good.
I am very excited, when AI Dungeon was released and seeing them filtering stuff, I thought that one day there will be an open source version of this without filters, the same goes for any future open sourced GPT-X. Now if we can get to train an open source DALL-E too and integrate it on NovelAI. Wouldn't that be even more awesome?
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Wann habt Ihr euch das letzte Mal wie ein Kind über eine Sache gefreut?
Vielleicht bei https://github.com/lucidrains/DALLE-pytorch und https://github.com/kobiso/DALLE-reproduction
What are some alternatives?
CoCa-pytorch - Implementation of CoCa, Contrastive Captioners are Image-Text Foundation Models, in Pytorch
DALL-E - PyTorch package for the discrete VAE used for DALL·E.
nuwa-pytorch - Implementation of NÜWA, state of the art attention network for text to video synthesis, in Pytorch
DALLE2-pytorch - Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch
PaLM-colossalai - Scalable PaLM implementation of PyTorch
deep-daze - Simple command line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation network). Technique was originally created by https://twitter.com/advadnoun
x-transformers - A concise but complete full-attention transformer with a set of promising experimental features from various papers
DALLE-datasets - This is a summary of easily available datasets for generalized DALLE-pytorch training.
PaLM-flax - Implementation of the SOTA Transformer architecture from PaLM - Scaling Language Modeling with Pathways in JAX/Flax
imagen-pytorch - Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch
DALLE-reproduction - Reproducing OpenAI's DALLE model