text-to-text-transfer-transformer
majesty-diffusion
| text-to-text-transfer-transformer | majesty-diffusion | |
|---|---|---|
| 29 | 8 | |
| 5,909 | 274 | |
| 1.1% | 0.0% | |
| 5.0 | 0.0 | |
| 3 months ago | almost 2 years ago | |
| Python | Jupyter Notebook | |
| Apache License 2.0 | - |
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text-to-text-transfer-transformer
- T5: Text-to-Text-Transfer-Transformer
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Gemma: New Open Models
Google released the T5 paper about 5 years ago:
https://arxiv.org/abs/1910.10683
This included full model weights along with a detailed description of the dataset, training process, and ablations that led them to that architecture. T5 was state-of-the-art on many benchmarks when it was released, but it was of course quickly eclipsed by GPT-3.
Following GPT-3, it became much more common for labs to not release full details or model weights. Prior to that, it was common practice from Google (BERT, T5), Meta (BART), OpenAI (GPT1, GPT2) and others to release full training details and model weights.
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[P] Free and Fast LLM Finetuning
[2] - https://arxiv.org/abs/1910.10683
- Free and Fast LLM Finetuning
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[Discussion] Is there a better way than positional encodings in self attention?
T5-style relative encodings https://arxiv.org/abs/1910.10683
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What were the 40 research papers on the list Ilya Sutskever gave John Carmack?
11. T5: Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer" (2020) - https://arxiv.org/abs/1910.10683 (Google Research)
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[P] T5 Implementation in PyTorch
You can find a link to the paper here: https://arxiv.org/abs/1910.10683
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Text-to-Text Transformer (T5-Base Model) Testing For Summarization, Sentiment Classification, and Translation Using Pytorch and Torchtext
The Text-to-Text Transformer is a type of neural network architecture that is particularly well-suited for natural language processing tasks involving the generation of text. It was introduced in the paper "Attention is All You Need" by Vaswani et al. and has since become a popular choice for many NLP tasks, including language translation, summarization, and text generation
- AlphaCode by DeepMind
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[R] LiBai: a large-scale open-source model training toolbox
Found relevant code at https://github.com/google-research/text-to-text-transfer-transformer + all code implementations here
majesty-diffusion
- disco diffusion makes realistic portraits, Latent Majesty makes portraits + bewbs
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Protests erupt outside of DALL-E offices after pricing implementation, press photograph
You missed Majesty Diffusion. It's rather complicated to use because it uses latent space diffusion and CLIP guidance at the same time, so you have to get many settings right, but once you do it can give amazing results, go see them on their Discord!
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DALL·E Now Available in Beta
Here are a couple I've used recently:
Majestic diffusion - https://github.com/multimodalart/majesty-diffusion
Centipede diffusion - https://colab.research.google.com/github/Zalring/Centipede_D...
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Judy Hopps as a real person (Latent Majesty Difusion)
I suck with computers so i hope these links mean something to you, looks like devil witch magic to me. link1 link2 link3
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The inner works of AGI
There's also another model going around called Latent Majesty Diffusion that does the same thing.
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Lenin as a bust on Mars (Dall-E-Mini + Majesty Diffusion + Centipede Diffusion)
I found the github: https://github.com/multimodalart/majesty-diffusion
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New text-to-image network from Google beats DALL-E
Check https://github.com/multimodalart/majesty-diffusion
There is a Google Colab workbook that you can try and run for free :)
This is the image-text pairs behind: https://laion.ai/laion-400-open-dataset/
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Colab notebooks "Latent Majesty Diffusion" (CLIP-guided latent diffusion; formerly known as Latent Princess Generator) and "V-Majesty Diffusion" (CLIP-guided V-objective diffusion; formerly known as Princess Generator Victoria)
GitHub repo.
What are some alternatives?
fairseq - Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
dalle-mini - DALL·E Mini - Generate images from a text prompt
tortoise-tts - A multi-voice TTS system trained with an emphasis on quality
DALLE2-pytorch - Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch
DeepCreamPy - Decensoring Hentai with Deep Neural Networks
imagen-pytorch - Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch
hent-AI - Automation of censor bar detection
latent-diffusion - High-Resolution Image Synthesis with Latent Diffusion Models
nlu - 1 line for thousands of State of The Art NLP models in hundreds of languages The fastest and most accurate way to solve text problems.