DALLE-mtf
CLIP-Guided-Diffusion
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DALLE-mtf | CLIP-Guided-Diffusion | |
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41 | 4 | |
435 | 377 | |
0.0% | - | |
0.0 | 0.0 | |
about 2 years ago | over 1 year ago | |
Python | Python | |
MIT License | GNU General Public License v3.0 or later |
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DALLE-mtf
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How Open is Generative AI? Part 2
This vision is in line with EleutherAI, a non-profit organization founded in July 2020 by a group of researchers. Driven by the perceived opacity and the challenge of reproducibility in AI, their goal was to create leading open-source language models.
- The open source learning curve for AI researchers
- EleutherAI: Empowering Open-Source Artificial Intelligence Research
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Seeking advice on fine-tuning Pythia for semantic search in a non-English language
My current idea is to utilize the EleutherAI pythia (Databricks Dolly). I would like to know whether translating the Dolly-15k dataset into the desired language using state-of-the-art translation techniques like DeepL would be a viable approach to fine-tune the Pythia base model. I want to use this model for semantic search, so perfection is not a necessity.
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Does anyone want to collaborate to make anti-capitalist AI?
There are open source AI efforts, like EleutherAI. Needless to say, they are lagging behind big players, but it's better than nothing.
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ChatGPT is bonkers.
The new GPT 3.5 isn't aware what are GPT-3.5 or davinci-002 (repeatable) and claimed that it was designed by EleutherAI and has only 6 bil parameters (wasn't been able to repeat but didn't really try).
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My teacher has falsely accused me of using ChatGPT to use an assignment.
Hi, my name is Stella Biderman and I run EleutherAI, the one of the foremost non-profit research institutes in the world that trains and studies large language models. I have been involved with the majority of models to hold the title “largest open source GPT model in the world” and have dabbled in exploring using plagiarism detection tools to identify code written by GPT-J.
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dolly-v2-12b
dolly-v2-12bis a 12 billion parameter causal language model created by Databricks that is derived from EleutherAI’s Pythia-12b and fine-tuned on a ~15K record instruction corpus generated by Databricks employees and released under a permissive license (CC-BY-SA)
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Futurism: "The Company Behind Stable Diffusion Appears to Be At Risk of Going Under"
It is true that Emad needs to find an appropriate business model. The good news is that the hype is still undergoing. I'm sure that Emad can grab another round of liquidity injection. He got plenty of resources. Remember he is also from the finance industry. He got https://www.eleuther.ai/ which can supply a secured, in-house custom LLM equivalent to bloombergGPT.
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How can AI be used to protect against exploitative use of other AI?
By promoting fully open-source AI, i.e. making datasets, models, methodology and codebases freely available and transparent. What OpenAI claimed to be aiming for, basically.
CLIP-Guided-Diffusion
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Which is your favorite text to image model overall?
Runner-ups are Craiyon (for being more "creative" than SD), Disco Diffusion, minDALL-E, and CLIP Guided Diffusion.
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Once have access, do you run it on your computer or over the internet on Open-AI's computers?
-clip guided diffusion https://github.com/nerdyrodent/CLIP-Guided-Diffusion
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how would i go about running disco diffusion locally?
Nerdy Rodent has a Github repo for this; it should work fine from the Anaconda command line: https://github.com/nerdyrodent/CLIP-Guided-Diffusion
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PLAYING AGAIN (CLIP GUIDED DIFFUSION) (VQGAN + CLIP) (Beksinski)
As far as I understand, VQGAN is not a guided diffusion model. I've been using a slightly tweaked version of https://github.com/nerdyrodent/CLIP-Guided-Diffusion for diffusion. Once you get it set up the interface is pretty much what you might expect:
What are some alternatives?
VQGAN-CLIP - Just playing with getting VQGAN+CLIP running locally, rather than having to use colab.
dalle-mini - DALL·E Mini - Generate images from a text prompt
disco-diffusion
big-sleep - A simple command line tool for text to image generation, using OpenAI's CLIP and a BigGAN. Technique was originally created by https://twitter.com/advadnoun
gpt-3 - GPT-3: Language Models are Few-Shot Learners
vqgan-clip-app - Local image generation using VQGAN-CLIP or CLIP guided diffusion
DALLE-pytorch - Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch
feed_forward_vqgan_clip - Feed forward VQGAN-CLIP model, where the goal is to eliminate the need for optimizing the latent space of VQGAN for each input prompt
dalle-2-preview
mindall-e - PyTorch implementation of a 1.3B text-to-image generation model trained on 14 million image-text pairs