maple-diffusion
List-of-Dirty-Naughty-Obscene-and-Otherwise-Bad-Words
maple-diffusion | List-of-Dirty-Naughty-Obscene-and-Otherwise-Bad-Words | |
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7 | 25 | |
781 | 2,776 | |
- | 1.5% | |
10.0 | 0.0 | |
over 1 year ago | 3 months ago | |
Swift | ||
MIT License | Creative Commons Attribution 4.0 |
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maple-diffusion
- World’s first on-device demonstration of Stable Diffusion on an Android phone
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I made a Stable Diffusion for Anime app in your Pocket! Running 100% offline on your Apple Devices (iPhone, iPad, Mac)
Yup I used MPSGraph with Swift to make the app, based on this open source projcet Maple Diffusion: https://github.com/madebyollin/maple-diffusion
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Stretch iPhone to Its Limit: 2GiB Stable Diffusion Model Runs Locally on Device
yeah, running the full decoder takes a while. though, since the "latent" is just 4 channels and pretty close to representing RGB, you can use a linear combination of latent channels and get a basic (grainy, low-res) preview image like this [0] without much trouble. I expect you could go further, and train a shallow conv-only decoder to get nicer preview results, but I'm not sure if anyone's bothered yet.
[0] https://github.com/madebyollin/maple-diffusion
- maple-diffusion is a super fast native iOS and/or Apple Silicon Mac client
- Stable Diffusion Inference on iOS
- Stable Diffusion inference on iOS / macOS using MPSGraph
List-of-Dirty-Naughty-Obscene-and-Otherwise-Bad-Words
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Ask HN: List of Subdomains to Reserve
Good point. I am already checking against the naughty-words list from here:
https://github.com/LDNOOBW/List-of-Dirty-Naughty-Obscene-and...
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Where is the banned word list so I can integrate it?
https://github.com/LDNOOBW/List-of-Dirty-Naughty-Obscene-and-Otherwise-Bad-Words is one
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We’re Washington Post reporters who analyzed Google’s C4 data set to see which websites AI uses to make itself sound smarter. Ask us Anything!
We know that C4 was used to train Google’s influential T5 model, Facebook’s LLaMA, as well as the open source model Red Pajama. C4 is a very cleaned-up version of a scrape of the internet from the non-profit CommonCrawl taken in 2019. OpenAI’s model GPT-3 used a training dataset that began with 41 scrapes of the web from CommonCrawl from 2016 to 2019 so I think it’s safe to say that something akin to C4 was part of GPT-3. (The researchers who originally looked into C4 argue that these issues are common to all web-scraped datasets.) When we reached out to OpenAI and Google for comment, both companies emphasized that they undergo extensive efforts to weed out potentially problematic data from their training sets. But within the industry, C4 is known as being a heavily filtered dataset and has been criticized, in fact, for eliminating content related to LGBTQ+ identities because of its reliance on a heavy-handed blocklist. (https://github.com/LDNOOBW/List-of-Dirty-Naughty-Obscene-and-Otherwise-Bad-Words ) We are working on some reporting to try to address your last and very crucial question, but it’s an open area of research and one that even AI developers are struggling to answer.
- TIL there's an official list of profanities ChatGPT is trained to avoid
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Microsoft's paper on OpenAI's GPT-4 had hidden information
"The Colossal Clean Crawled Corpus, used to train a trillion parameter LM in , is cleaned, inter alia, by discarding any page containing one of a list of about 400 “Dirty, Naughty, Obscene or Otherwise Bad Words”. This list is overwhelmingly words related to sex, with a handful of racial slurs and words related to white supremacy (e.g. swastika, white power) included. While possibly effective at removing documents containing pornography (and the associated problematic stereotypes encoded in the language of such sites) and certain kinds of hate speech, this approach will also undoubtedly attenuate, by suppressing such words as twink, the influence of online spaces built by and for LGBTQ people. If we filter out the discourse of marginalized populations, we fail to provide training data that reclaims slurs and otherwise describes marginalized identities in a positive light"
from "On the Dangers of Stochastic Parrots: Can Language Models Be Too Big? " https://dl.acm.org/doi/10.1145/3442188.3445922
That list of words is https://github.com/LDNOOBW/List-of-Dirty-Naughty-Obscene-and...
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Rule
Yeah, This is shutterstocks one which they shared
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If I made a game with a chatroom, what curses and slurs would I ban?
I always turn off the chatfilter, so defo let them choose if they want to have it censored or not. For the actual words themselves, there are plenty of lists out there that you can use (like this one). Although these are just regular words, none of the circumvention methods are included
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Emad announces a new Stability lab with a new soon model. It looks like a Dall-e 2 style AI to me. Maybe it is our open source Dall-e 2, like KARLO. The images are very interesting. According to Emad "Soon".
That it's very crudely filtered for naughty words. According to the paper, "We removed any page that contained any word on the “List of Dirty, Naughty, Obscene or Otherwise Bad Words”." That list is here. While it contains a lot of unquestionably ugly words, it also contains words like "tit".
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I made a Stable Diffusion for Anime app in your Pocket! Running 100% offline on your Apple Devices (iPhone, iPad, Mac)
No problem! I wrote a short json file and Swift script to remove the nsfw words from the prompt during the image generation process, therefore it's not based on the negative prompt. The json file is a txt full with nsfw words so the app can check and remove unwanted prompts, e.g.: https://github.com/LDNOOBW/List-of-Dirty-Naughty-Obscene-and-Otherwise-Bad-Words
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Lewdle - A daily lewd word game
This is the closest I’ve come to finding one. It’s not that great.
What are some alternatives?
Snappy - A fast compressor/decompressor
google-profanity-words - Full list of bad words and top swear words banned by Google.
xnu
List-of-Dirty-Naughty-Obscene-and
stable-diffusion-webui - Stable Diffusion web UI
git-crypt - Transparent file encryption in git
following-instructions-human-feedback
rmarkdown - Dynamic Documents for R
Hashids.java - Hashids algorithm v1.0.0 implementation in Java
RedPajama-Data - The RedPajama-Data repository contains code for preparing large datasets for training large language models.
wordfilter - A small module meant for use in text generators that lets you filter strings for bad words.
arxiv-latex-cleaner - arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv