541–550 of 579 posts
Surprised by the lack of comments on the ethics of DALL-E being trained on artists content whereas copilot threads are chock full of devs up in arms over models trained on open source code. Isn’t it the same thing?
Surprised by the lack of comments on the ethics of DALL-E being trained on artists content whereas copilot threads are chock full of devs up in arms over models trained on open source code. Isn’t it the same thing?
Another question related to ethics > Preventing harmful images: We’ve made our content filters more accurate so that they are more effective at blocking images that violate our content policy — which does not allow users to generate violent, adult, or political content What is defined as political content? Can I prompt DALL-E to draw ”Fat Putin”?
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In the unCLIP/DALL-E 2 paper[0], they train the encoder/decoder with 650M/250M images respectively. The decoder alone has 3.5B parameters, and the combined priors with the encoder/decoder are the in the neighborhood of ~6B parameters. This is large, but small compared to the name-brand "large language models" (GPT3 et. al.) This means the parameters of the trained model fit in something like 7GB (decoder only, half-p…
> This means the parameters of the trained model fit in something like 7GB (decoder only, half-precision floats) to 24GB (full model, full-precision) > you would probably want an enterprise cloud/data-center GPU like an NVIDIA A100, especially if running batches of more than one image. That doesn't seem so bad. looks up price of NVIDIA A100 - $20,000 oh...ok I'll probably just pay for the service then
For the half-precision version at 7GB there are a ton more options (the RTX 3060 has 12GB for example at ~$450).
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Is it trained on unlicensed work gathered at random at the web? (I really don't know, and I didn't find anything about it on their site.)
In a way, it's no different than an artist walking through an art gallery then going home, inspired, to paint a dark portrait a la Rembrandt
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I mean, waifu2x and similar waifuxx libraries are free and open-source, there's really no reason to pay for it if you're working on a desktop.
Things have moved on a considerable amount since waifu2x Try https://github.com/n00mkrad/cupscale
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I've been using this app to upscale the images to 4000x4000, and it works amazingly well (there is also a version for Android): https://apps.apple.com/us/app/waifu2x/id1286485858 I paid extra to get the higher quality model using the in-app purchase option. It crushes the phone's battery life, but runs in only ~10 seconds on an iPhone 13 Pro for a single 1000x1000 input image.
I mean, waifu2x and similar waifuxx libraries are free and open-source, there's really no reason to pay for it if you're working on a desktop.
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Ai generated TikTok could be almost like wire jacking humans.
How many years away is this? 5? 10? I seriously doubt it'll be longer than that, considering the recent advances of autoregressive models, and the overall trajectory of ML the last decade. It'll use hideous amounts of compute.
If you get a large percentage hooked on TikTok you can change and undermine democracy.
Starting to believe representative democracy and social media are incompatible.
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I think people don't realize how huge these models really are. When they're free, it's pretty cool. But charge an amount where there's actual profit in the product? Suddenly seems very expensive and not economically viable for a lot of use cases. We are still in the "you need a supercomputer" phase of these models for now. Something like DALLE mini is much more accessible but the results aren't good enough. Early ear…
How hard would it be to spin off a variant of this with more focused data models that cater to specific styles or art-types? Like say, a data model only for drawing animals. Or one only for creating new logos?
That includes YOURS.
Have you been paid for it?