Karuma

Most people can easily tell the difference between useless bot crap (like the article), and genuine human comments (like the one you're replying to).

Too bad you and most HN commenters nowadays can't...

That was actually GPT-2: https://www.theguardian.com/technology/2019/feb/14/elon-musk...

When people work for an insanely difficult project for more than 2 years, they probably pick something they personally love and don't need any external request.

Thank you for mentioning it. Too bad you got downvoted to hell as usual when anybody dares to do it.

The original post and every comment by OP is so full of AI slop ("the biggest surprise!", "one thing I didn't expect!", "the biggest challenge!", etc. etc.") that is absolutely painful to read. I still can't believe most people (especially here on HN, I thought we were a bit better than this) can't notice all this stuff.

What's much worse, it's that all these people posting this useless slop are so dishonest ("I definitely use LLMs to help write things - but this is my draft!") that it makes me really nauseous... This is the worst time to be an internet user if you have more than 2 points of IQ.

Every single line in this article was written by an LLM...

Only the images? The entire article is pure AI slop. But no one even cares anymore... People seem to love this kind of empty text, or no one even reads anymore, or everyone here is a bot already... Who knows.

Yeah, I've been just slowly blocking all these domains, users, etc. But nowadays it's just unbearable. We have already lost this war.

And seeing every day this kind of crap at the top of the front page of the websites I used to love, with hundreds of comments of intelligent people not even noticing all this useless AI slop... Very sad future ahead.

Yes, these people are so unbelievably stupid that think others more intelligent than them can't tell when they use AI to write their stuff. And then they act so annoyed when they get exposed... It's unbearable.

The article here is still full of AI slop, and so many people in the comments are defending the author. Blows my mind.

Thank you.

Every time I complain about this kind of useless AI slop I get downvoted to hell and get dozens of comments saying "it doesn't look AI at all", so I don't even bother anymore. It's incredibly sad, I expected much more from this community... But it looks like it'll soon be dead like the rest of the internet.

1984 is N°22 on that list...

I was thinking more like this one: https://github.com/AdamNizol/ComfyUI-Anima-Enhancer/

"It adds the Anima Layer Replay Patcher, which can enhance fine detail and coherence by replaying selected internal blocks during denoising."

Wow, every single word in the original post and on that README.md is pure LLM. How sad.

In any case, this has been done at least since the very first public releases of Llama by Meta... It also works for image models. There are even a few ComfyUI nodes that let you pick layers to duplicate on the fly, so you can test as many as you want really quickly.

Please, HN mods, no more ChatGPT articles...

I'd ask any LLM myself if I cared to read their empty words.

A simple test I just did:

Me: What are some of Maradona's most notable achievements in football?

Mercury 2 (first sentence only): Dieadona’s most notable football achievements include:

Notice the spelling of "Dieadona" instead of "Maradona". Even any local 3B model can answer this question perfectly fine and instantly... Mercury 2 was so incredibly slow and full of these kinds of unforgivable mistakes.

That one looks extremely fake... No one would mistake サーカス as circuit, which is usually written as サーキット and is pronounced completely different. Also, calling the sport and everything around it as "the F1 circus" is very common in Japan and other parts of the world.

You're worried about something that only comes up once every few thousands of sentences...

I'd be more worried because even the simplest and shortest sentences are horribly translated in those example pages.

It wouldn't be too hard to do any of the things you mention. See ControlNet for Stable Diffusion, and vid2vid (if this model does txt2vid, it can also do vid2vid very easily).

So you can just record some guiding stuff, similar to motion capture but with just any regular phone camera, and morph it into anything you want. You don't even need the camera, of course, a simple 3D animation without textures or lighting would suffice.

Also, consistent look has been solved very early on, once we had free models like Stable Diffusion.

Maybe removing the lazy posts from the training data.

That game is from a second-party developer.

With SD I can generate at least 15k images daily on my old laptop, I can train it with new styles, characters, real people, etc.; download thousands of new styles, characters, real people, etc. from Civitai, and best of all, never worry about ever losing access to it, being censored, having to jailbreak it, being snooped on, etc.

Plus a million other tools that the community has made for it, like ControlNet or things like AnimateDiff to create videos. I can also easily create all kinds of scripts and workflows.

The most interesting bit for me is that "he deciphered the Mayan script when he learned that the world scientific community considered it impossible."

This part is sadly very common in all sciences: https://en.wikipedia.org/wiki/Yuri_Knorozov#Critical_reactio...

It's always been bad for you.

That's why I said "right now", since I feel that most people have moved from the one you linked to AUTOMATIC's fork by now. hlky's fork (the one you linked) was by far the most popular one until a couple of weeks ago, but some problems with the main developer's attitude and a never-ending migration from Gradio to Streamlit filled with issues made it lose its popularity.

AUTOMATIC has the attention of most devs nowadays. When you see any new ideas come up, they usually appear in AUTOMATIC's fork first.

I'm using the one I linked in my original post: https://github.com/AUTOMATIC1111/stable-diffusion-webui

The only command line argument I'm using is --lowvram, and usually generate pictures at the default settings at 512x512 image size.

You can see all the command line arguments and what they do here: https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki...

Nope. There are instructions for Windows, Linux and Apple Silicon in the readme: https://github.com/AUTOMATIC1111/stable-diffusion-webui

There's also this fork of AUTOMATIC1111's fork, which also has a Colab notebook ready to run, and it's way, way faster than the KerasCV version: https://github.com/TheLastBen/fast-stable-diffusion

(It also has many, many more options and some nice, user-friendly GUIs. It's the best version for Google Colab!)

There are forks that even work on 1.8 of VRAM! They work great on my GTX 1050 2GB.

This is by far the most popular and active right now: https://github.com/AUTOMATIC1111/stable-diffusion-webui

I think something similar already exists. See this, for example: https://koe.ai/recast/

Although I don't know if they're using anything similar to what you suggest. Very cool idea, anyway!

Google is paying, and yes, you can, but they will disconnect you after a while. And if you abuse it too much, you won't be able to use it until the following day...

You can also buy Colab Pro and Colab Pro+, which have fewer limitations and faster GPUs.

Yes, you can run it on your Intel CPU: https://github.com/bes-dev/stable_diffusion.openvino

And this should work on an AMD GPU (I haven't tried it, I only have NVIDIA): https://github.com/AshleyYakeley/stable-diffusion-rocm

There are also many ways to run it in the cloud (and even more coming every hour!) I think this one is the most popular: https://colab.research.google.com/github/altryne/sd-webui-co...

rather a much-gamed and an integral part of stretching out the “playable campaign hours” metric

That may be the case in many games, but in most games that were translated from Japanese, the reason is that Japanese is a much more compact language (many words are just 1 character long, for example) so the speed is OK in Japanese, but horribly slow in Western languages. A few devs actually increased the text speed for oversea releases, but most didn't.