emikulic

It's over for decels.

Three epochs means it sees each token three times. The dataset is ~1T like you said.

I want flying cars and moving sidewalks like I was promised by The Jetsons. :(

Try https://huggingface.co/ehartford/WizardLM-7B-Uncensored and related models. They're not even trained on smut, just the neutered responses were removed before the RLHF stage (IIUC)

I used to be bad at math but then I did a 360° on that.

Emad said SD cost $600,000 to train. I wonder if Midjourney also had to pay that to train from scratch.

What benefits does the Huggingface diffusers(?) implementation have over A1111?

I like to run A1111 in --api mode and write my own script to drive it over HTTP.

Wow, Reddit is going to lose a lot of pagerank.

You're thinking of archive.is

You mean the one that defeated two superpowers?

Last time I looked into this, the answer was "because huggingface transformers and torch.load are written to do it this way"

You could absolutely do something streaming, or mmap the weights instead of loading them into system RAM. Just the default interfaces don't.

This used to be the case but nowadays you can just pip install e.g. https://libraries.io/pypi/nvidia-cuda-runtime-cu11

I hope you will run your own locally instead of letting Midjourney block and/or mess with your prompts.

If edge devices includes my gamer PC then yes. For apps I'd recommend https://github.com/AUTOMATIC1111/stable-diffusion-webui

If that's what paywall means now then sorry for the noise. :)

I thought Emad said it cost $600k in GPU time.

You have to create an account and agree to some stuff and be logged in but you're correct that you don't have to pay.

The absolute state of the free and open web in 2022.

Same. I've found the biggest problem was SNAT rewriting the (source) port number. netfilter, by default, doesn't do this. pf does but you can configure it not to.

You can generate things the author doesn't like. And since you're doing it on your video card at home, nobody can stop you.

Sorry to hear it, man. :( I hope you get better.

Craiyon certainly doesn't.

You can run craiyon / dalle-mini on a card with 8GB of VRAM if you decrease batch size to 1 and skip the CLIP step. Takes about 7 sec to generate an image on a 3070.

I started with https://github.com/borisdayma/dalle-mini/blob/main/tools/inf... and pared it down.

How long a network outage are you allowed to have before you lose your stake?

IIUC if the CPU changes even once, your program jumps to (is context switched into) a recovery sequence.

Or CNBC.

Great episode. I rewatched it recently and it was just a bit too real.

I wish Australia had spent a fraction of that money building quarantine facilities instead. :)

Vouch takes the comment out of dead status. I then see other dead comments by the same user so I don't think it takes the user out of dead status.