glenneroo

You must have missed the many announcements of multiple thousands of layoffs happening at many big tech companies lately ;)

So... everyone has to carry a lavalamp in a backpack?

> The pain points are elsewhere.

Not sure if this is what you mean but one huge pain point for almost every dev is that code changes necessitate a project reload, which, even with domain reload can be extremely slow and gets worse the larger the project becomes.... which is why I'm extremely exuberant about the new hot-reload plugins which allow editing code while a project is running and changes will be patched in real time! For me it's comparable to when SSDs first came out, finally we were able to ditch slow spinning rust. I've been using it for a couple days now and I've probably already saved a few hours.

I've been using HotReload.net which is free for Unity Personal Edition but there's also an asset on the store for ~40€ but i haven't looked at it yet.

I just wrote this comment in copilot (rider/c#):

// convert 32 to binary

copilot suggestion: 00000000000000000000000000100000

Then I tried:

int val = 32; // convert 32 to binary

Auto-generated:

binary = Convert.ToString(val, 2);

I've been trying to get one since they came out for a friend and I just looked again: there is one company who has some in stock but they are asking 900€!

I heard many years ago that Irvine has/had the highest police to citizen ratio in the US. Not sure how true was/is though.

I know this is Seattle now but purely time-based: I visited SF for an hour last year and was victim of a smash and grab. Parked across the street across from a restaurant near the wharf with people sitting/eating outside so I thought it would be safe. I'm guessing partly because there were some plastic shopping bags in the backseat (with candy, which they didn't take) and because the rental car had out of state plates. When I returned the car at SF airport, there was a row of cars in front with the exact same window (rear driver's side) smashed. As I waited for paperwork/replacement, several other cars came in with the same window smashed. At least when I called the PD they told me to just file a report online (which I needed for insurance) and asked if they should send an officer - to which I said, "no, why would you send an officer now?". I don't remember the answer. Worse was trying to get a hold of someone at the rental car company... ugh what a disaster.

You could try building a "faraday pencil case": https://discussions.apple.com/thread/8231431

I've had great results upscaling with various versions of the open source RealESRGANx4 which I usually just run via Visions of Chaos (which also supports lots of other upscalers, stable diffusion, disco diffusion, and hundreds of other AI related tools).

Sounds like maybe a good startup idea brewing here...

Otherwise sites like this wouldn't exist: https://iknowwhereyourcatlives.com/

(taken from yesterday's posting of OPsec tools: https://news.ycombinator.com/item?id=32951406)

You can't even disable it completely, at best in e.g. Lightroom you can pause the cloud sync and it may get re-enabled without your consent. You will only notice that your upload bandwidth is suddenly saturated and if you have a monitoring tool installed, are you able to determine who is the culprit. It once chewed through my meager monthly quota overnight when I installed it on a laptop prior to going to a friend's house who didn't have internet while tethered to my phone. I was very unhappy about that "feature" to say the least.

I've been running it fine on my 3060 Ti, then again I don't have any monitors connected so the full 8GB is free. Check VRAM usage, I'm guessing you don't have 8GB free, more like 5-6GB, since you have monitors connected.

Also, you could try Visions of Chaos and use the Mode > Machine Learning > Text-to-Image > Stable Diffusion. It also has tons of other AI tools e.g. image-to-text captioning, diffusion model training, mandelbrot, music, and a ton more. The dev(s) push out updates almost every day.

Warning: You will first need to go through the 12 steps of Machine Learning setup first[0], then it will download 3-400GB of models since it has scripts for pretty much every latent diffusion out there, some of which e.g. Disco Diffusion I find to still give more interesting results and you can get much higher res on a 3060 Ti, plus you have a TON more parameters to play with, not to mention you can train your own models and load those in (which I've been doing the past few weeks using my photography to get away from using unlicensed imagery :)

[0] https://softology.pro/tutorials/tensorflow/tensorflow.htm

You'll be able to render but it won't be fast, those CUDA cores are ancient and VRAM speed is slow. Check the Stable Diffusion discord for more info, but I found these comments:

> one minute per 512x512 @ 50 steps

> 1m20s to run 50 ddims on 512x512 vs 2080 ti in 12 seconds

You'll have to run the optimized model as well, since you can't connect the 2x 12GB together.

That probably won't help much since OP said they aren't even using 14GB of VRAM. I have dual GPUs and use the 2nd one (3060 Ti with no monitors connected) for rendering, which is nice because I have the full 8GB free.

This list is already a month old but it should give you an idea of what kind of words are banned: https://www.reddit.com/r/dalle2/comments/wa3jt6/banned_words...

Thanks! I have a g-doc where I've been documenting settings and progress here[0] although I just now realized I might not have been using my diffusion model correctly for most of my tests. Iteration 509 of my model I seem to have finally nailed it though! :) I partially "blame" Visions of Chaos since the amazing dev (or devs?) drops updates almost every day with new Machine Learning features, model training was only added recently. I must have reset something on accident.

Also I realize there's a lot of image prep work required, not to mention I have a less than ideal amount of VRAM (3060 Ti w/8GB but no monitors attached i.e. 8GB free) so I have to lower some settings. The source images have to be in 1:1 format (which none of my photos are) so I'm using a script to batch call ImageMagick's 'convert' to add white borders to the top/bottom, which results in my renders also having white borders.

[0] https://docs.google.com/document/d/1CnC5SaqpeJiQS-TlDS4trzJR...

Fair enough and props to Stability for giving people the benefit of the doubt, not to mention actually open sourcing almost all of their work, unlike other "open" projects. Speaking of which, Dall-E bans a decent chunk of the English dictionary in the hopes of preventing people from generating anything even remotely offensive, which can be somewhat frustrating.

Look into image-to-text or CLIP captioning. There are several tools out there, although similar to running text-to-image tools locally, may require some time to setup via conda. The easiest way that I know of (currently) would be install Visions of Chaos. You will still need to follow the TensorFlow setup guide[0] which will take 1-2 hours, then, running Visions of Chaos > Mode > Machine Learning will download 3-400GB of models in order to be able to run all the available tools they have integrated, even if you aren't interested in most of them. The setup may require several retries and several hours due to some servers being extremely slow (or overloaded).

EDIT: Just found this[1] as well, though setup might also be a pain.

[0] https://softology.pro/tutorials/tensorflow/tensorflow.htm [1] https://replicate.com/methexis-inc/img2prompt

Which is now Stable Diffusion under the hood, sprinkled with a little prompt parsing "magic".

Which feels a bit sketchy(?) to me, seeing as all models are built on imagery scraped from the net without anyone's permission. It's one reason why I've spent the last month training my own models using my own imagery. If these stock photo sites had any brains, they would also start training models on images in their databases, especially since they already have everything sorted into categories based on keywords (which I'll spend the next year doing, until I can get img2text tools working in recursive batch mode).

AFAIK nothing is released yet? They are probably still trying to, like Dall-E 1/2, remove every every image and ban every word that might generate even the slightest hint of controversial imagery before releasing it to the public. To be fair, Stable Diffusion spent months basically doing the same on Discord with thousands of beta users, and had an army of moderators flagging images which were subsequently removed in order to prevent people from generating porn. Didn't help though, as people got access to the beta models (for "research" purposes) a few weeks before the official release and are using that to e.g. create "porn"[0].

[0] pornpen.ai: https://news.ycombinator.com/item?id=32572770

It's ~1.5 million entries inputted by users during the beta period on Discord.

I'm guessing that's just typical Intel behavior requiring constant motherboard updates with almost every tik/tok CPU release?

And... when was the last time Xeon had a 2/4 core?

I love building PCs and haven't bought a pre-built system ever in 30+ years. That said, thankfully, for inexperienced folk there are innumerable videos on YouTube explaining each step of the process.

I admit I sometimes watch these videos to see if there are any new tips/tricks/secrets that builders have figured out for e.g. working with a new case and getting all that wiring done correctly.

Do they though? Do we have any history of Embracer's policies and what happens to IP purchased by them? Are they "just" buying up IP/games in order to make more money by reselling the rights to use the IP? What's really going on over there?

I'd start with VITL14 and add one or more RN types. I personally like to use multiple VIT and RN models just to fill up VRAM. What exactly will fit depends on your output resolution and requires a lot of trial and error. I always have Task Manager open to monitor VRAM usage. In general, VIT = more realistic, RN = more artistic. It can take a lot of experimentation to find what exactly tickles your fancy. I constantly change which models I'm using depending on what I'm going for. This redditor did a nice comparison[0], and there are many more "studies" for which models to use - you can google around, there are new articles/studies being posted daily.

You can also try disabling use_checkpoints if you have extra VRAM, since it will render a bit faster (but uses more VRAM since it doesn't save intermediary 'checkpoints' to disk).

When/if you get bored, try disabling use_secondary_models which will use a lot more VRAM but can deliver results on a completely different level. You will likely struggle for a few days figuring out which parameters to tweak to get good results (e.g. tv_scale, sat_scale, etc, which are otherwise AFAIK ignored).

In any case I recommend reading A Traveler's Guide to the Latent Space, which I call "The Bible" since it covers so many topics and has links to various studies and will keep you busy reading for months ;)

Also check out the Discord for Disco Diffusion and Visions of Chaos, as you can read endless tips and tricks to getting amazing results.

Have fun! :)

[0] https://www.reddit.com/r/DiscoDiffusion/comments/t7p4bi/seas...

[1] https://sweet-hall-e72.notion.site/A-Traveler-s-Guide-to-the...

Welcome to the party! My first image was also a total failure, it can only get better from here ;) Prepare to spend a lot of time reading before you start to make sense of things.

Are they giving out trials without an invite now? I was invited from someone who was paying, became addicted by the end of my trial, subscribed for a month, then gave out invites to friends, some of which ended up also paying - not a bad business model! It was bad timing though, the day after I joined, I discovered Disco Diffusion and haven't stopped rendering since (roughly 10k images rendered, mostly for animations). It takes longer, the results are often less realistic compared to Midjourney, Dall-E (1/2) or Stable Diffusion (which I've been toying with for a few weeks), but it's somehow much more satisfying having to wait xx minutes for a render to complete, running on your own local PC, not having to use bots with 1000 other people in a channel spamming their prompts, and having TONS of parameters to play around with. I have a google drive full of docs from my own studies, comparing parameter values, models, prompts, etc. I'm really looking forward to Stable Diffusion releasing their models, I know VoC will add those models as soon as they are available. On top of that, VoC has been adding support for diffusion models (of which I'm training my own), but there are new ones added constantly as more and more people build models for e.g. pixel art, medieval style, monochromatic, etc.

Also the results vary drastically if you have enough VRAM to load more models e.g. a 3090 (24GB) or an A6000 (48GB). I've been saving money and waiting impatiently for 4090s to drop. Check out the Disco Diffusion or VoC Discord - people post their works in there and often you will see results that make you wonder if they're cheating ;)

Well there are 2 types of models, CLIP and diffusion models. With VoC, Disco, etc. latent diffusion, you pick multiple CLIP models and a single diffusion model. The CLIP models are the big gigabyte ones like ViT and RN, and you can use CLIP search engines that search on the LAION datasets to give you a rough idea what will happen when you use those words in your prompts: https://rom1504.github.io/clip-retrieval

I will otherwise refer you to the "Bible" of latent diffusion: https://sweet-hall-e72.notion.site/A-Traveler-s-Guide-to-the...

Whatever isn't covered in there is probably in the Disco Diffusion cheatsheet: https://botbox.dev/disco-diffusion-cheatsheet/

There are tons of resources out there, and it's a nonstop learning and experimenting process to try to achieve what you want.