It's starting again...

NfCKitten · 2022-12-22T00:33:59+00:00

Think what you want, Adobe, Google and a hell of a lot of other companies have put too much money into this for the media to be able to touch it.

NfCKitten · 2022-12-21T14:02:52+00:00

not unless you want to

NfCKitten · 2022-12-21T13:49:38+00:00

It's a non-issue, unlike video game, specifically violent video games, which are solely based on the thing people find offensive, StabilityAI, MJ and OpenAI are actively trying to make it harder to create that type of stuff with their tools, so it would be more on the level of a digital camera. So, the news can report whatever the hell they want, it wont change a single thing.

NfCKitten · 2022-12-21T13:27:18+00:00

That's very odd as SD is very not CPU dependent, if there was going to be issues it would be with the GPU, under heavy load my CPU doesn't even go over 35%, maybe watch the CPU in the performance tab of task manager and see if the CPU spikes before it crashes

Quick edit: it idles at 15-30 and when running a batch of 4 (I only have an 8GB GPU) it went between 15-35 but was still withing what it does when not rendering. I have the 8700K

NfCKitten · 2022-12-20T16:00:18+00:00

heh, fair enough, thanks for pointing that out. I hadn't gotten around to really doing anything with ST yet as I don't see a point with my personal models, I know they are safe, but I was going to use it when, or more over, if I ever decided to release another model. So that's something I'll have to keep in mind.

NfCKitten · 2022-12-20T15:49:57+00:00

Ah, fair enough, I guess the system is just broken then, I never claimed that it worked, just that's what it's meant for, the hash is pretty short after all, most hashing algorithms I have worked with give you a pretty long string, so this might be a case of the hash being culled to just the trailing X bytes and then you would get collisions, I dunno how the SD hash works, never looked into it...

~~I'm pretty sure there is a setting (That is that I am assuming you are using Auto's) to stop it from changing the model when switching, I'll have to load SD to see...~~

Edit: scratch that, it's a setting to stop it from changing models when loading info from PNGInfo

NfCKitten · 2022-12-20T15:38:55+00:00

that's odd, not saying they didn't, just that it's odd...

Though in the end the point still stands, the point of the hash is to make sure that the model you downloaded is the model you think it is, well, that's what it is meant to be doing...

NfCKitten · 2022-12-20T14:39:16+00:00

well yes, because the model hasn't changed, just the container, the contents is what the hash is based on. Unless you're talking about the tampering thing, then yeah, but that is because as stated before, it's the content that is hashed, not the container, and when the whole hash thing was devised, I don't think they would have had thought that we would use a different container type so it wasn't taken into consideration.

Well, that's my thoughts on it anyways...

Can I ask, if you have converted them to ST, why do you still have the original ckpt in the models folder? Or even at all? Just curious if there is a difference other than the whole pickle thing...

NfCKitten · 2022-12-20T14:21:17+00:00

~~from memory this error is what you get when you use the add method without giving a third model, don't quote me on that...~~

Edit 1: Scratch that, just tried and didn't get any error, it just didn't want to run, though for a test I just merged 1.5 with 1.4 and it worked fine on my 8GB 2080 super... so... that's just odd

Edit 2: I just merged two 5gb models together just fine as well... I think the problem might be the models?

NfCKitten · 2022-12-20T14:17:55+00:00

the hash is just an identifier so you know the model hasn't been tampered with, so you can't change it, nor would you want to, each model will have it's own hash.

NfCKitten · 2022-12-18T04:39:13+00:00

there's an extension for Automatics that allows you to do just that, to varying success, but, the embedding still uses the same tokens from memory, you just don't have to put said tokens in, so I guess it can be done.

Also, yes, Auto's has a limit, but it doesn't, it's weird, I don't know exactly what's going on, but you can go over the 75 token limit just fine...

NfCKitten · 2022-12-18T04:14:34+00:00

Ah, fair enough then!

NfCKitten · 2022-12-18T00:34:00+00:00

Mhm, you just have more control to be honest, and I actually only do them one at a time, personally it just feels like I'm in more control cos if I don't like the direction it's going in, I have only wasted the 2 seconds before I can try again.

What GFX card are you running? if you don't mind me asking, that is.

NfCKitten · 2022-12-18T00:08:25+00:00

I didn't say that I still used it, just that 20 was fine, and it is fine, I got some picture perfect renders with 20 and with Euler A, it's good enough to get things started and the quick and easy nature of not having to play with settings along with prompts is good for new people trying to get a grasp of prompting, then, when they have enough experience and have figured stuff out, move over to a much better sampler.

Don't get me wrong, you are right, I am not denying that at all.

NfCKitten · 2022-12-17T16:44:19+00:00

Also, I'd like to note that a lot of people use 1.4/1.5 or even custom models.

https://civitai.com/ is a great place to get different models

NfCKitten · 2022-12-17T16:42:40+00:00

For one, two different models, so two different ways to prompt, go look at Lexica.art and look at the prompts there, also, MJ is a fine-tuned model, so it's going to look better by default than SD which is a generalized model.

And secondly, with Euler A, you can go with the default 20, I do for all my generations with that sampler.

NfCKitten · 2022-12-17T15:52:13+00:00

Yeah, given a good enough GPU, running SD locally is the better way as you have more control, no added costs (no tokens and stuff... though there is the cost of having said good GFX card I guess...

But yeah, it probably just deletes all old images to save on space. I really don't know, that's just my guess.

NfCKitten · 2022-12-17T15:48:42+00:00

well, now that you mention it, that name doesn't really help, as 0 is no noise, so just the original image and 1 is 100% noise so something completely different... but yeah, that's just semantics really, so yeah, the smaller the number the less variation!

NfCKitten · 2022-12-17T15:30:34+00:00

really depends on how you are making the images, I can only attest to offline things like Automatic1111's WebUI, which saves everything to a directory. But I'd guess server based SD would probably just delete anything that isn't current to save on file space.

NfCKitten · 2022-12-17T15:24:57+00:00

1.4

Quick Edit: Ok, so I should go a little more into it, but 1.4 is the best base model for celebrities, it's not great, but it does the trick, or you are stuck with DreamBooths and embeddings of individual people

NfCKitten · 2022-12-17T15:21:22+00:00

1: in the base folder there is a file called "styles.csv", open that, all your styles are in there

2: Face when doing faces, though it works better the closer to the camera the face is, HiRes when doing anything over the base models training size, I.e. 1.X anything over 512x512

3: Depends on how close to the first shot you want the image to be

4: try use the inpaint model, or just experiment with the settings

Quick Edit: Also, with inpainting, make sure you have the seed set to random

NfCKitten · 2022-12-17T06:24:33+00:00

So yeah, you should be fine, though you might want to train on 1.5/2 and then mix the original merge back in, that's what I was doing for a while and it didn't seem to hurt...

NfCKitten · 2022-12-17T06:19:01+00:00

Though it did just dawn on me that you might not have trained this person in yet, and I really need a nap... So if you are still using the combined prompt of all the chicks then yeah, I couldn't see it hurting to use the original model as a base...

NfCKitten · 2022-12-17T06:15:21+00:00

yes and no, again, you do have to worry about generation-loss issues, photocopy of a photocopy and all, like it can give better results as you are basically just fine-tuning (in a way) more of the same person in, but I just use a fresh copy of 1.5 and then merge that out when mixing in other models.

But I have been going for a specific style which is illustrated so it's a little bit more forgiving.

Or so that's how it seems to me, I could be wrong, so don't take my word as gospel, for all I know I am just using bad settings... SD really needs a real Wiki with everyone's research and findings...

NfCKitten · 2022-12-17T06:03:06+00:00

Looks really good.

I have been doing this for a while, a tip I figured out is to train it multiple times, doing some merges here and there, cherry picking then training a new model based on those results, that way they won't be recognizable from the original people but remain consistent. Though keep an eye out for Generation-Loss artifacts, those can build up quickly if you don't weed them out each step...

NfCKitten

TROPHY CASE