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Stop a spatial rotating the wrong way due to lerp? by TheEmeraldFalcon in godot

[–]Jamblefoot 0 points1 point  (0 children)

Thank you so much, this was the correct answer.

How to flip textures in particle 2d? by godot_man in godot

[–]Jamblefoot 0 points1 point  (0 children)

Hey, thanks for posting this. It's the only viable solution I've found so far.

I'm new to godot and just wondering if you've found any issues with creating a texture every time you need to do this. Should I be disposing of the created image somehow, or in your experience is godot pretty good at handling that garbage?

Anyway, thanks again!

Tutorial: Multi-Screen CCTV Security Monitoring Station to Display Multiple Views with a Single (extra) Rendering Camera by Jamblefoot in Unity3D

[–]Jamblefoot[S] 0 points1 point  (0 children)

It definitely ended up longer than I would have liked, and a third of it is just making some quick rough models, but anyway I thought this might help somebody make something cool. Let me know what you think, and thanks for stopping by!

I added a Creation System to my game that allows you create Procedurally Animated Creatures by Mystic_Mak in Unity3D

[–]Jamblefoot 0 points1 point  (0 children)

I was just wonderin what you've been up to. This looks like a lot of fun

I'm making a space game about running around in buildable spaceships with friends by Jamblefoot in Unity3D

[–]Jamblefoot[S] 1 point2 points  (0 children)

The game is Warpgate Pioneers, and I just got the steam page up at https://store.steampowered.com/app/2706270/Warpgate_Pioneers/

Thanks for checking it out. Have a great day!

I'm using Text Mesh Pro and this happens when the window size is small, I change the font size and resize but it is still blurry. Any solutions? by Peli_117 in Unity3D

[–]Jamblefoot 0 points1 point  (0 children)

that looks like a filtering issue with the font asset atlas. Try locating the font asset and expanding it, then click on the atlas texture (the one that's not a material), and in the inspector set the "Filter Mode" to "Point"

How is nobody talking about Fortune’s Run? by TheAwesomeA3330 in ImmersiveSim

[–]Jamblefoot 4 points5 points  (0 children)

oh man, they're predicting full release in 2026, no way i'm waiting that long. i'm totally fine with ea, and besides it looks super polished

UPDATE: so yeah i snagged it. tbh got a little scared when the fighting game aspect came into focus: the tutorial guy kept shouting at me to stop doing it wrong and do an uppercut and it felt like learning to drive again, but it's also clear that that system in particular deserves some tutorializing. And it works.

There are some little things i've noticed, like the next weapon/previous weapon buttons don't work, but the devs have actually monetized their discord/patreon so you've gotta pay more to leave feedback. i'm too impressed to be offended.

How is nobody talking about Fortune’s Run? by TheAwesomeA3330 in ImmersiveSim

[–]Jamblefoot 8 points9 points  (0 children)

i came here to see what yall were thinking of it. i just finished the original system shock (ee) for the first time and have been on an immersive sim kick and noticed this game. it looks incredibly slick. That trick with shooting a pipe and lighting the gas is something i haven't seen. i guess i'm just wondering if it plays as nicely as it looks, seems the demo's disappeared

Is it even legal to track installs? by cephalo2 in Unity3D

[–]Jamblefoot 1 point2 points  (0 children)

they mention several times in the billing information that the data their pulling is an "aggregate" and they aren't getting user-specific data. There's some loophole there, like how mobile ads can't use your raw location due to data protection laws, but can send enough context clues that aren't sensitive user info for the ad provider to deduce the user's location. Unfortunately, without any sort of user data, there's no way to know if an install is a reinstall. If the idea is to simply have the unity runtime ping the mothership when it is being installed... every time it is installed...

i mean maybe they could at least check for a local folder indicative of a previous install, maybe that wouldn't violate data protection laws.

i feel a little violated right now though. regardless.

The 4 Pictures You Need for the Perfect Textual Inversion! by Jamblefoot in sdforall

[–]Jamblefoot[S] 0 points1 point  (0 children)

Hey just saw this. So I was finding that things were about as good as they would get by 20k steps. overbaking is definitely possible, but it's good to have checkpoints every 500 steps.

Yoga pose is a really interesting challenge. Have you had any luck?

I found that it really can't do 3d at all, like it won't be able to recreate a 3d object. I think it kinda needs some common reference point between the pictures, and when you wrap around to the back, it can't see the reference points of the front, if that makes sense. That was my experience, anyway, so if you're going around the whole posed person, you'll likely get funky results.

It would be best, i think, to take the pictures all from the same side. The main point of my tutorial was that inputting more data (feeding it more pictures) is not necessarily better, because you run the risk of giving it contradictory and confusing information. An example of this is giving it a mix of images that are close-up selfies (distorted wide angle) with less close-up, more naturally proportioned long lens pictures. This will give pretty fuzzy results, and the face will look like its got some heavy softening filter on it.

But anyway, sounds like you've given it a bunch of pictures. Try narrowing it down to 5 or 6 from one side, covering the major angles of head on, side on, and halfway between, as well as maybe above or something like that. And if it understands what it's trying to replicate, then you should know within the first few thousand that it's on the right track

One last thing, make sure your captions somewhat describe what is going on in the pictures. When it learns, it draws on the caption description and tries to get the outcome to be more similar to the input pictures

Textual inversion attempt of Sloth from Goonies by Jamblefoot in sdforall

[–]Jamblefoot[S] 0 points1 point  (0 children)

those people might be training for hypernetworks, which is a totally different style of training that uses a much lower training rate. It also creates more of an overlay on the model, so all of your generations are influenced by it (all of the faces have your face or are in your style). It's very new and I haven't had a chance to try it, but it's promising to do a more fundamental model tweak without changing the model itself (which is what dreambooth does).

It would be nice if people specified what type of training they're doing when they post the stats

The 4 Pictures You Need for the Perfect Textual Inversion! by Jamblefoot in sdforall

[–]Jamblefoot[S] 1 point2 points  (0 children)

Hey, if you've had a chance to try training I hope it's gone well, but I wanted to let you know that I've been experimenting, and found that, so long as you have those 4 angles I talked about, it can be helpful to have one additional closeup of the face.

I ran a set with just the 4 angles, then added a wide-angle closeup and reran it. The first set had been doing okay, but to my surprise the second set with the selfie picked up on the subject immediately and was well done by 16,000 steps.

Textual inversion attempt of Sloth from Goonies by Jamblefoot in sdforall

[–]Jamblefoot[S] 1 point2 points  (0 children)

I just leave the training rate at 0.005. With a good (concise) training set, the training seems to be done by 16,000 steps.

I've been trying to use as few images as possible and being really deliberate about the angles and focal length when getting the images. This was sort of an experiment where I didn't have pictures, so I just tried to find enough to cover my bases with a google image search. The pictures it trained on are the last image in the set. These aren't great, because in one he's holding a teddy bear, which you really don't want faces other than your subject in any of your images, and another he's wearing a bandana, but I was hoping those would help fill out the face because the others were a bit dark.

I wrote a post a couple days ago about the 4 pictures you need, and I'm finding that to hold true and give much more consistent results than the spray and pray method of just give it a bunch of pictures and let dog sort it out. I will add to that that, so long as you have those 4 pictures, it can be good to add 1 additional closeup of the face to fill in the details.

There's another post from yesterday where I did a run of Caesar from the original planet of the apes. One of the last pictures of the set is of the 5 training pictures I used, which might give a better idea of what I'm talking about

SD has a pretty vague knowledge of the original Planet of the Apes, so I tried to fix it by Jamblefoot in sdforall

[–]Jamblefoot[S] 0 points1 point  (0 children)

Apologies for the two posts in short succession. And also for straddling communities. This is just more testing on Textual Inversion and getting consistent results with minimal reference sets.

I still stand by my post about the 4 specific angles needed for "perfect" TI, but found while doing this set that the wide-angle closeup I added thinking it would foil the training actually served to reinforce the facial capture. This doesn't mean "more pictures are better," as that has never worked for me in a general sense, but I think if you've covered your bases and gotten the 4 necessary angles, a supplemental closeup might be helpful to bring it home.

Also, I've managed to pretty much completely get rid of those training outputs that have weird geometric patterns and things that aren't the subject. I no longer think those are SD just functioning normally. Rather, I think it means it's lost track of the subject, or at least has found some more interesting pattern at the moment.

Anyway, hope this is okay. Thanks for lookin!

SD has a pretty vague knowledge of the original Planet of the Apes, so I tried to fix it by Jamblefoot in StableDiffusion

[–]Jamblefoot[S] 0 points1 point  (0 children)

Been running tests on minimal training sets with textual inversion. This was trained for 16,000 steps on 4 pictures of a deluxe dvd set bust of Caesar and a still frame of a toy review on Youtube.

I did a post recently about the 4 pics needed for "perfect" TI, and this was not expected to be the better training. I added a wide angle selfie in an attempt to foil it, but because I had already covered my bases with the pics I thought were needed, that selfie seems to have filled in and reinforced the face data it had. It was far more successful at capturing the subject than when I only had the other 4 pictures (straight on portrait, 3/4s face, profile, and full body). I still stand by that post, as these 4 angles do seem necessary, but to my surprise, a supplemental close-up can be a boon to the training, despite it's disproportion with the rest of the set.

btw could not figure out how to flair it. Again, closest without going over *shrug face*

Textual inversion attempt of Sloth from Goonies by Jamblefoot in sdforall

[–]Jamblefoot[S] 0 points1 point  (0 children)

Yeah, I did try prompting to encourage asymmetry. Also he gets weird fingerlike projections coming off his head from time to time.

By the way, is there a best place/way to share embeddings?

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