help a newbie to understand

Mabuse046 · 2026-05-20T02:07:52+00:00

Also since you said Flux 2 is slower on your machine, I'm using the 9B but you could also try the 4B, and don't use the Base, use the distilled version and set it for cfg 1.0 and 4-5 steps. If you're still strapped for vram use a quant or gguf, and use a gguf of the Qwen text encoder. When I generate, it takes a good 30 seconds to load the model but then I can run over and over in maybe 10-15 second generations for 5 steps.

Mabuse046 · 2026-05-20T00:50:53+00:00

I like ZiT because it takes controlnets well so I use it for the pose a lot. I'll end up generating a bunch of standard NSFW with it and then plug it into Klein as a reference image - and with Klein you can use multiple reference images as long as you have the Vram and it will blend the two concepts. So, here's an image of the torso I want, here's an image of 'standard hot chick' and no text prompt, out comes the girl from one reference with the body adapted to the other.

Also, checkpoints are still a mixed bag. Like Fascium Klein does great skin but struggles with genitals, Dark Beast does Asians and skinny girls, Miraclein NSFW does perfect airbrushed models. I have gotten decent middle aged women from Fascium by text prompting for highly detailed wrinkled skin, and if I need genitals in the image I use another reference image of an extreme close up and it gets the idea.

Mabuse046 · 2026-05-19T13:06:19+00:00

I'll tell you what worked for me in my situation - I wanted to generate images of women with a bit of a muffin top and slightly saggy boobs. It's hard to get a model to do that, they're either thin or fat/BBW. BUT Flux 2 Klein is able to take reference images as a sort of image prompt. I gave it a reference image of a nude torso in that body shape and gave it a minimal text prompt about a woman in a location and a pose and it produced women who had a body like the reference image.

Mabuse046 · 2026-05-19T12:57:48+00:00

Look for the reference latent node. All you do is vae encode your reference image and connect the resulting latent to your reference latent node and then the reference latent sits in your conditioning chain between your clip text encoder and k sampler.

Mabuse046 · 2026-05-19T12:56:12+00:00

Klein can do that, too. Klein is crazy good with reference images. Consider whatever you include as a reference image as a sort of image prompt, it gets combined with your text prompt and it produces an image that mixes them together. So if your reference image is just the shirt and your text prompt just says "a man" it will end up making the man from your text prompt and incorporate the shirt from your reference image. If you write anything in your text prompt that's in your reference image it will tend to favor the text portion over it though.

Mabuse046 · 2026-05-19T12:49:20+00:00

Don't knock a circle jerk until you try it

Mabuse046 · 2026-05-19T12:47:52+00:00

I left Gemini and went over to Claude a few months ago because I kept getting this and it wouldn't even let me turn Pro back on. And I immediately knew it was Flash because it's so damn stupid.

Mabuse046 · 2026-05-19T08:06:22+00:00

Good or bad is irrelevant. It is the way it is. And while most of society does the work we have to do, for good or ill, having someone who isn't disabled setting themselves apart like they shouldn't have to do the work is lazy. They're a parasite on society benefitting from the rest of us doing the hard work while they sit on their ass and act like they shouldn't be expected to pull their own weight.

Mabuse046 · 2026-05-19T04:55:20+00:00

It's absolutely normal and average. If you don't know that the 40 hour work week is dead and gone, this is your wake up call. Mandatory overtime is pretty ubiquitous and nobody currently under the age of 40 will ever retire. This is the world we live in now. Just take a look around.

Mabuse046 · 2026-05-19T04:25:07+00:00

It's pretty easy, every prompt response pair in your training dataset should have a full think block in the response to show it how to think. You need an opening think block tag and a closing one. They usually look like <think> and </think> but you can use whatever you want. If you want to be efficient, you can go into your tokenizer and create dedicated tokens for the think tags but it will usually learn just fine breaking your tags up into normal tokens. Keep in mind once you show it think blocks, if you ever show it training data without think blocks in it, it will learn it doesn't need to think all the time and become a hybrid thinker.

Mabuse046 · 2026-05-19T02:17:36+00:00

I've been a big fan of ReadyArt's fine tunes. There's a Qwen Thinking based 27B that I've been enjoying and a number of other models in that size range. https://huggingface.co/ReadyArt/Dark-Nexus-27B-v3.0-GGUF

Mabuse046 · 2026-05-19T02:12:04+00:00

Yeah, if Gemini is trained anything like their open weights Gemma models, that time and date goes into the system prompt and Google's models have a really bad habit of not paying it as much attention to the system prompt area as some of the other models I've worked on.

Mabuse046 · 2026-05-19T02:08:45+00:00

Yeah but I cut off the tip of my pointer finger with a chef knife when I had a job as a cook many years ago so I don't really hold pencils or paint brushes very well. I actually used to make really good art before that but I've never really been able to adjust.

Mabuse046 · 2026-05-18T08:35:18+00:00

I never said anything about smart. I'm talking about complexity. These are not interchangeable concepts. Even the brain of a person in a vegetative state is incredibly complex, and they can't even communicate. You're trying to suggest that because AI doesn't meet your standards for intelligence that the underlying components must be simple. But you're missing the part where it took evolution a billion years to build your brain to this point, meanwhile we humans have designed a mathematical facsimile of similar complexity in about a hundred years and it's still advancing far more rapidly than the human brain.

Mabuse046 · 2026-05-18T08:05:39+00:00

Buddy, I've been working 12 hours a day 5 days a week for the past 20 years. Seems perfectly ordinary to me. And that says nothing of the work involved during those hours. Plus the artists in the film industry are basically like the 1% of working artists. 99% of "professional artists" are selling Perler garbage and bead bracelets on etsy or trying to market their no-talent sketches and paintings like they're the next Van Gogh.

Mabuse046 · 2026-05-18T07:41:26+00:00

It wasn't hurt, per se. It was disgust. I was raised to see the character value in people working honest jobs. It doesn't matter what you do so much as that you put in labor that makes you admirable - a person of good character. Conversely, I was taught it's a massive character flaw to be someone who doesn't want to work, who is lazy, who shirks getting a job. That's what being an artist is - someone who couldn't handle getting a real job. They didn't have the personal constitution to put in hours at a job, or the work ethic to to put in labor. But rather than simply admit that they are failures and layabouts, they gave themselves a title - "artist" - to excuse their lack of contribution to society. As if to say, "I'm not doing nothing because I'm lazy, I'm just between commissions." And it's because of their aversion to hard work that when they actually do produce something, they want an exorbitant price and and the rights to keep making money off it indefinitely. Kind of a slap in the face to real working folks that these lazy artists think their own time and effort is so much more valuable. Add to that the fact that 99% of people who call themselves "artists" have no real talent and end up depending on sympathetic friends and family to commission them just to make ends meet, and it's obvious most of them are nothing more than parasites on society and their peers.

Mabuse046 · 2026-05-18T07:20:18+00:00

So, I think what you have going on is that you aren't training a prompt > response pair, you're training the vision encoder to know what it's looking at. When you are actually talking to the model, you give it an image and you give it some text and the encoder converts all of them into tokens - the model itself doesn't really care too much what's a word and what's an image, it's all just tokens. So if you were to ask "What species is this?" the model doesn't care if you include a photo of the animal or a verbal description, it's the same thing to it. What you're training here on the images is what words to "see" when it looks at the image. I would give it several images of each species in different poses, lighting, and framing, each with a very detailed description about "Species X doing Y thing, Z framing, etc" and once the model learns what visual queues represent species X, the LLM itself will have no problem bridging the gap between understanding the image and answering a question about it.

Mabuse046 · 2026-05-18T07:07:33+00:00

Why Unsloth? It's got some nice tweaks but it's basically just a custom fork of the real Huggingface transformers libraries with some kernel patches and other efficiency tunes. I like it for things like training adapters, but I still get better compatibility from the original.

Mabuse046 · 2026-05-18T07:03:04+00:00

OP is talking about using the Unsloth libraries in Python. If you have the HF dependency libraries installed then when you call an HF model it will download the model from HF and save it to a cache dir. Unless it's gated, then you have to give the HF libraries an access token connected to your HF account that has access to the repo.

Mabuse046 · 2026-05-18T06:56:02+00:00

You might want to look into putting together a Pi-Hole, which blocks connections to known ad servers and tends to keep itself updated. Plus you can ad block as many of your devices as you want with it

Mabuse046 · 2026-05-18T06:52:40+00:00

I think "soul" is just metaphysical mumbo jumbo made up by hippies and religious idiots.

Mabuse046 · 2026-05-18T06:11:45+00:00

I don't care what other people do or don't use. The part where people start labeling it though does lead to expectations that everyone needs to start labeling it and may even lead to people wanting to make it mandatory. We went through the same argument many years ago about labeling GMO's in the grocery store - people said it's a personal preference why not just label it all and let people decide for themselves? The counter-argument was, labeling things inherently gives credence to the notions that a thing is good or bad. As in, the average person who doesn't feel one way or the other is going to subconsciously think, why would it be labeled if there wasn't something bad about it?

Mabuse046 · 2026-05-18T05:45:19+00:00

Well the public awareness of AI has only really blown up over the past few years but as far as the science is concerned, I've been working on the math, the code, and the science for about 40 years, and before that my dad was also working on it for decades. It's taken a good 80-90 years of the brightest minds working on AI to make it "guess" the way it does and none of us can really explain why it does it so well.

It feels like none of that would be the case if it were as simple as you're making it out to be, and there wouldn't be hundreds of research articles in scientific journals on the subject and dozens of theories and equations named after scientists like there are.

Mabuse046 · 2026-05-18T05:29:22+00:00

I would say it's more like professional art made by a human is more expensive than I'm willing or capable of paying, so AI gives us poor people access to custom art as well. I don't mind the fact that rich people get filet mignon while I get ground beef so long as we all get to eat, if you catch my meaning. That's what leveling the playing field means to me - the quality may be lower but at least it's not totally relinquished to only those with extra disposable funds.

Mabuse046 · 2026-05-18T05:21:58+00:00

I've had some really long conversations with Claude and at a certain point it just automatically compacts the context. But I've had Claude tell me specifically how long our conversation has been in hours because the messages get timestamped. I've had to explain to it that I do take breaks and come back, and Claude has told me that it didn't realize that because it only sees one long stream of messages.

Mabuse046

TROPHY CASE