What do mean? Which part is the bad omen?

Perhaps it’s two celebrities in the same prompt? The assumption may be that if they are both there, then you may be depicting those famous people as doing something together, which could be a big red flag.

The training is happening on the server side, by the dev. Many model creators refuse to use celebrities and famous people as part of the training data (with a common exception for public figures) for their models. However, there is no rule about creating databases of these images and then using them to train models that you host. That’s what the training is for, to fill in the gaps that are in the model.

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Refer to these notes if you want some more info.

What you are referring to is known as “training”. Training is the process of showing the AI model thousands upon thousands of images. These images come from curated datasets. Each image is accompanied by some text that describes in clear terms exactly what is in each image. The AI model analyzes each image, compares the image to the text, then stores the data for later use. The more images and text, the more the model will understand. The more the model understands, the better it will be able to use the data it has.

Currently, the model is in training. As training continues you will see the image generator steadily improve until it understands what the old model did.

Perhaps my analogy wasn’t very good?

Flux is a dramatically better image gen model. Most consider it better than SDXL, yet still lightweight enough (with a bunch of optimization) to run on the limited resources the dev can afford. When the training is complete, this model will be far more capable then the old one ever was, but the training needs to finish for it to get better.

I’m sorry you are having trouble with this, but a large number of people have complained about the quality of the old model, yet there is no way to fix those issues without upgrading the model. Now that the old model is being replaced, all many people can do is complain, rather than be thankful that the dev is working hard to give us a better model.

To use a loose analogy, that’s like getting a new (much better) car and calling it worse than the previous one because the fuel tank hasn’t been filled with gas yet.

Training is the bread and butter that makes an image generator work. It is the reference data that it pulls from to create images. Without it, there is no “fuel” for the engine to run, so the results will be sub-optimal.

And, again, training is an extremely GPU intensive process. The fact the dev is able to run the training data and still support image gen at a usable level is pure wizardry.

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Of course it isn’t a coincidence. That is the entire point of the training! Training will literally improve the output quality as it is fed more data on different styles, celebrities, artists, etc. this model does not include everything, and that was for a reason. The dev is attempting to run this model on very limited resources, so they loaded the base model (not to mention, many of the popular/new models are deliberately excluding data on celebs for fear of lawsuits). So, it’s going to need training because it needs to be very carefully trained in order to keep memory and GPU usage down.

So, no, you are not going to make the hardware work faster.

How do you expect both to be hosted? That would be double the resource usage, double the cost. Not to mention, the actual training (which is still running and will continue for the next month or so) will dramatically improve results and consistency. It simply doesn’t have all it’s data yet. Until then, it’s going to have some issues, but it will get much better.

Ah, thanks. People have been so angry about the new model lately. I’m just trying to get this information out there.

What do you mean? It’s useful information.

I’m willing to bet the training data for those tags simply hasn’t completed and/or hasn’t started yet.

Quote from the notes you can find by clicking the little link that appears when you are generating an image:

This new image model is still training. It’s currently worse than the previous one at some things. It’ll steadily improve in quality and gain new knowledge over the next few months.

MONTHS

Training takes a long time and a lot of the GPU power on the hardware this model runs on (part of the speed issue). It is getting better as more training data completes, but please be patient.

Quote from the notes you can find by clicking the little link that appears when you are generating an image:

This new image model is still training. It’s currently worse than the previous one at some things. It’ll steadily improve in quality and gain new knowledge over the next few months.

MONTHS

Training takes a long time and a lot of the GPU power on the hardware this model runs on (part of the speed issue). It is getting better as more training data completes, but please be patient.

In other words: you are not imagining things, it will get better. Hopefully everyone can just calm down and be patient.

Quote from the notes you can find by clicking the little link that appears when you are generating an image:

This new image model is still training. It’s currently worse than the previous one at some things. It’ll steadily improve in quality and gain new knowledge over the next few months.

MONTHS

Training takes a long time and a lot of the GPU power on the hardware this model runs on (part of the speed issue). It is getting better as more training data completes, but please be patient.

You’re not a customer. You’re a user of a free service provided as part of a larger service.

The site? Image gen is just a plugin on the site. It’s a site for creating generators, which are small programs and pages for creating various randomized content. Image gen is a plugin that can be imported into a generator.

I don’t understand how changing one plugin has ruined the whole site.

What’s wrong? Did something with generator creation break? I’ll admit, I haven’t been here very long, but it all seems pretty cool to me.

From what I can gather, the dev doesn’t like interacting very much. This is something that they do in their spare time as a fulltime dev. They created the perchance platform first and foremost as a way for people to learn code and web development. The AI was always a side feature.

There has also been a lot of grumbling in the perchance community (both here, in the comments of various generators, on reddit, and on the Discord server) about the quality of the previous image generator (plus plenty of feedback via the feedback tool, I’m sure), so it isn’t really a surprise that he/she finally made the switch to a new model after stating that they planned to in more than one post here in this forum.

In addition, I didn’t see anyone (before the change in model) praising the old one… only complaints about the quality, resolution, coherence, etc. Now that a new model is in place, suddenly many people have lots good things to say about the old one.

Bottom line, this is a completely free, uncensored, private, and unlimited service that the dev was kind enough to gift to us. I’m certainly not going to complain when I don’t even know what the final outcome is going to be yet.

You know, a lot of the trouble could have been avoided if people would simply read the notes about the change and have a little patience. It says right in there that the model is still training, so it literally doesn’t have all the data needed to make images similar to the old one, yet. It’s starting at base settings and parameters, so expect a lot of strange variance and “sameness”.

For those wondering why we can’t have the old one as an option still, the answer is simple: memory (RAM). These image models don’t spin up instantly, so they need to remain loaded in memory in order to field requests. To have the old one running at the same time would mean effectively doubling the resources required when the dev is already running on a shoestring budget supported entirely by ad revenue. It’s either one running or the other. In order to train the new model, it must be running, which means the old one can’t run at the same time.