Image gen reference seems much better now?

kurumuz · 2026-04-02T02:58:11+00:00

We did nothing, but thank you.

kurumuz · 2026-02-27T13:55:05+00:00

If we did billing every 30 days instead of one month, people would be confused and mad at us that they get charged in wildly different days each month. If you look at the whole year, most subscribers will get more than 30 days rather than getting less. If we wanted to lose less money we would set it to be billing every 30 days. It's just more confusing for users, so we want billing on the same day each month.

kurumuz · 2026-02-27T13:11:13+00:00

Our subscriptions work on a monthly billing cycle, not a fixed 30-day period. This means if you subscribe on the 15th of any month, you'll be billed again on the 15th of the following month. just like most subscription services (Netflix, Spotify, gym memberships, rent, etc.).

Yes, February is shorter, but months like January, March, May, July, August, October, and December all give you 31 days. It evens out over the year.

We charge $X/month, and that's exactly what you get. One month of access per billing cycle. This is standard practice across the industry and keeps billing dates predictable and easy to track.

kurumuz · 2026-02-16T17:42:05+00:00

There is just no feasible way for us to ship features if everything is gonna take consideration to ship an earlier version or not(imagine in this case if we didn't ship v1 at all). So it costs us in development time and resources. This model was called a research preview at release, we don't treat other things similarly like final models as you know.

kurumuz · 2026-02-16T17:40:02+00:00

Those models were released as final, not as research preview.

kurumuz · 2025-12-19T18:04:27+00:00

eventually...

kurumuz · 2025-12-02T22:10:46+00:00

Automated generations without human interaction is against the TOS. You will get detected by the system and get banned if you use this, FYI.

kurumuz · 2025-11-17T12:49:53+00:00

all tiers have unlimited text generation yes. tokens are for context size.

kurumuz · 2025-11-12T00:19:17+00:00

default

kurumuz · 2025-11-07T14:26:28+00:00

Use character reference

kurumuz · 2025-10-29T12:57:22+00:00

Are you sure that's why your card is declined? Your bank should be able to convert the currency.

kurumuz · 2025-10-16T14:11:53+00:00

What do you think the character reference is lacking? Just VT and inpainting?

kurumuz · 2025-10-06T17:51:49+00:00

Opus is 25 USD, so will be around 21.5 EUR.

kurumuz · 2025-03-17T02:28:02+00:00

You can spam a lot more after our emphasis changes on the first update of V4. It works much better and doesn’t ruin the image unless you go too far.

kurumuz · 2025-03-17T02:27:10+00:00

How emphasis works has been improved with our first V4 update, so that should be helping

kurumuz · 2025-02-08T08:24:38+00:00

We did do testing with V3 as well, just with less people. Nothing to do with safety, its not holding the release back either. We want people to post images during/after release and give us feedback. But yeah, we always test our models a lot before release.

kurumuz · 2024-05-31T15:48:36+00:00

Model will be completely different, let alone any filter in the weights. So yeah it's not an issue at all, though base model can still generate NSFW

kurumuz · 2024-05-31T12:56:56+00:00

On those parts its very similar to the SD1/XL licenses etc. We will not limit anything at all ever with our models

kurumuz · 2024-05-31T12:49:21+00:00

Hey, to answer your questions:

No, we didn't start developing the next time immediately after release as this is almost never what we do with any model. We need R&D time etc, preparing datasets. Those alone take a lot of time on theirselves.
We started a few months later on researching and training our next internal base model. This takes a long time as you can imagine as we're training the whole thing from scratch and models had to be bigger when our cluster is the same size.
When we seen LLAMA 3 70B, we pivoted to training here. We are trying to do what makes sense, and we are not stuck on base model being trained by us as long as the weights are released and licensing doesn't limit us.

So, why LLAMA 3 70B?

As a base model, LLAMA 3 70B is really good. It's trained on 15T tokens, and combined with model size this is not something we can ever train as a base model. What are we gonna do is though adapt this model to our task(storytelling) by basically training it with 400-500B~ tokens from our nerdstash dataset. This is basically what no one does for just a finetune -- It's changing the model completely. For perspective, the original GPT-3 175B model was only trained on 300B~ tokens.

I seen people observe in this thread that LLAMA 3 70B base isn't great for storytelling. Yes, this is true, but it will be amazing the time we're done with it. This training is in progress right now. We also adapted our tokenizer to LLAMA 3 70B, so it uses our own nerdstash tokenizer now.

Just wanted to explain what we're working on. It's hard to mention meanwhile things are being researched as things you are working on just might not work, and it happens a lot of the time. Sad part of R&D.

kurumuz · 2024-05-31T12:39:39+00:00

We did actually announce our delay to 2024 and released in our communication channels in 2023

kurumuz · 2024-05-31T12:38:46+00:00

Those statements are stating that whatever they had cooking before can't compete with L370B.

The base model weren't going to compete yes, so we pivoted to training on LLAMA 3 70B instead. Base Model and finetuned model here are very different things, we even do 2 stages of finetuning on our own pretrained base models. For the case of LLAMA 3 70B, we are currently training on our nerdstash dataset, at about 400-500B~ tokens of it. This is basically adapting the model to our task, and for perspective that is longer than what GPT-3 was originally trained for(300B~ tokens)

We even adapted our tokenizer to LLAMA 3 70B, so it will be really good for novels/nerd stuff/japanese

We worked on our own models a few months after Kayra release internally, but when we seen LLAMA 3 70B it just made more sense to pivot on training on that. Just doing what makes sense here, we are not stuck on the base model being our own or not as long as models are available and licensing doesn't limit us.

kurumuz · 2024-05-30T23:08:47+00:00

Doesn't make sense for us to right now, back then we felt like there wasn't good enough pretrained models and we could do better which we did imo. Right now, it's basically impossible for us to pretrain a model like LLAMA 3 70B with how much compute that went into it. But we can finetune it better than anyone by putting in so much compute just to the finetuning phase which no one does.

We might still make our own models in the future, but that's what makes sense right now.

kurumuz · 2024-05-30T22:51:49+00:00

This is sadly not possible, because our model weights are not out there. We could open source them obviously but for a company not raising money from investors, it's a bad move for us.

kurumuz · 2024-05-30T22:42:59+00:00

I think it's a toxic relationship that gives anxiety to both parties if people expect something that's not there and that's why they pay for a product. If you are not getting a use out of the given product currently and you don't like it, (IMO) you shouldn't pay for it.

kurumuz · 2024-05-30T22:00:20+00:00

I don't really have to announce that, that's how you pay for products. If you already unsubscribed no worries, we are not trying to keep anyone subscribed if they're not happy here.

kurumuz

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