Tailor-made AI image generation | Hacker News Reader

Tailor-made AI image generation

strmr.com

Neat concept. Although I do think the homepage could maybe be improved. The main thing is it contains pretty minimal and vague information which makes it harder for people understand the product.

Also, when it says tailor-made does it mean that there is a human prompt engineer tuning the images for you? Or does it just mean that the AI generated images are custom, but there's no human prompt "tailoring" done for you?

Indeed we're working on that and explaining the technology behind is one of the things we're working on. Currently we're training a Stable Diffusion image-generation model, to the custom images that the user provide so that he can generate images of his specific subject consistently. This relies on a paper by Google called Dreambooth. So thank you mainly to Nathaniel Ruiz

Hi all, great to see someone posted our service :) We started working on this 3 weeks ago and are having real fun with the response. People are creating amazing stuff, and doing great experiments.

Yep, I've had fun with this service. Simple to use, quick and decent results. I exported the checkpoint and used with colab notebooks.

How did you export the checkpoint? I don't see this option anywhere..

there is a download link in the fine-tune page

Also I cannot find anything related to pricing.

Well, the “trial” tried to charge $3 so I quit

Do you have a Discord server?

Text Inversion as a Service?

Yep, that's exactly what it is. I can vouch that it really works. Pricing is $3 to run a fine tune, and then generations are "currently" free and unlimited.

I dig it, because I couldn't be bothered to run a colab notebook, but it is super-fun to play with.

What is the value add compared to other free alternatives?

We're trying to streamline the process and explain it. Running the infra for this is hard. We are running on expensive A100 machines which are not easily available and not part of Google Colab infra. There are lots of hyper-parameters one could toy with, and we're trying to hide those and give optimal results automatically. Obviously this could all just be the start of it, and we might continue to develop on different directions where we see it's most fun :)

This seems possibly almost perfect for me as an API but I can't use it for my service without knowing what the pricing will be for generation after the model is trained.

Like I can't launch with the assumption that will stay free forever unless you really pro.ises that, and can't know if it is feasible to use this instead of setting up everything myself on Google Cloud without knowing that pricing.

$3 sounds pretty good for the training though. How long does it take? Also so you have an option for using a different number of instances to train faster (for more money)?

Hey @ilaksh Let's talk over email. We have a lot of different options and details re the API that we're still considering and trying to improve with our partners

We're relying on Google's Dreambooth paper which differently from Text-Inversion, it does full model fine-tuning. This should help achieve higher fidelity results if you're trying to replicate the distinct features of your subject

great service. can recommend :)

Reply on news.ycombinator.com