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Show HN: Stable Diffusion v2 web interface

getimg.ai

31–40 of 51 posts

Re: Show HN: Stable Diffusion v2 web interface

#31
post #3

Shameless plug - We don’t require logging in! https://app.gooey.ai/CompareText2Img/?example_id=1uONp1IBt0Y

But do you allow high res nsfw Emma Watson prompts?

I can't wait for the morally concerned to rail against Stable diffusion once they find the /b/ threads and AI is going to get locked down... Its going to happen. "This AI tool enables sick PREDATORS!!"

Re: Show HN: Stable Diffusion v2 web interface

#33

Great project! I have a question - how can you afford to run this? I looked at the server costs on google compute and runpod.io, and the ones with GPUs powerful enough to run SD are pretty expensive. I'm guessing you don't have a lot of paying users at the beginning, so I don't think you have enough revenue to cover the costs (at least when you're just getting started). Do you just spend a lot of money to fund this,…

At the beginning it was just burning money, but it stars to turn into profit.

The only secret to making it affordable is to autoscale based on a current image generation traffic. It runs on a mix of Tesla V100 and RTX 3090 from runpod.io vast.ai and Lambda Labs.

I actually went through a couple of iterations with it, starting as completely free service, then offering one time payments for image credits and now settled on subscriptions as I see there is a demand for the product. Especially AI Editor[1] which I think offers a unique value to the users.

[1] https://getimg.ai/editor

Re: Show HN: Stable Diffusion v2 web interface

#34
post #33

Great project! I have a question - how can you afford to run this? I looked at the server costs on google compute and runpod.io, and the ones with GPUs powerful enough to run SD are pretty expensive. I'm guessing you don't have a lot of paying users at the beginning, so I don't think you have enough revenue to cover the costs (at least when you're just getting started). Do you just spend a lot of money to fund this,…

At the beginning it was just burning money, but it stars to turn into profit. The only secret to making it affordable is to autoscale based on a current image generation traffic. It runs on a mix of Tesla V100 and RTX 3090 from runpod.io vast.ai and Lambda Labs. I actually went through a couple of iterations with it, starting as completely free service, then offering one time payments for image credits and now settle…

That's amazing, thank you for sharing!

If not a secret, how are you marketing it?

Re: Show HN: Stable Diffusion v2 web interface

#35
post #33

Earlier quoted context omitted.

At the beginning it was just burning money, but it stars to turn into profit. The only secret to making it affordable is to autoscale based on a current image generation traffic. It runs on a mix of Tesla V100 and RTX 3090 from runpod.io vast.ai and Lambda Labs. I actually went through a couple of iterations with it, starting as completely free service, then offering one time payments for image credits and now settle…

That's amazing, thank you for sharing! If not a secret, how are you marketing it?

I try to be everywhere, when I have free time from adding new features ;)

Re: Show HN: Stable Diffusion v2 web interface

#36

Great project! I have a question - how can you afford to run this? I looked at the server costs on google compute and runpod.io, and the ones with GPUs powerful enough to run SD are pretty expensive. I'm guessing you don't have a lot of paying users at the beginning, so I don't think you have enough revenue to cover the costs (at least when you're just getting started). Do you just spend a lot of money to fund this,…

On AWS, a g5 instance costs $1/hr. I can generate roughly 10 images per minute (should be able to get this down with some optimization), so 600 images per hour, so the cost per image is 1/6 of a cent, before adding overhead (idle time, start up/shut down).

Source: I run a similar project: https://synapticpaint.com/

I also offer dreambooth model training for around $2-$4 / model as well as inference on custom dreambooth models. Inference on custom models is where things get a little tricky because if users are using different models and you're loading up new models all the time just to generate 6 images, then that quickly becomes the majority of the work load, drastically pushing up the inference cost. I haven't solved this problem yet. If you have any great ideas, feel free to email me (email in profile)!

Re: Show HN: Stable Diffusion v2 web interface

#37
post #25

Great project! I have a question - how can you afford to run this? I looked at the server costs on google compute and runpod.io, and the ones with GPUs powerful enough to run SD are pretty expensive. I'm guessing you don't have a lot of paying users at the beginning, so I don't think you have enough revenue to cover the costs (at least when you're just getting started). Do you just spend a lot of money to fund this,…

Stable diffusion only needs 4GB of VRAM to run on the low end so you can rent low-end consumer GPUs (nvidia RTX for example) for around $0.10 an hour to do the renders.

Yeah, but that's only true when you use one model for yourself. More VRAM is needed for running such a service. It currently loads 6 models per single GPU. And I think I have some VRAM left to add even more.

Re: Show HN: Stable Diffusion v2 web interface

#39
post #8
post #5

Requires login. Saying that it requires login before someone spends time to think up a description for an image would have been nice (because I won't sign-in to try something anyways). Edit: rephrased to remove overly negative language.

I don't see this as baiting. The link to a tool page was shared. It's transparent on the homepage and in the header. The text to image page just shows how it works without the need to create an account.

I think this is the very definition of baiting.

Re: Show HN: Stable Diffusion v2 web interface

#40
post #38

Earlier quoted context omitted.

But do you allow high res nsfw Emma Watson prompts?

Doesn’t that just get you those completely black images?

One can deactivate the safety in the source files.

Commercial UI wrappers might or might not do so but should be up front about it.

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