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Stable Diffusion 3 API Now Available

246 points| roborovskis | 1 year ago |stability.ai

61 comments

order

MyFirstSass|1 year ago

- Models will be released

- Free to use for non commercial projects

- 20$/m subscription needed if project has less than $1m annual revenue or <1m users

- Undisclosed "Enterprise" subscription needed for projects larger than above

To me the $240/y sounds pretty awesome for a smaller commercial project, and i like they've set the threshold pretty high up.

But still don't like "undisclosed" black box enterprise pricing though when they're running their own API, because it basically means they can tax you to death if you build a service that competes with their API right - so in effect only viable to create small companies with this tech?

wongarsu|1 year ago

> so in effect only viable to create small companies with this tech

I assume stability wants to be in the role of building AI models not applications, so if you provide a clear and nontrivial value add beyond their API you should be fine. If you build a tool that allows architects to make their building renderings more lifelike by adding realistic crowds, vegetation, storefronts etc right from the comfort of their existing tooling it's in Stability's interest that you are successful. If you only resell their API but in green they might not be as invested in your success.

CharlesW|1 year ago

> …they can tax you to death if you build a service that competes with their API right…

I'm curious why that'd be a concern, since building a service that effectively just resells an API isn't a viable business model.

Lacerda69|1 year ago

What SaaS company discloses their Enterprise prices?

ranit|1 year ago

> But still don't like "undisclosed" black box enterprise pricing though when they're running their own API, because it basically means they can tax you to death if you build a service that competes with their API right - so in effect only viable to create small companies with this tech?

"undisclosed" doesn't imply changing the price after it was negotiated with you. It just mean they will negotiate the contracts for large projects, without disclosing the terms to the public ... in my view.

theolivenbaum|1 year ago

*under $1m annual revenue and <1m users

dheera|1 year ago

Seems ripe for a "project sharding" platform that splits your project into multiple identical backend projects that each have <1M annual revenue and <1M of your users.

Would save you from the unnecessary calls and coffee chats, you just pay N * subscription fee and get on with your life.

You could probably also use part of the revenue to buy treasury bonds and automagically pay the subscription fees, and it would be a closed intervention-free system.

BaculumMeumEst|1 year ago

I'm still goofing around with stable diffusion 1.5 based models. It has such a vibrant open source scene and it's free for commercial usage forever so.. I'm not really interested in V3. I guess corporations might be or whatever?

etaioinshrdlu|1 year ago

The enterprise subscription costs $120k/year. You might be able to haggle it down.

the_duke|1 year ago

This Reddit thread from someone with early access has some sample images: https://old.reddit.com/r/StableDiffusion/comments/1c2je28/i_...

Maybe the early access beta was limiting the available resources, or they used bad settings, bud juding by that thread it looks like the model got worse during training or the earlier examples were quite cherry-picked.

wongarsu|1 year ago

To be fair, this has been my initial impression with basically all image generation models. The current generation is finally at the point where throwing untuned prompts at untuned models gives good results, but those never match the results of finely tuned (positive and negative) prompts with parameters adjusted from experience; ideally with model fine-tunes added.

If you want the best results there is still skill and work involved. Consequently a showcase by people experienced with the model far surpasses what you get when you shout prompts over the internet for somebody else to try

GaggiX|1 year ago

The real value of Stable Diffusion models are the finetuned models when the base model is released.

airstrike|1 year ago

I didn't think those were bad at all

butterchaos|1 year ago

Those are shockingly bad.

I am sure someone will tell me there is a reason why I am wrong and these aren't that bad.

Midjourney has never needed an explanation though with words. The proof is in the output. Everything else is nonsense.

panki27|1 year ago

"In keeping with our commitment to open generative AI, we aim to make the model weights available for self-hosting with a Stability AI Membership in the near future."

Does this mean that SD3 will not be available from Huggingface etc.?

accrual|1 year ago

I've noticed some models on Hugging Face require an extra layer of terms acceptance, like a EULA. Maybe it'll be like that? Otherwise I'm guessing they want one to make a dedicated Stability AI account, accept some terms, and then enable the download.

perstablintome|1 year ago

I stumbled upon a thread debating whether SD3 will fully replace SD 1.5 and SDXL, or if it will still have trade-offs for different uses.

Context: Stability is cutting out thousands of artists for "safety" reason, which means billions of images won't make the cut. I wondered how much the model will be nerfed in terms of nudity, artist names, and the like, and whether these issues can be resolved with some fine-tuning.

Since I still don't have access to SD3, I'm compiling a list of all the Stable Diffusion 3 generations out there. I managed to scrape this info from Twitter using their premium API (which cost me a Benjamin!). I manually curated the images to ensure they are indeed SD3 generations and made it searchable.

In case someone finds it useful, it's available here https://sd3.art/

spywaregorilla|1 year ago

Doesn't really matter. If the model is generally more capable and released, then it's trivial to teach it a few more things.

zone411|1 year ago

I ran the same quick prompt adherence and composition test on which ImageFX by Google surpasses DALL-E 3 by a bit (https://www.astralcodexten.com/p/open-thread-315/comment/493...):

1. "A stained glass picture of a woman in a library with a raven on her shoulder with a key in its mouth"

2 out of 20 tries

2. "An oil painting of a man in a factory looking at a cat wearing a top hat"

First try

3. "A digital art picture of a child riding a llama with a bell on its tail through a desert"

0 out of 20 tries

4. "A 3D render of an astronaut in space holding a fox wearing lipstick"

2 out of 20 tries

5. "Pixel art of a farmer in a cathedral holding a red basketball"

First try

So about even with these models and much better than previous versions of SD. Better than Midjourney v6.

Kerbonut|1 year ago

You're essentially mixing units. "2 out of 20" does not match with "first try". I would have liked to see you run all of them for 20 and added comments in addition like "this got it right on the first try", which could also have been luck. I mean if it got 1 out of 20 but happened to get it right the first try, is that better or worse than 2 out of 20?

rsynnott|1 year ago

> "A 3D render of an astronaut in space holding a fox wearing lipstick"

... Who's supposed to be wearing the lipstick, the fox or the astronaut?

poniko|1 year ago

Big jump in price per generation and now is in line with dall3. So is the model 20-30 times more gpu intense or did they decide to finally make money?

jsheard|1 year ago

After that report a few weeks ago saying they literally can't afford to pay their AWS bills I would guess it's the latter.

https://www.forbes.com/sites/kenrickcai/2024/03/29/how-stabi...

> By October 2023, Stability would have less than $4 million left in the bank [...] Stability was "underpaying AWS bills for July (by $1M)" and "not planning to pay AWS at the end of October for August usage ($7M)." Then there were the September and October bills, plus $1 million owed to Google Cloud and $600,000 to GPU cloud data center CoreWeave [...] Stability was on track to lose more money per month than it made in an entire year.

apetresc|1 year ago

> In keeping with our commitment to open generative AI, we aim to make the model weights available for self-hosting with a Stability AI Membership in the near future.

This is new, right? All previous releases as far as I can tell were just released on HuggingFace. Does this statement just imply something about licensing for commercial usage, or are they pretending that by gating the download behind a paywall that will somehow require people to buy memberships to get the weights?

__loam|1 year ago

I thought stability was disintegrating after burning through most of their capital.