this post was submitted on 02 Jul 2023
19 points (100.0% liked)

Stable Diffusion

4330 readers
53 users here now

Discuss matters related to our favourite AI Art generation technology

Also see

Other communities

founded 2 years ago
MODERATORS
[email protected]
19
Which interface are you primarily using for Stable diffusion? (self.stable_diffusion)
submitted 1 year ago by Zarxrax to c/[email protected]
24 comments fedilink hide all child comments
 

I was using stable diffusion a lot previously, but haven't really touched it in the past several months. I was wondering what interfaces people are using these days?

Automatic1111 still seems to be popular, and that's the one I am most familiar with. I know there are some others now though, like comfy, and I guess maybe invokeAI is still going?

you are viewing a single comment's thread
view the rest of the comments
[–] [email protected] -2 points 1 year ago* (last edited 1 year ago) (1 children)

The porn industry is doomed!

Edit: well I think the title of this post changed or my comment ended up on the wrong post so my comment is irrelevant lol

[–] 2dollarsim 1 points 1 year ago (1 children)

Not for videos, we are still quite a way from that yet.

[–] [email protected] 2 points 1 year ago (1 children)

yeah it was a joke. Doesn't look like it resonated well lol.

[–] 2dollarsim 1 points 1 year ago (2 children)

Haha it won't be a joke next week when the new text-to-video model comes out

[–] [email protected] 2 points 1 year ago (1 children)

With how unstable (lol) txt2img is, I don't believe a stable enough for porn txt2video model is coming soon.

[–] 2dollarsim 1 points 1 year ago (1 children)

I would agree, but the rate of innovation in AI is so unpredictable that it could go either way.

[–] [email protected] 1 points 1 year ago

I don't really agree.

Recent AI inovations are pretty modest and use the innovation of raw fucking power to achieve goals.

Gpt4 uses 230B parameters, whereas to run a 7B LLM you need 16gb of vram already, and llms are o(n²) in complexity in terms of parameters, I'll let you do the maths

Stable diffusion (latent diffusion to be more precise) is about the same, the initial training required billions of teraflop, while it was relatively cheap (100k$), it still rides on modern GPU technology .