121–130 of 421 posts
Oh yeah, totally ready for prime time, hyper realistic, SFW filter works great, not at all hallucinations /massive_sarcasm Actually NSFW, not safe for sanity. That's...not how body parts work: https://generated.photos/human-generator/64e644f39c8c0400108... Prompt was "young woman with tattoos in miniskirt" really nothing crazy there. But perhaps the latent space with that particular pose is particularly raunchy.
Looks like something from a hellraiser movie
Earlier quoted context omitted.
> The copyright office has stated they wont grant monopoly privilege for ai generated art. No, they haven't. They've said that if the only human input is a text prompt, then it lacks the required human creativity to be eligible for copyright protection.
Not trying to be combative, but I don't see the difference?
Why is it impossible to generate a male model wearing anything other than rolled denim jean shorts? I've tried things like "long pants" or "ankle-length pants," but I cannot get it to stop putting them all in denim shorts!
Its not, I got rolled-but-long white denim pants, white shirt, white tie, and white jacket, with white deck-ish shoes but selecting “Formal” on the clothing tab and entering “Clothing: white-tie formalwear”.
But, yeah, there is a definite denim bias.
Oh yeah, totally ready for prime time, hyper realistic, SFW filter works great, not at all hallucinations /massive_sarcasm Actually NSFW, not safe for sanity. That's...not how body parts work: https://generated.photos/human-generator/64e644f39c8c0400108... Prompt was "young woman with tattoos in miniskirt" really nothing crazy there. But perhaps the latent space with that particular pose is particularly raunchy.
I just let it generate a random woman with no prompt, and it gave me a pretty good result, except there is a mask on the face and literally bloody nude boobs; https://generated.photos/human-generator/64d67874568faa0007a...
edit; I just realized it put in a default prompt
If you're wondering how it's so fast and cheap and they can generate variants so easily, it's because they're using GANs (see the footer). GANs are way faster than diffusion models because they generate the image in a single forward pass and their true latent space encoding makes editing a breeze. (And if you're wondering how it can look so good when 'everyone knows GANs don't work because they're too unstable', a wi…
>they're too unstable', a widespread myth >See for example BigGAN I remember when you try training a BigGAN model on anime images, the quality was bad. Now look at this example, one single GPU, 1.5M images with a diffusion model: https://medium.com/@enryu9000/anifusion-diffusion-models-for... ,the difference in quality is absurd, you can say this or that is not true but the quality speak for itself, obtaining good qu…
Because there was a bug in the code, in a part unrelated to the GAN itself.
> the difference in quality is absurd
Yes, it does help to train on anime with code that isn't buggy. (BTW, Skylion was getting good results with GANs on anime similarly restricted to centered figures like those samples, he just refuses to ever publish anything.)
If you're wondering how it's so fast and cheap and they can generate variants so easily, it's because they're using GANs (see the footer). GANs are way faster than diffusion models because they generate the image in a single forward pass and their true latent space encoding makes editing a breeze. (And if you're wondering how it can look so good when 'everyone knows GANs don't work because they're too unstable', a wi…
> everyone knows GANs don't work because they're too unstable Is that a wide spread myth? I thought it’s widely accepted that GAN is really good generating these artificial pictures (it’s what started DeepFake after all) when you know your model’s “button”. Similar to how this uses GAN since they have a model “boundary condition”. While humans are diverse, we have a set of repeatable features (two legs, two arms, etc…
If you're wondering how it's so fast and cheap and they can generate variants so easily, it's because they're using GANs (see the footer). GANs are way faster than diffusion models because they generate the image in a single forward pass and their true latent space encoding makes editing a breeze. (And if you're wondering how it can look so good when 'everyone knows GANs don't work because they're too unstable', a wi…
You’re overstating the simplicity of a scaling a GAN well. GigaGAN is the best quality out of those and requires 7 loss functions and is incredibly complicated. Sure GANs can scale, but Diffusion models are drastically easier to scale.
Diffusion models are only 'drastically easier to scale' because researchers have spent the past 3 years researching pretty much nothing but diffusion models, discovering all sorts of subtle issues with them and how to make them scale, which is why it took them so long to become SOTA, and why massive architectural sweeps like https://arxiv.org/abs/2206.00364#nvidia were necessary to discover what makes them 'easier to scale'. If this level of brute force and moon math is 'easy', lord save us from any architecture which is 'hard'!
If you refuse their tracking and marketing cookies it redirects you to google.com. Classy.
If this service is hell bent on raping your privacy, they will have to limit their offerings to mostly those living in dictatorships and immature democracies.