Show HN: Makeai.art – Create Art from a Description(makeai.art)
makeai.art
Show HN: Makeai.art – Create Art from a Description
https://makeai.art
28 コメント
This is an interesting idea, essentially a platform to allow people to produce interesting/creative images and distribute from there.
I agree with you that this is not a giant leap or value-add from what is out there. I'm hoping to iterate from where it is right now. I created this over the last few days as a hobby project to learn a few technologies.
I agree with you that this is not a giant leap or value-add from what is out there. I'm hoping to iterate from where it is right now. I created this over the last few days as a hobby project to learn a few technologies.
I've been running an AI Art Generator for a few years called NightCafe Creator and we do most of what you suggested here. We run on a managed Kubernetes provider called Coreweave Cloud, that provides nodes with good GPUs for a good price.
From experience I can tell you that fewer people will buy prints than you'd expect (that was my original business idea) BUT more people will pay just to create the art than you'd expect.
I just launched VQGAN+CLIP on NightCafe Creator on Show HN (https://news.ycombinator.com/item?id=28081130) and a commenter directed me here. I'm impressed that the OP here has managed to get this done in such a short time (since VQGAN+CLIP is still quite new).
Since you left such thoughtful feedback here, I'd be keen to get your thoughts on my own version.
From experience I can tell you that fewer people will buy prints than you'd expect (that was my original business idea) BUT more people will pay just to create the art than you'd expect.
I just launched VQGAN+CLIP on NightCafe Creator on Show HN (https://news.ycombinator.com/item?id=28081130) and a commenter directed me here. I'm impressed that the OP here has managed to get this done in such a short time (since VQGAN+CLIP is still quite new).
Since you left such thoughtful feedback here, I'd be keen to get your thoughts on my own version.
It's possible to make the notebook UX a little better using IPython widgets and the form mode. That's what I did for `https://is.gd/artmachine`. You have to strip away a lot of the power to make the UX nicer, but it's worth it for the accessibility.
I would make all creations public by default, and have a gallery area. This would add to my trust in what the 0.99$ does, as well as be cool on its own.
For those curious to try but don't want to pay, use the code: MACHINELEARNINGART to try for free (valid for 5 uses).
I tried to contact you by mail but it got returned with: Relay access denied (in reply to RCPT TO command).
Apologies - this should be fixed now. If you have any issues email: [email protected]
Are you one of the girls or guys behind this?:
https://colab.research.google.com/drive/1Foi0mCSE6NrW9oI3Fhn...
It's basically that in monetized/with stripe, right?
https://colab.research.google.com/drive/1Foi0mCSE6NrW9oI3Fhn...
It's basically that in monetized/with stripe, right?
It's a very high-level architecture to that, yes :) I did some fine-tuning on scraped images of modern art to hopefully result in more visually pleasing images.
$1 per image? That's going to be a really tough sell based on the quality of the sample images. Without a free trial I'll never get to see if this is any good for my own stuff.
("free" means no account creation needed even if the output is watermarked)
("free" means no account creation needed even if the output is watermarked)
That's a great point regarding a free watermarked trial. I'll look into adding that.
I would pay for a service like this, but $1 per image is too much. Does it really cost that much to run the neural network and create 1 image?
A pretrained model from the good folks over at huggingface: https://huggingface.co/spaces/flax-community/dalle-mini.
Also provides a free demo.
Huggingface is really an incredible org. I hope they continue on the same excellent path. They recently raised $40M and I imagine there will eventually be stronger pressure to monetize their work.
I did something similar - free to use for image generation but you can get your own artwork on Canvas:
https://neuralblender.com/
https://neuralblender.com/
Great, I like the name! I'm trying it now.
Here's my result:
https://s3.amazonaws.com/ai.protogenes/art/3ed8a7fa-f60b-11e...
"a monkey riding a rocket"
I think it works well :) Which architecture is this based on? Did you consider any trips or fine-tuning to generate images that are perceptually similar to art?
https://s3.amazonaws.com/ai.protogenes/art/3ed8a7fa-f60b-11e...
"a monkey riding a rocket"
I think it works well :) Which architecture is this based on? Did you consider any trips or fine-tuning to generate images that are perceptually similar to art?
It is based on VQGAN (trained on imagenet) and Open AI's CLIP.
To make it more similar to art you would need to do some "prompt engineering. Try: "painting of ..." or "... painted by Van Gogh"
to everyone who is trying it -> just scaling up the system now. Please be patient and keep your tab open. The image will eventually appear :)
Clicking "Get it on canvas" takes me straight to "enter your personal information" with no clue of what's going on. Noooooooope.
Thanks for pointing this out. Actually NeuralBlender.com was not to be released to the public yet, but the topic in this thread kind of invited it. I will clarify that and improve the UX.
For OP: The notebooks have very awkward UX. So, putting a pretty front-end on it is a value-add. But, it won't last. Your base cost is 5 minutes of GPU time. You will very soon be competing with free downloadable programs and much cheaper alternatives. And, I know from a ton of experiments that getting good results out of these systems takes a lot of practice and attempts. Charging $1 per dice roll where most of the time you roll crap will make people angry fast.
What I'd recommend is building a machine with as many 32GB K80 GPUs as possible. They are awkward to build around and quite slow, but cheap if you can find them and have a surprisingly large amount of RAM. Let people use that machine for free to generate low-rez images. Limit 1 GPU per person at a time. And, figure out how to use a low-rez generated image to seed a 1080p version in the GAN using a CPU run with 64GB of RAM. Then take the output of that and AI-upscale it to 4K or something. Charge for the upscaled, denoised version of their favorite creations. Not for every time they roll the dice.
Then hook up with a painting-on-demand service and sell drop-shipped prints of people creations.