Y
HN Search
Hacker News Search
new
|
comments
|
top
|
jobs
dvrp
searching PlanetScale…
1.
▲
2.
▲
3.
▲
4.
▲
5.
▲
6.
▲
22 ms
·
331.
▲
by
dvrp
3y ago
Here are some demos as shown in the repository: - Heart: https://chenglou.me/pure-css-shaders-art/heart.svg - Ring (kinda laggy): https://chenglou.me/pure-css-shaders-art/ring.html - Squircles (as
332.
▲
Writing Shaders in Pure CSS
(github.com)
6 points
by
dvrp
3y ago
|
3 comments
333.
▲
by
dvrp
3y ago
I think, like Paul Graham would say, we'll develop societal antibodies against this. And, like Sam Altman would say, it is going to be net good for society, but that doesn’t mean there aren’t bumps along the way. We will need to lear
334.
▲
by
dvrp
3y ago
Introducing Tesseract Diffusion.
335.
▲
by
dvrp
3y ago
And it did blow up! But not as much as changing the UI towards a (familiar) chat interface. Good point! I agree with it but forgot to mention it: interaction matters. With GitHub Copilot you are in familiar terrain, your code editor; with C
336.
▲
by
dvrp
3y ago
Exactly! And I think there is a long room for optimizations.
337.
▲
by
dvrp
3y ago
Yup! It is different; that one is based on GAN models. That's why you can only use what they let you paint. In our demo, you can put whatever text you want. And we want to make it so that you can assign a (custom) label to each shape.
338.
▲
by
dvrp
3y ago
I was being sarcastic! I’m super excited too!
339.
▲
by
dvrp
3y ago
Exactly. I actually wrote a micro essay on Twitter the other day about the meaning of the classic encoder decoder network. It’s beautiful. But yeah! - For reference: https://x.com/asciidiego/status/1722544108252836
340.
▲
by
dvrp
3y ago
Yes. And what if I told you that you can prompt not just with basic shape but your custom assets? Or even better, a model that understands your brand .
341.
▲
by
dvrp
3y ago
Exactly! Everything will change. And this is without taking into account WebGPU and other advances in adjacent fields.
342.
▲
by
dvrp
3y ago
Something something <Best way to predict the future quote>
343.
▲
by
dvrp
3y ago
Oh interesting, in our case it fuels us! Perhaps it's because we've been doing generative AI for years now haha
344.
▲
by
dvrp
3y ago
Our users are already using our tool professionally—even though latency is >5s at times. I have to disagree with you. Of course, people will use it in a weird way—which is exciting.
345.
▲
by
dvrp
3y ago
Oh, interesting! What do you think of this technology? What do you envision?
346.
▲
by
dvrp
3y ago
We haven't even deployed an open beta of this and you're already asking for 3D? I'll never get tired of seeing the adaptation capabilities of human nature! (But of course, we'd love to work on this!)
347.
▲
by
dvrp
3y ago
probably not but are you talking about the guy who used control net and animatediff to make a video that looked relatively consistent?
348.
▲
by
dvrp
3y ago
we’re thinking of doing that as well! but first we want to make sure we can get this in the hands of a tight cohort of creatives and see how they use it.
349.
▲
by
dvrp
3y ago
exactly. and there’s more things that you can do in terms of what you use as input for the NN!
350.
▲
by
dvrp
3y ago
yup, see comment above!
351.
▲
by
dvrp
3y ago
cloud, A100, so yeah, beast. we are doing tests, will keep you guys posted.
352.
▲
by
dvrp
3y ago
that’s kind of different though
353.
▲
by
dvrp
3y ago
That’s how it started!
354.
▲
by
dvrp
3y ago
Really? Some users are already using KREA professionally. FCB for example.
355.
▲
by
dvrp
3y ago
I agree with your points but I think this is the beginning of something bigger
356.
▲
by
dvrp
3y ago
apolinario is a friend:)
357.
▲
by
dvrp
3y ago
In the general sense yes, but I wonder if there will be unexpected things that we’ll need to take into account with this new generation of tools. Part of me thinks that this is another revolution in graphics the same way Photoshop was where
358.
▲
by
dvrp
3y ago
what does it take to impress you?
359.
▲
by
dvrp
3y ago
Exactly. The stepping stone way of seeing things reminds me a lot to the thesis behind the book “ Why Greatness Cannot Be Planned: The Myth of the Objective” (2015).
360.
▲
by
dvrp
3y ago
You can train it directly. This is from the paper “An LCM demands merely 32 A100 GPUs Hours training for 2-step inference [...]”
More ›