liuliu

41 ms·

451.
by liuliu 4y ago
Given couple of weeks. Still playing to see what's the optimal UI looks like for such large screen. 16GiB should be able to generate several images to select from at once.
452.
by liuliu 4y ago
Does it crash upon downloading models, or generating? I haven't tested on all the devices, but 11 Pro seems have 4GiB RAM, and should run with 384x384 resolution (check if that is the selected resolution at top right). There are report
453.
by liuliu 4y ago
SE 3rd Gen has 4GiB RAM, therefore the app defaults to 384x384 size. This is about 1/2 computation of your normal run (512x512) and the original version uses PLMS sampler, which defaults to 50 steps, while this one uses the newer DPM++
454.
by liuliu 4y ago
Android has more diverse execution environment. Not supported at this time, but have a plausible path (NCNN + Vulkan) if there is a high interest.
455.
Show HN: Draw Things, Stable Diffusion in your pocket, 100% offline(draw.nnc.ai)
15 points by liuliu 4y ago|6 comments
456.
by liuliu 4y ago
Very similar idea as Jittor, convolution definitely can be break down: https://github.com/Jittor/jittor/blob/master/python/jittor/n...
457.
by liuliu 4y ago
Yeah, that would be tricky to merge existing ones together. But you should be able to fine-tune the inpainting model the same way as you tune with dreambooth? For faces, I haven't looked deep, but seems CodeFormer's training cost
458.
by liuliu 4y ago
The 1.5 inpainting model is great! Significant improvement over how to do inpainting before. Highly recommended. Integrated into my mobile app last night and enjoying it so far!
459.
by liuliu 4y ago
> Turbopack and Next.js 13.0.1 are out addressing a regression that snuck in prior to public release and after the initial benchmarks were taken. We also fixed an incorrect rounding bug on our website (0.01s → 15ms). We appreciate Evan Y
460.
by liuliu 4y ago
PyTorch does have issues with both distributed tensor (which is easier to solve) and deployment (which is harder to solve, but solvable). I also think Keras' Functional API is superior in terms of composability than PyTorch's OOP
461.
by liuliu 4y ago
Good point. Let me think through this. I have about 15T free space so this can be seeded separately in ~12 batches.
462.
by liuliu 4y ago
Yeah, need to write the program and distributed in r/datahoarder This should be next on my list since my current project depends on SD model and having data backed up gives me confidence that I can get rid of all their stuff if needed.
463.
by liuliu 4y ago
Model can be retrained (with some money). But data is harder. I cannot backup LAION 5B unfortunately. If you can, please do! (About 200T)
464.
by liuliu 4y ago
Agreed. But the problem is not on "fast" but on "brand new". Sometimes, these are equal (because new things often advertising itself as fast alternative). Rare times when this is not equal, fast can be a good choice.
465.
by liuliu 4y ago
"Relatively few apps bottleneck on CPU" is a very 2010 opinion. With fast intranet (100Gbps+) and SSD, running business logic can become the bottleneck in many cases. Unfortunately, I don't have readily available data to back
466.
by liuliu 4y ago
HAAR Cascading based face detectors are subpar to neural-network based ones. It is better to just use TF.js and related face detector. These are faster and much more accurate. (I wrote JS-based face detector a decade ago: https:/&#x2F
467.
by liuliu 4y ago
My plan is to go to anywhere subterranean (basement levels in my building) and having enough food & water for 4 to 5 days. That should be enough to avoid the initial radiation harms.
468.
by liuliu 4y ago
If you are supply-constrained, cheaper credit would help to build newer capacity to increase the supply, therefore, lower the inflation.
469.
by liuliu 4y ago
https://www.youtube.com/watch?v=hw_VVktz9VY
470.
by liuliu 4y ago
Ostrich's top speed is ~40mph, easily beats Usain Bolt :)
471.
by liuliu 4y ago
Their video training set is still small (10M + 10M). A lot of the interpolation artifacts seems come from the model haven't acquired enough real-world understanding of "natural" movements (looking at the horse running and the
472.
by liuliu 4y ago
PyTorch doesn't offer an inplace softmax which contributes about 1GiB extra memory for inference (of stable diffusion). Although all these are not significant improvements comparing to just switch to FlashAttention inside the UNet mode
473.
by liuliu 4y ago
I sort of know what you are saying. Being dealing with so-called "server-side rendering" v.s. "static generated" recently, and these feel old / boring. It has been 15 years and mostly the same thing reinvented. Howe
474.
by liuliu 4y ago
How do we know they processed withdrawals to plain USD and how much? Is there any tracker on that? Thanks!
475.
by liuliu 4y ago
Not many countries rely on income taxes. For example, Thailand has about 11% tax revenue from personal income tax: https://www.oecd.org/tax/tax-policy/revenue-statistics-asia-... Mexico is 20%: https://
476.
by liuliu 4y ago
> dodging regulators ... With The Merge, that no longer the case, and this is good for Ethereum and for cryptocurrency community.
477.
by liuliu 4y ago
> Managers exist on the same spectrum as any other role. Most are about average. Some are better, some are worse. Same with engineers themselves. I do understand what OP said somewhat though. Mostly due to Peter's principle, thus, m
478.
by liuliu 4y ago
Not only him. The tech boom in the past decade made a lot of great programmers rich, and it is a good thing. Looking also at how Aras Pranckevicious (of the Unity fame) is now contributing to Blender. (Also to some extents Rui (for mold fam
479.
by liuliu 4y ago
Oh, I am totally in the camp of "simulation is enough". My reply is a convoluted way to argue that once learned enough in simulation, adaptation in real-world should just work (if you treat adaptation as a way of learning).
480.
by liuliu 4y ago
At certain point, training / inference difference will be blur. Is GPT-3's prompt some kind of "learning" or just a different way to poke the model? For RL, things like domain randomization, particularly, the way to trai

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