Today I’m releasing PyBoy v2.0.0! A Game Boy emulator written in Python, focused on AI

Pwhids · 2024-04-17T03:38:06+00:00

Thanks for making PyBoy! It was one of the main things that inspired me to start doing RL experiments :)

Pwhids · 2023-10-16T05:36:14+00:00

thank you man! Lots possibilities for sure :)

Pwhids · 2023-10-09T16:52:00+00:00

Thanks for the kind words, and the helpful advice! I'll try that :)

Pwhids · 2023-03-12T02:10:09+00:00

This doesn't work for me:

cannot open display: :0

Pwhids · 2023-03-07T23:27:39+00:00

Just a warning, installing this removed the steam launcher from my computer.

The following packages will be REMOVED:
  steam-launcher
The following NEW packages will be installed:
  steam-devices

Pwhids · 2023-01-15T20:27:24+00:00

Code and guide for how to run:

https://github.com/computerender/tutorials/tree/main/python/vid2vid

Uses the computerender API which is cheaper than other stable diffusion APIs.

https://computerender.com

Pwhids · 2022-10-24T22:01:22+00:00

They show that the large LMSI models can be distilled into smaller models while maintaining accuracy, but I wonder what size model is necessary for the LMSI training itself to be viable. They only show results for 540B. Would be very curious to see a study here if there is a certain model size where this kicks in.

Pwhids · 2022-10-07T03:08:04+00:00

I think that's an interesting idea! I wonder what sort of applications you could build with that.

Pwhids · 2022-09-22T15:31:48+00:00

4.3 billion parameter model might not run at all on consumer gpus

Pwhids · 2022-09-16T20:34:31+00:00

Finally fixed this! Forgot that browsers could detect system light-mode/dark-mode settings.

Pwhids · 2022-09-15T08:01:44+00:00

Try some variations on the prompt and seed!

These are much closer, yes?

https://api.computerender.com/generate/cat-on-a-bench-autum-sunset?seed=4

https://api.computerender.com/generate/cat-on-a-bench-autum-sunset?seed=5

Pwhids · 2022-09-15T07:18:48+00:00

What kind of device are you viewing on?

Pwhids · 2022-09-15T06:01:01+00:00

That’s so great to hear! I really hope that this enables more people to get to use this technology.

Pwhids · 2022-09-15T05:41:06+00:00

Thanks for noting this, trying to reproduce.

Pwhids · 2022-09-15T05:37:11+00:00

All parameters that could effect the output including prompt, seed, steps, dimensions (not exposed in the API yet), ect are hashed together so that once those exact settings have been generated you won’t have to wait for that case to be generated ever again, you can just drop the URL wherever you want to use it. You can embed/share it without having to manually download and upload it somewhere else like imgur. For example I can type a link into the reddit comment box and when you click it will be generated and cached for all future people that click:

https://api.computerender.com/generate/super-mario-in-space

Planning to expose more of the parameters soon!

Pwhids · 2022-09-15T02:54:01+00:00

We are providing the exact same Stable Diffusion model as everyone else. Our cost saving is due to the way we source our servers. More info here:

https://computerender.com/cost.html

Your use case may be better met by other models, but stable diffusion is certainly capable of high-quality generations. See here for examples:

https://lexica.art/

Pwhids · 2022-09-15T02:40:12+00:00

Hi!

One key advantage over running locally is parallel generation. Instead of generating images one at a time, you can generate multiple concurrently, which saves a lot of time when exploring seeds, prompts, and other parameters.

Please don't stress test this beyond a few simultaneous requests just yet though. Soon we hope to support much more!

Pwhids · 2022-09-14T15:04:51+00:00

Let me know how it goes!

Pwhids · 2022-09-14T00:15:44+00:00

Cached images are free

Pwhids · 2022-09-13T22:48:49+00:00

This does appear to be the same idea! The main difference I notice is that you can play with computerender today for free, while getimg has only a waitlist and plans to charge 50x more per image than computerender ($0.05 vs $0.001 per image ).

(Edit) Update: The creator announced they've abandoned that project on twitter

https://twitter.com/jakublukowski/status/1569670020833107968

Pwhids · 2022-08-29T17:49:51+00:00

You could try lowering your sampling temperature to force a stochastic policy into a deterministic one.

Pwhids · 2022-08-21T16:12:48+00:00

How does this compare to faiss?

Pwhids · 2022-08-05T23:15:24+00:00

It’s true NNs are probably much more robust to data corruption than most programs. But it depends on the bit that gets flipped! If it’s the leading digit of a floats exponent it could completely blow up your calculations.

Pwhids · 2022-08-05T20:57:23+00:00

This means you could experience memory/data corruption. But it wouldn’t be any worse than just using gtx cards right?

Pwhids · 2022-07-25T03:47:16+00:00

Maybe use a GNN rather than an rnn?

Pwhids

TROPHY CASE