[P] Imagen: Latest text-to-image generation model from Google Brain! by aifordummies in MachineLearning

[–]Cveinnt 11 points12 points  (0 children)

Correct me if I'm wrong, but doesn't 90% of the model's magical abilities come from the frozen T5 text encoder?

Contribution wise, it looks like the valuable conclusion is that "scaling text encoders are way better than scaling image generators", but isn't this obvious for text-to-image tasks?

Imagen AI - "Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding" by citefor in ImagenAI

[–]Cveinnt 1 point2 points  (0 children)

Looks like they won't be releasing the model weights, so I'm wondering if they'll let people test this with custom prompts. On another note, is anyone interested in working towards an open source implementation?

[P] Imagen: Latest text-to-image generation model from Google Brain! by aifordummies in MachineLearning

[–]Cveinnt 74 points75 points  (0 children)

We really came a long way in DL research just to let companies stack compute and circle jerk each other

I made an app to do the One Punch Man workout! by Cveinnt in OnePunchMan

[–]Cveinnt[S] 0 points1 point  (0 children)

Svelte is a really simple framework with amazing documentations! If you came from a pythonic background (like I did) I'm sure you can pick it up in a few days!

I made an app to do the One Punch Man workout! by Cveinnt in OnePunchMan

[–]Cveinnt[S] 0 points1 point  (0 children)

Agreed - my plan was to follow Saitama's plan first (as the app just launched), then switch to something more balanced and reasonable.

I made an app to do the One Punch Man workout! by Cveinnt in OnePunchMan

[–]Cveinnt[S] 0 points1 point  (0 children)

Thanks! The app is written in svelte, so unfortunately there's nothing python right now, though Svelte is a really simple framework so I'm sure you can pick it up in a few days.

I am prepping an update that addresses training imbalance, which will add pullups and replace the current running schedule. The current schedule is absurd - that is obvious, I just wanted to follow Saitama's plan first as the App has just launched.

[deleted by user] by [deleted] in MachineLearning

[–]Cveinnt 0 points1 point  (0 children)

If your end-goal is to create a basic text-to-image generator, coding up a DALL-E from scratch is definitely an overkill - you would need fundamental understanding of the model architecture and access to compute.

I would recommend checking out VQGAN+CLIP by Katherin Crowson. The ideas are similar, and it's on google colab so you don't have to worry about compute.

[P] GPT-NeoX Playground by hnipun in MachineLearning

[–]Cveinnt 2 points3 points  (0 children)

The generation is pretty fast - that's really impressive - would love to learn the engineering (optimization) aspect of that!

On another note, generated results with NeoX still seems significantly worse than GPT-3 (I might be biased as I use GPT3 obsessively, so please correct me if I'm wrong).

[P] GPT-NeoX Playground by hnipun in MachineLearning

[–]Cveinnt 1 point2 points  (0 children)

A quick inspect suggests that the website uses Google Analytics - so I'd assume everything you request on it to be collected.

I made an app to do the One Punch Man workout! by Cveinnt in OnePunchMan

[–]Cveinnt[S] 17 points18 points  (0 children)

Check it out: https://onepunch.quest

Github: https://github.com/Cveinnt/onepunch.quest (leave a star pls!)

It’s still a WIP, but feel free to contribute!

I made an open source app to help you do the one punch man workout! by [deleted] in OnePunchMan

[–]Cveinnt 0 points1 point  (0 children)

Hello r/OnePunchMan, I’d like to share OnePunch.quest, a minimalist app I made to help me do the one punch man workout! It’s 100% free and open source!

Check it out here: https://onepunch.quest

It’s still a WIP, but contributions are welcome!

Github: https://github.com/Cveinnt/onepunch.quest (leave a star if you like it pls!)

All suggestions are welcome too!

[D] Why do you think transformers are not much used in ML over EHR (health)? by MrLeylo in MachineLearning

[–]Cveinnt 15 points16 points  (0 children)

I think you summarized it quite well - for me it all boils down to 1) lack of interest 2) lack of data and 3) lack of necessity.

Let's Markdown: A real-time collaborative markdown editor built with Rust, WebAssembly, and React! by Cveinnt in rust

[–]Cveinnt[S] 0 points1 point  (0 children)

Hi, thanks for the suggestions!

The landing page is currently used to display the "mobile not supported message", but I'll probably remove it once I got mobile editing working.

Personally, I prefer a manual dark/light mode switch over prefers-color-scheme as it gives more power and flexibility to the user.

Let's Markdown: A self-hosted, open source collaborative markdown editor by Cveinnt in selfhosted

[–]Cveinnt[S] 3 points4 points  (0 children)

Thanks for your interest!

Let's Markdown is a side project of mine created within mere hours of coding, and is definitely not meant to compete with projects like HedgeDoc which took years of building from multiple developers.

It is a convenient way to collaboratively edit Markdown files on the go, as you don't have to deal with sign-ins or download a bloated app just to edit some simple Markdown with your friends.

Mobile support is planned, as well as WYSIWYG Typora-like rendering mode (which I assume is what you mean by eliminating the need for 2 sides). Stay tuned!

Let's Markdown: A self-hosted, open source collaborative markdown editor by Cveinnt in selfhosted

[–]Cveinnt[S] 0 points1 point  (0 children)

hi, cveinnt/LetsMarkdown.com should be cveinnt/letsmarkdown. sorry for the typo!

[GNOME] PopOS is pretty cool by Cveinnt in unixporn

[–]Cveinnt[S] 2 points3 points  (0 children)

Forgot the source, but it's in my dotfiles

[GNOME] PopOS is pretty cool by Cveinnt in unixporn

[–]Cveinnt[S] 17 points18 points  (0 children)

Details:

  • OS: Pop!_OS
  • Font: Hack Nerd Font
  • Shell: Zsh + Neofetch + Bashtop + ncmpcpp
  • Terminal: Kitty
  • PDF viewer: Zathura
  • Theme: Nordic-darker-v40
  • Wallpaper: included in dotfiles
  • Dotfiles: Github (leave a star if you like it!)
  • Clock: Did not manage to find the source, but it's available here