-
DALLE2-pytorch
Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch
There's already an open-source implementation of DALL-E 2 (https://github.com/lucidrains/DALLE2-pytorch) and a pretrained model for it should be released within this year.
Also true for Google's Imagen, which should be even better than DALLE-2 (and faster) https://github.com/lucidrains/imagen-pytorch.
This is possible because the original research papers behind both DALLE-2 and Imagen were publicly released.
-
SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
-
For those who want to try DALL.E but do not have access yet, this is good play site: https://www.craiyon.com/
-
Additionally, it's also open-sourced on GitHub and can be self-hosted, with easy instructions to do so: https://github.com/kuprel/min-dalle
-
> Facebook released over 100 pages of notes a few months ago detailing their training process for a model that is similar in size. Does anyone have a link?
Is https://github.com/facebookresearch/metaseq/blob/main/projec... what you're referring to?
-
Here are a couple I've used recently:
Majestic diffusion - https://github.com/multimodalart/majesty-diffusion
Centipede diffusion - https://colab.research.google.com/github/Zalring/Centipede_D...
-
Things have moved on a considerable amount since waifu2x
Try https://github.com/n00mkrad/cupscale
-
There's already an open-source implementation of DALL-E 2 (https://github.com/lucidrains/DALLE2-pytorch) and a pretrained model for it should be released within this year.
Also true for Google's Imagen, which should be even better than DALLE-2 (and faster) https://github.com/lucidrains/imagen-pytorch.
This is possible because the original research papers behind both DALLE-2 and Imagen were publicly released.
-
Waifu2x-Extension-GUI
Video, Image and GIF upscale/enlarge(Super-Resolution) and Video frame interpolation. Achieved with Waifu2x, Real-ESRGAN, Real-CUGAN, RTX Video Super Resolution VSR, SRMD, RealSR, Anime4K, RIFE, IFRNet, CAIN, DAIN, and ACNet.
My bad! Yes Waifu2x is just a single algorithm, you are right.
The confusion originates from the fact that I was using a GUI project for Waifu2x called "Waifu2x Extension GUI" (https://github.com/AaronFeng753/Waifu2x-Extension-GUI) which other than Waifu2x also supports other algorithms like Real-ESRGAN, Real-CUGAN, SRMD, RealSR, Anime4K, RIFE, IFRNet, CAIN, DAIN, and ACNet.
So as you said Cupscale is surely more advanced than Waifu2x (the single algorithm), but do you think it's also better than Waifu2x Extension GUI?
Related posts
-
Google's StyleDrop can transfer style from a single image
-
One year ago I got access to closed beta DALL-E 2.
-
Besides Gaming - for what can be a 4080 useful?
-
Is creating a StableDiffusion-inspired model feasible for my Master's thesis?
-
TEDx talk on how to prepare for a career in vfx with the rapid changes caused by AI / machine learning