image-super-resolution
🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks. (by idealo)
VQGAN-CLIP
Just playing with getting VQGAN+CLIP running locally, rather than having to use colab. (by nerdyrodent)
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| image-super-resolution | VQGAN-CLIP | |
|---|---|---|
| 19 | 67 | |
| 4,493 | 2,563 | |
| 1.5% | - | |
| 0.0 | 0.0 | |
| about 1 month ago | over 1 year ago | |
| Python | Python | |
| Apache License 2.0 | GNU General Public License v3.0 or later |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
image-super-resolution
Posts with mentions or reviews of image-super-resolution.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-12-15.
- A tech worker is selling a children's book he made using AI. Professional illustrators are pissed.
- Low quality surveillance footage from a hit and run that happened today. Greatly appreciate if anyone has any ideas on how to get the plate number.
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[R] What are the best pretrained super-resolution GAN models on GitHub?
Currently, I have already implemented the pretrained GAN model from here, however I am not yet satisfied with the results. Indeed, I will go with this one if there's no other option, but I was hoping maybe someone here can point me to a better direction. Thank you!
- [P] Tutorial on using image super-resolution without Photoshop
- [P] Tutorial on how to use image super-resolution without photoshop
- What’s an extremely useful website most people probably don’t know about?
- Hit and Run Can someone help me figure out what the plate says? Also any advice I've never been in an accident before
- VC#4 - pancake - vc.ajmoon.uk - VQGAN/CLIP + 3D Photo Inpainting + Image Super-Resolution
VQGAN-CLIP
Posts with mentions or reviews of VQGAN-CLIP.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-09-23.
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📚 Tutorials & 🎨 AI Art Generation Tool List Mega Thread
VQGAN-CLIP
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Which is your favorite text to image model overall?
I've screwed with many text-to-image models over the past couple of years, and I found that while I currently enjoy Stable Diffusion's coherency, I have a soft spot for the ImageNet model used by default for VQGAN+CLIP. It easily approaches the uncanny valley when generating people or animals, but makes for great abstract backgrounds and wallpapers. I already have nostalgia for generating images with it on my CPU overnight.
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Stable Diffusion Announcement
For someone only tangentially familiar with this space, how is this different than e.g. https://github.com/nerdyrodent/VQGAN-CLIP which you can also run at home? Is it the quality of the generated images?
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Medieval Noir - VQGAN-CLIP - COCO Checkpoint
Used https://github.com/nerdyrodent/VQGAN-CLIP
- Once have access, do you run it on your computer or over the internet on Open-AI's computers?
- How to get AI imaging effect in Premiere pro
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A Guide to Asking Robots to Design Stained Glass Windows
I don't have any of the DALL-Es but I do have a couple from github [1], [2] which gave these outputs[3]
[1] https://github.com/nerdyrodent/VQGAN-CLIP
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How not to waste $1600?
If you want to try your hand at buggering your whole system - try playing with AI image generation as it uses all possible computer assets :D . There is a lot of forms and installations for those but I VQGANs from github the easiest. Problem is that some require familarity with shell, python and in some cases - you need to enable the Linux subsystem in Windows (is it called a subsystem? it is not exactly a VM). This one is the easiest to install out of all I tried. But I liked the results of Pixray most but I wrecked it. I use this one nowadays.
- Ask HN: Is there a publicly available (not private beta) text-to-image API?
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Got a Machine Learning Algorithm to depict Aphex
For those that are interested, I used VQGAN-CLIP, specifically this GitHub repository
What are some alternatives?
When comparing image-super-resolution and VQGAN-CLIP you can also consider the following projects:
SwinIR - SwinIR: Image Restoration Using Swin Transformer (official repository)
CLIP-Guided-Diffusion - Just playing with getting CLIP Guided Diffusion running locally, rather than having to use colab.
video2x - A lossless video/GIF/image upscaler achieved with waifu2x, Anime4K, SRMD and RealSR. Started in Hack the Valley II, 2018.
DALLE-mtf - Open-AI's DALL-E for large scale training in mesh-tensorflow.
DeepCreamPy - Decensoring Hentai with Deep Neural Networks
deep-daze - Simple command line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation network). Technique was originally created by https://twitter.com/advadnoun
waifu2x - Image Super-Resolution for Anime-Style Art
MAX-Image-Resolution-Enhancer - Upscale an image by a factor of 4, while generating photo-realistic details.
stable-diffusion - A latent text-to-image diffusion model
fashion-mnist - A MNIST-like fashion product database. Benchmark :point_down:
stylegan2-pytorch - Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement
image-super-resolution vs SwinIR
VQGAN-CLIP vs CLIP-Guided-Diffusion
image-super-resolution vs video2x
VQGAN-CLIP vs DALLE-mtf
image-super-resolution vs DeepCreamPy
VQGAN-CLIP vs deep-daze
image-super-resolution vs waifu2x
VQGAN-CLIP vs waifu2x
image-super-resolution vs MAX-Image-Resolution-Enhancer
VQGAN-CLIP vs stable-diffusion
image-super-resolution vs fashion-mnist
VQGAN-CLIP vs stylegan2-pytorch