VQGAN-CLIP
image-super-resolution
| VQGAN-CLIP | image-super-resolution | |
|---|---|---|
| 67 | 19 | |
| 2,563 | 4,499 | |
| - | 0.8% | |
| 0.0 | 0.0 | |
| over 1 year ago | about 2 months ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | Apache License 2.0 |
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VQGAN-CLIP
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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
image-super-resolution
- 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
What are some alternatives?
CLIP-Guided-Diffusion - Just playing with getting CLIP Guided Diffusion running locally, rather than having to use colab.
SwinIR - SwinIR: Image Restoration Using Swin Transformer (official repository)
DALLE-mtf - Open-AI's DALL-E for large scale training in mesh-tensorflow.
video2x - A lossless video/GIF/image upscaler achieved with waifu2x, Anime4K, SRMD and RealSR. Started in Hack the Valley II, 2018.
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
DeepCreamPy - Decensoring Hentai with Deep Neural Networks
waifu2x - Image Super-Resolution for Anime-Style Art
stable-diffusion - A latent text-to-image diffusion model
MAX-Image-Resolution-Enhancer - Upscale an image by a factor of 4, while generating photo-realistic details.
stylegan2-pytorch - Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement
fashion-mnist - A MNIST-like fashion product database. Benchmark :point_down: