VQGAN-CLIP
Just playing with getting VQGAN+CLIP running locally, rather than having to use colab. (by nerdyrodent)
mindall-e
PyTorch implementation of a 1.3B text-to-image generation model trained on 14 million image-text pairs (by kakaobrain)
| VQGAN-CLIP | mindall-e | |
|---|---|---|
| 67 | 8 | |
| 2,563 | 630 | |
| - | -0.2% | |
| 0.0 | 0.0 | |
| over 1 year ago | over 1 year ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | 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.
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
mindall-e
Posts with mentions or reviews of mindall-e.
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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Which is your favorite text to image model overall?
Runner-ups are Craiyon (for being more "creative" than SD), Disco Diffusion, minDALL-E, and CLIP Guided Diffusion.
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minDALL-E on Conceptual Captions
minDALL-E at replicate.com. (Found here.)
GitHub: https://github.com/kakaobrain/minDALL-E Colab demo: https://colab.research.google.com/drive/1Gg7-c7LrUTNfQ-Fk-BVNCe9kvedZZsAh?usp=sharing
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We got openAI's DALL-E
For those wondering, this is minDALL-E as u/DEATH_STAR_EXTRACTOR mentioned
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[P] minDALL-E: PyTorch implementation of a 1.3B text-to-image generation model trained on 14 million image-text pairs
Hello. I introduce an open source project, which released the checkpoint of the text-to-image generation model, DALL-E. Link: https://github.com/kakaobrain/minDALL-E
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Release: 602M-parameter CLIP-conditioned diffusion model trained on Conceptual 12M (v-diffusion-pytorch)
See also the much chonkier minDALL-E: https://github.com/kakaobrain/minDALL-E Wonder which one is better? Diffusion models are pretty good with CLIP.
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Kakao Brain releases 1.3 billion parameter text-to-image model minDALL-E. Details in a comment. Example: "a Christmas tree".
According to its GitHub repo, minDALL-E was trained on 14 million image+text pairs from the Conceptual Captions and Conceptual Captions 12M datasets.
What are some alternatives?
When comparing VQGAN-CLIP and mindall-e you can also consider the following projects:
CLIP-Guided-Diffusion - Just playing with getting CLIP Guided Diffusion running locally, rather than having to use colab.
dalle-mini - DALL·E Mini - Generate images from a text prompt
DALLE-mtf - Open-AI's DALL-E for large scale training in mesh-tensorflow.
disco-diffusion
image-super-resolution - 🔎 Super-scale your images and run experiments with Residual Dense and Adversarial 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
artroom-stable-diffusion
waifu2x - Image Super-Resolution for Anime-Style Art
stable-diffusion - A latent text-to-image diffusion model
stylegan2-pytorch - Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement
Real-ESRGAN - Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
VQGAN-CLIP vs CLIP-Guided-Diffusion
mindall-e vs dalle-mini
VQGAN-CLIP vs DALLE-mtf
mindall-e vs disco-diffusion
VQGAN-CLIP vs image-super-resolution
mindall-e vs CLIP-Guided-Diffusion
VQGAN-CLIP vs deep-daze
mindall-e vs artroom-stable-diffusion
VQGAN-CLIP vs waifu2x
VQGAN-CLIP vs stable-diffusion
VQGAN-CLIP vs stylegan2-pytorch
VQGAN-CLIP vs Real-ESRGAN