deep-daze
VQGAN-CLIP
Our great sponsors
deep-daze | VQGAN-CLIP | |
---|---|---|
49 | 67 | |
4,379 | 2,563 | |
- | - | |
0.0 | 0.0 | |
about 2 years ago | over 1 year ago | |
Python | Python | |
MIT License | GNU General Public License v3.0 or later |
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.
deep-daze
- Besides Gaming - for what can be a 4080 useful?
-
Master hacker used “AI via command prompt” to ask what “after death looks like”
it's not nessecary to specify the model with the tool he is using also known as deep daze
-
List of sites/programs/projects that use OpenAI's CLIP neural network for steering image/video creation to match a text description
(Added Mar. 15, 2021) deep-daze Fourier Feature Map - Colaboratory by afiaka87. Uses SIREN to generate images. Reference. Reddit post.
-
test
(Added Feb. 5, 2021) Deep Daze - Colaboratory by lucidrains. Uses SIREN to generate images. The GitHub repo has a local machine version. GitHub. Notebook copy by levindabhi.
-
AI generated visualization of Meat Grinder lyrics
Some people are wondering what I used to make it. I used the create_story feature of https://github.com/lucidrains/deep-daze. I then set the framerate such that it lined up with the length of the song and that was it :)
-
Told an AI to generate Linux. Looks about right
In case you have some damn good gamer-level GPU, you can try this FOSS alternative locally instead: https://github.com/lucidrains/deep-daze
-
An image created by an AI with keywords "Abandoned prison covered in fog"
If you're technologically savvy someone created a similar thing in Python, that runs locally on your computer. https://github.com/lucidrains/deep-daze
-
9 Command-Line Tools to Go to Infinity & Beyond
2. Deep Daze
-
I put the words “playboi carti” into Deep Daze artificial intelligence (creates art from words) and this is the result after 70 renders
If you have a pc head over to https://github.com/lucidrains/deep-daze and they tell you how to
VQGAN-CLIP
-
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.
-
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?
- Once have access, do you run it on your computer or over the internet on Open-AI's computers?
-
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]
-
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?
-
Saw someone used AI to convert spells name into artwork, so I tried to make it too but with the hero's name
There are various implementations floating around the web which combine VQGAN and CLIP to generate AI artwork (Google Colab or locally using Python). See this list for a more comprehensive overview of projects using VQGAN+CLIP.
-
High Tide
Not for mine specifically but it’s all based on nerdyrodent’s VQGAN+CLIP with Real-ESRGAN
-
Dancing Thunder Clouds. Vqgan/Clip
Have you checked out https://github.com/nerdyrodent/VQGAN-CLIP? It has options for input and target images that seem like they might be helpful.
-
Does anyone know exactly what process Hypnogram uses?
Glad to hear that! I think dribnet has done more than just change default settings. It's based upon nerdyrodent's VQGAN+CLIP code, which I believe has no associated Colab notebook currently.
What are some alternatives?
CLIP-Guided-Diffusion - Just playing with getting CLIP Guided Diffusion running locally, rather than having to use colab.
DALLE-mtf - Open-AI's DALL-E for large scale training in mesh-tensorflow.
image-super-resolution - 🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
waifu2x - Image Super-Resolution for Anime-Style Art
stable-diffusion - A latent text-to-image diffusion model
big-sleep - A simple command line tool for text to image generation, using OpenAI's CLIP and a BigGAN. Technique was originally created by https://twitter.com/advadnoun
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.
3d-photo-inpainting - [CVPR 2020] 3D Photography using Context-aware Layered Depth Inpainting
fast-style-transfer - TensorFlow CNN for fast style transfer ⚡🖥🎨🖼
latent-diffusion - High-Resolution Image Synthesis with Latent Diffusion Models
taming-transformers - Taming Transformers for High-Resolution Image Synthesis