aphantasia
CLIP + FFT/DWT/RGB = text to image/video (by eps696)
StyleCLIP
Official Implementation for "StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery" (ICCV 2021 Oral) (by orpatashnik)
| aphantasia | StyleCLIP | |
|---|---|---|
| 21 | 23 | |
| 769 | 3,896 | |
| - | - | |
| 3.9 | 0.0 | |
| 6 months ago | 11 months ago | |
| Python | HTML | |
| MIT License | MIT License |
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.
aphantasia
Posts with mentions or reviews of aphantasia.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-04-03.
- An AI written, AI illustrated, human performed audio drama: Asteroid Annie and the Mushiblooms, Part 1 (Uncanny Robot Podcast)
- An audio drama written with NovelAI: Asteroid Annie and the Mushiblooms, Part 1
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DeadSeanKennedy - Black Sheep Supreme [Breakbeat Techno House Electro Indie] [2022]
A new music video I made off of my latest release "Junglehaus" I used the Aphantasia library from eps696 (https://github.com/eps696/aphantasia) by feeding it the lyrics from the song and then editing together the best generations.
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test
(Added Mar. 1, 2021) Aphantasia.ipynb - Colaboratory by eps696. Uses FFT (Fast Fourier Transform) from Lucent/Lucid to generate images. GitHub. Twitter reference. Example #1. Example #2.
- Batch render different prompts
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Saw u/R_is_Ris post and inspired me to post my own. I call it Glow Forest for obvious reasons
Made with Illustrip by Vadim Epstein (https://github.com/eps696/aphantasia) and FL Studio for the background ambience
- Feeding in Politics: It Did Not Go As Planned
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AI - A love story // AI-generated video about the future of AI // prompt -> GPT-J-6B -> Aphantasia
GPT-J - from the wizards at Eleuther.ai, via HuggingFace. - https://huggingface.co/EleutherAI/gpt-j-6B Aphantasia - from vadim epstein (eps696) - https://github.com/eps696/aphantasia
- Mario's Power-up (created with Aphantasia)
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I heard a bird sing in the dark of December. A magical thing.
Over the weekend i've been toying around with the amazing Aphantasia, using quotes about the months of the year as prompts, this is definitely my favorite of the whole set.
StyleCLIP
Posts with mentions or reviews of StyleCLIP.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-03-13.
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A History of CLIP Model Training Data Advances
While CLIP on its own is useful for applications such as zero-shot classification, semantic searches, and unsupervised data exploration, CLIP is also used as a building block in a vast array of multimodal applications, from Stable Diffusion and DALL-E to StyleCLIP and OWL-ViT. For most of these downstream applications, the initial CLIP model is regarded as a “pre-trained” starting point, and the entire model is fine-tuned for its new use case.
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[D] What is the largest / most diverse GAN model currently out there?
I'm currently building a fork for StyleCLIP global directions which allows you to control multiple semantic parameters simoultaneously to generate and edit an image with StyleGAN and CLIP in realtime. I want to showcase its potential as a design tool. Unfortunately, GAN weights are trained on very domain-specific (faces, cars, churches) data. This makes them inferior to modern diffusion models which I can use to generate whatever comes to mind. Although I know we won't have a GAN-based DALL-E counterpart anytime soon, I still would love to use my system with weights that can output a wide variety of things.
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test
(Added Feb. 15, 2021) StyleCLIP - Colaboratory by orpatashnik. Uses StyleGAN to generate images. GitHub. Twitter reference. Reddit post.
- I am David Bau, and I study the structure of the complex computations learned within deep neural networks.
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Dragon Age Origins Companions as Photorealistic People.
I used StyleCLIP. I purchased some Google Colab time to use their GPUs. I'll probably do some more later this week.
- Turning BDO characters into blursed people with AI
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I used AI to generate real life for honor character faces
Link for Styleclip
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AI-generated 'real' faces of CGI characters - description in comments
So, I watched this Corridor Crew video on generating realistic faces from CG characters, and I wanted to try it out on the RDR2 models. The github link for the original work is here. If you guys are interested I can generate the faces of more characters from RDR2 and RDR1. I can even try some from RD Revolver.
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AI Generated Art Scene Explodes as Hackers Create Groundbreaking New Tools - New AI tools CLIP+VQ-GAN can create impressive works of art based on just a few words of input.
Combining these methods with CLIP allows you to generate images based on text. This one uses a face generator. https://github.com/orpatashnik/StyleCLIP
- [D] How to save latent code edited from StyleClip.
What are some alternatives?
When comparing aphantasia and StyleCLIP you can also consider the following projects:
stylegan - StyleGAN - Official TensorFlow Implementation
encoder4editing - Official implementation of "Designing an Encoder for StyleGAN Image Manipulation" (SIGGRAPH 2021) https://arxiv.org/abs/2102.02766
DeOldify - A Deep Learning based project for colorizing and restoring old images (and video!)
compare_gan - Compare GAN code.
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
NVAE - The Official PyTorch Implementation of "NVAE: A Deep Hierarchical Variational Autoencoder" (NeurIPS 2020 spotlight paper)
Colab-BigGANxCLIP
stylegan2-pytorch - Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement
Queryable - Run OpenAI's CLIP model on iOS to search photos.
pixel2style2pixel - Official Implementation for "Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation" (CVPR 2021) presenting the pixel2style2pixel (pSp) framework
sentencepiece - Unsupervised text tokenizer for Neural Network-based text generation.
alias-free-gan - Alias-Free GAN project website and code
aphantasia vs stylegan
StyleCLIP vs encoder4editing
aphantasia vs DeOldify
StyleCLIP vs compare_gan
aphantasia vs big-sleep
StyleCLIP vs NVAE
aphantasia vs Colab-BigGANxCLIP
StyleCLIP vs stylegan2-pytorch
aphantasia vs Queryable
StyleCLIP vs pixel2style2pixel
aphantasia vs sentencepiece
StyleCLIP vs alias-free-gan