clip-guided-diffusion
stylegan2-ada
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clip-guided-diffusion | stylegan2-ada | |
---|---|---|
5 | 21 | |
440 | 1,781 | |
- | 0.4% | |
1.8 | 0.0 | |
about 2 years ago | 6 months ago | |
Python | Python | |
MIT License | GNU General Public License v3.0 or later |
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clip-guided-diffusion
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[D] Which GAN is Jon Rafman using?
According to his bio he uses "clip-guided diffusion". Never heard of it before, but it appears to not use GANs. Text model and image classifier.
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Someone posted my art on this subreddit and it reached the front page without credit, so I thought I'd post something myself
But yeah this software generates similar but to be fair not nearly as “aesthetic” gifs with a single terminal command and actually 0 photoshop.
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AI-generated image for "ghost town at night"
I used CLIP guided diffusion to generate the image (see OpenAi CLIP).
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Smoggy place. By AI
I used this https://github.com/afiaka87/clip-guided-diffusion. No reference at all only a prompt "Steampunk town"
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Trying out new method of generating pixels from text
I used this method. It consumes about 8gb of vram and takes about 20 minutes to generate 1 image. You can also import it in colab. And if you get an unlucky seed, you have to reset the timer and start crafting your items again.
stylegan2-ada
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Getty Images will cease to accept all submissions created using AI generative models
If you smudge just a few locations I doubt it would fool a simple discriminator. You could also train a discriminator that is robust to post-processing by using augmentations. This was popular with StyleGAN models: https://github.com/NVlabs/stylegan2-ada
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Someone posted my art on this subreddit and it reached the front page without credit, so I thought I'd post something myself
https://github.com/NVlabs/stylegan2-ada + clip guided diffusion
- [P] Play around with StyleGAN2 in your browser
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AI will shape up the workflow of the future. Here's a simple implementation of NVidia's StyleGAN inside Blender!
StyleGAN2-ADA is a neural network good at learning styles from images, you can give it a dataset and 'learn' its style into a file (a trained model). In this example, I load a model and given a random seed, generate a random texture which is applied to the object's material.
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How do you generate those latent walk animations?
You have to modify the code, it's line 60 in https://github.com/NVlabs/stylegan2-ada/blob/main/generate.py
- [D] Do I need to apply spectral norm to my embedding matrix when training a conditional W-GAN?
- Can I train a model on 100 images of homes and have it draw a couple "average" homes?
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New 'The Sculpture 3'. 3d sculpting + neural network
no i dont.. but as for training - i just use default tf stylegan2-ada repo ( https://github.com/NVlabs/stylegan2-ada )
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[R] EigenGAN: Layer-Wise Eigen-Learning for GANs
You should check stylegan-2 ada, it works on colab and can be trained less than 12 hours tensorflow implementation
- gamma
What are some alternatives?
discoart - 🪩 Create Disco Diffusion artworks in one line
awesome-pretrained-stylegan2 - A collection of pre-trained StyleGAN 2 models to download
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
blended-diffusion - Official implementation for "Blended Diffusion for Text-driven Editing of Natural Images" [CVPR 2022]
stylegan2_pytorch - A Pytorch implementation of StyleGAN2
stylegan2 - StyleGAN2 - Official TensorFlow Implementation
LiminalGan - A stylegan2 model trained on liminal space images
GAN_stability - Code for paper "Which Training Methods for GANs do actually Converge? (ICML 2018)"
EigenGAN-Tensorflow - EigenGAN: Layer-Wise Eigen-Learning for GANs (ICCV 2021)
ziyadedher - 🔥🧠 Exclusive behind-the-scenes for ziyadedher.com!
stable-diffusion-webui - Stable Diffusion web UI