“Legend”
Channeling the fire myths of the world, Prometheus, the Phoenix, the gods of the sun and flame. A story of technology brought to humans; to myths of destruction and rebirth. To be immortal; to be a god; it is always a paradox of fire and technology.
The morality of the fire is always in question but we desire it and fear it. And yet it has changed us, we have learned so much since we first touched fire. We used it to destroy the wood, smelt the metal and build the chip. And now we teach and show the fire what we know; what we create and our reflection is there telling us our faults. The GAN is but a single neuron in a blazing star; a greater fire is coming.
Exploring GAN as an art form
The goal for GAN seems to have been to create a way to ask it for a picture of something and it would draw it. The technology was invented to control and make it as realistic as possible. Bård subverts this to use it chaotically and abstractly; the opposite of what the Ai researchers had in mind.
This project is an exploration of the progression in training of the fire and of the improvements in GANs over time. GAN technologies were developed by researchers and programmers but then utilized by artists in many different forms. This project celebrates both. Inspired by the technology and the artists who have utilized it Bård remixes the code and the imagery into a new form of fire. This history will be seen in the art and in the traits.
Progression of GAN technology
Images and videos are generated from 14 different models one of which is aiCAN (Playform) and different resolutions of DCGAN, Stylegan 1,2 and 3, bigGan, biGAN, AttnGan, pix2pix and more. As the art is revealed the historical origins of the fire will be unfolded. The history of the technology, researchers, developers and the artists will be celebrated in Painting With Fire. Look in the descriptions and the traits for the history of GAN Fire. See the GAN Timeline for reference.
In each art piece minted you will find a historical reference to a paper, code, art piece, developer, researcher or artist who has used GAN or Ai technology. Look for it in the traits and in the art description.
There is a beauty in the noise, the randomness before the resolution into fire.
Training
For this project Bård collected images of fire from photos and videos he had captured, art pieces he had creted before, oscilloscope drawings of fire, from public domain sources and from lovers of his art. Thanks to Kelly LeValley, Shortcut, ezra shibboleth and others for the fire training material.
The images of fire were used to train over 13 different models of 13 different types of GAN technologies from some of the earliest code repositories and progressing to the dawn of the diffusion models. You can see the progression in quality over time and many of the anomalies an artistic interpretation of each class of GAN.
Many of the pieces show the training progression with in a training run. Each round of a GAN training is called an epoch. Early epochs yield an abstract form of fire, distortions and glitches as the generator and descriminator work together to emulate what fire looks like. At times the model collapses and progress is lost for an epoch but returns even more powerfully in the next round of training.
Traits
Technique: This contains the name of the technique the artist has used to generate the image coming out of the model or the way the model was trained. Garbage in garbage out as they say in software development.
Normal Inference: using the generator as originally intended. No special tricks.
Forced Oversize: A feature in DCGAN that allows for the generation of two or more “objects” to be generated into an oversized image. It can generate takes two or more objects of fire and combines them but gets confused because it can’t line up the images correctly. See Layout trait for number of subjects in the oversized image. Some are 100 fires all mixed in one large image. The more subjects per image the larger the resolution.
Latent Spacewalk: This is a technique that works on StyleGAN. The artist choses key frames and then asks the code to transition between these points in the vector space of the model. It moves through the multi dimentional space and outputs frames to create a video.
Training Progression: A series of images curated by the artist from the output as the model is trained over time. Each epoch is used to generate a reference image. The artist created a video of the training process.
Generator code bug: Bård introduced a bug into the generator code that created a glitch in the generation of the layers of the images as it gets sized. It changed the resolution of the output and created a new effect of fire.
Next Frame Prediction: A specific technique to make Pix2Pix generate a prediction of the next frame. After it is trained on one video the artist gives it single frame and it predicts the next frame and based on that frame it predicts the next frame, until the video degenerates into abstraction.
Artist Tributes
Mixed into the 200 art pieces are a few inspired by other artists using GAN. In some Bård attempted to recreate the training set they used and in others he utilized their outputs to train a new model. These artists include Pindar Van Arman, Robbie Barrat, Shortcut, LizaGrace and Obvious.
The use of a Generative Adversarial Network (GAN) to create images of fire infuses the work with a contemporary relevance, as it represents a frontier where technology meets creativity. GANs, by their nature, involve a dialogical process where two neural networks challenge and refine each other’s outputs, which is metaphorically mirrored in the fiery interplay of colors and textures within each square. This speaks to the historical rebellion against traditional art techniques and the embrace of emergent systems to create art. – Artist Insight a custom GPT art critic created by Bård Ionson
Bård’s First GAN Art from 2018
This selection used Art-DCGAN based on DCGAN trained on oscilloscope art. Bård’s first model and first NFT mints
GAN Timeline
2014
GAN – Goodfellow
Ian; Pouget-Abadie, Jean; Mirza, Mehdi; Xu, Bing; Warde-Farley, David; Ozair, Sherjil; Courville, Aaron; Bengio, Yoshua (2014). Generative Adversarial Nets (PDF). Proceedings of the International Conference on Neural Information Processing Systems (NIPS 2014). pp. 2672–2680.
Read more2014
BiGAN – Goodfellow
Ian; Pouget-Abadie, Jean; Mirza, Mehdi; Xu, Bing; Warde-Farley, David; Ozair, Sherjil; Courville, Aaron; Bengio, Yoshua (2014). Generative Adversarial Nets (PDF). Proceedings of the International Conference on Neural Information Processing Systems (NIPS 2014). pp. 2672–2680.
Read moreNov 2014
Conditional GANs (cGANs) Introduced by Mirza and Osindero in 2014
cGANs represented a significant advancement by allowing the generation of images conditioned on certain inputs, such as class labels. This innovation enabled more controlled and targeted image generation.
Read moreNov 2015
DCGAN – Radford
Alec; Metz, Luke; Chintala, Soumith . “Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks”. ICLR. S2CID 11758569. a pivotal work in making GAN architectures more stable and robust, particularly for image generation.
Read more2016
Gene Kogan
“AI Mirror”: Kogan is known for his works that explore AI’s role in creativity and society. His “AI Mirror” is an interactive installation that uses GANs to transform reflections in real-time.
Read moreJan 2017
Wasserstein GAN (WGAN): Introduced by Martin Arjovsky
Soumith Chintala, Léon Botton in 2017, WGAN addressed training stability issues in GANs by using a different approach to measure the distance between generated and real data distributions. This innovation led to more stable training of GANs and improved quality of generated images.
Read moreMarch 2017
CycleGAN
enabled unpaired image-to-image translation such as turning horses into zebras or apples into oranges, without needing paired training data. This was a major step forward in practical applications of GANs in image processing and artistic creation. Jun-Yan Zhu, Taesung Park, Phillip Isola, Alexei A. Efros
Read moreJune 2017
CAN: Creative Adversarial Networks
Generating “Art” by Learning About Styles and Deviating from Style Norms June 2017 Ahmed Elgammal, Bingchen Liu, Mohamed Elhoseiny, Marian Mazzone We propose a new system for generating art. The system generates art by looking at art and learning about style; and becomes creative by increasing the arousal potential of the generated art by deviating from the learned styles.
Read more2017
Memo Akten
An artificial neural network looks out onto the world and tries to make sense of what it is seeing. But it can only see through the filter of what it already knows.
Read moreAug 8 2017
Robbie Barrat forks DCGAN to Art-DCGAN and increases size of model to 128 pixels
Read moreAug 15, 2017
Robbie Barrat uploads model weights
added model weights he trained on portraits landscapes and nudes.
Read moreOctober 2017
Age of the AI Artisans exhibition – Dr. Ahmed Elgammal & AICAN
first AICAN exhibition in LA, based on CAN
Read more2017
SRGAN
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network. Christian Ledig, Lucas Theis, Ferenc Huszar, Jose Caballero, Andrew Cunningham, ´ Alejandro Acosta, Andrew Aitken, Alykhan Tejani, Johannes Totz, Zehan Wang, Wenzhe Shi
Read more2018
Pindar Van Arman creates robot and Ai software to paint AI Imagined Faces
AI Imagined Faces by Pindar Van Arman wins Robot Art 2018 Incorporating machine-learning technology, Pindar was able to paint evocative portraits with varying degrees of abstraction.
Read more2018
BigBiGan
Jeff Donahue, Karen Simonyan, Large Scale Adversarial Representation Learning, 2018
Read more2018
ThisPersonDoesNotExist.com Launched by Philip Wang
using NVIDIA’s StyleGAN, this website generated endless streams of hyper-realistic human faces, showcasing the capabilities of GANs to the general public.
Read more2018
Place of Many (Brandi Kyle) Known For: Artbreeder making GAN art from acrylic fluid painting
Read more2018
Dr. Ahmed Elgammal creates Freya
Green Genesis, Tropical Inception, Flora, Psychedelic Wisteria
Read more2018
Tom White “Perception Engines” A visual overview examining the ability of neural networks to create abstract representations from collections of real world objects.
Read more2018
Ganbreeder is released now known as Artbreeder. is a collaborative
machine learning-based art website. Using the models StyleGAN and BigGAN, the website allows users to generate and modify images of faces, landscapes, and paintings, among other categories. https://github.com/joel-simon/ganbreeder
Read more2018
Muse.s Endormie.s
Sold at the Grand Palais on Feb 13th 2018 after being assembled on July 2017 from the children of the cloud thousands of AI-generated portraits of all genders, ages and origins generated in 2016 by ALAgrApHY.
Read more2018
ProGAN: Progressive growing of Generative Adversarial Networks
Tero Karras, Timo Aila, Samuli Laine, Jaakko Lehtinen
Read moreApril 2018
HBO Silicon Valley TV series chose an AICAN art work HBO Silicon Valley TV series
chose an AICAN art work to be shown in an episode of the show. Ahmed Elgammal
Read more2018
Sofia Crespo “Neural Zoo”
Crespo is known for her work focusing on natural patterns and biological forms created with neural networks, including GANs
Read more2018
Bård Ionson writes SAGE Anomaly
in words and imges fusing the physical world with fiction and GAN images. A science fiction story that continues to this present time and into the future.
Read moreSeptember 1, 2018
BigGAN – Brock
Andrew; Donahue, Jeff; Simonyan, Karen. Large Scale GAN Training for High Fidelity Natural Image Synthesis. International Conference on Learning Representations 2019. arXiv:1809.11096. BigGAN, High-Resolution Image Generation:.
Read moreOct 25 2018
Obvious
“Edmond de Belamy,” In 2018, a collective named Obvious created “Edmond de Belamy,” an artwork generated by a GAN. This piece was one of the first instances of GAN-generated art being sold at a major auction house (Christie’s), fetching an impressive price and marking a significant moment in the intersection of AI and art.
Read moreNovember 2018
Image-to-Image Translation with Conditional Adversarial Networks Phillip Isola
Jun-Yan Zhu, Tinghui Zhou, Alexei A. Efros a significant development in image-to-image translation using conditional GANs. It showed how GANs could be used for tasks like turning sketches into photographs or day scenes into night scenes.
Read moreNovember 2018
Bård Ionson mints his first art work on SuperRare as an NFT. Alien Intelligence
Read moreDecember 2018
AI art exhibiting for first time in Art Basel Miami
Dr. Ahmed Elgammal & AICAN at Art Basel Miami
Read more2019-2020
Kevin Abosch conceptual artist creates Nascent Space
Kevin Abosch creates conceptual GAN art using his own photographs in a series called Nascent Space. Also created Nail(2019) a GAN generation using photos of nails
Read moreFebuary 2019
AICAN Ahmed Elgammal
first AI solo exhibition in NYC gallery for AICAN, at HG Contemporary
Read moreMarch 2019
Mario Klingemann
“Memories of Passersby I,” 2019, Sotheby’s Auction:** Klingemann, a pioneer in AI art, used a GAN to create a continuously changing video stream of portraits. This artwork was sold at Sotheby’s, marking another significant sale of GAN-generated art. $52,634
Read moreMarch 2019
Ai CryptoCoins by Bård Ionson
on SuperRare – art of coins using DCGAN – 22 on SR and 1 on KnownOrigin
Read moreMay 2019
Rare Art Festival 2 exhibits GAN art
Bård Ionson exhibited GAN art Air-Coin-Airdrop & The HODL Frame of North Bay Canada & Keven Abosch exhibited Expulsion 16.7 (2017) & Martin Lukas Ostachowski exhibited also.
Read moreMay 2019
High-Fidelity Image Generation With Fewer Labels Mario Lucic
Michael Tschannen, Marvin Ritter, Xiaohua Zhai, Olivier Bachem, Sylvain Gelly May 2019 https://arxiv.org/pdf/1903.02271.pdf
Read moreMay 24, 2019
SAGAN
Zhang Han; Goodfellow, Ian; Metaxas, Dimitris; Odena, Augustus. “Self-Attention Generative Adversarial Networks”. International Conference on Machine Learning. PMLR: 7354–7363.
Read more2019
GauGAN: Semantic Image Synthesis with SPADE Semantic Image Synthesis with Spatially-Adaptive Normalization
Taesung Park, Ming-Yu Liu, Ting-Chun Wang, Jun-Yan Zhu
Read more2019
“Faces In The Cloud”
Bård Ionson paints an oil painting of a GAN generated image “Faces In The Cloud” and mints it as NFT on Codex.
Read moreJune 2019
NVIDIA introduced StyleGAN in 2018
which represented a major advancement in the field of computer-generated imagery. StyleGAN significantly improved the quality and resolution of generated images, leading to hyper-realistic results. This technology became widely known for its ability to generate highly detailed human faces.
Read more2019
Sarah Zucker
Digital artist using analog methods to create art that reflects the past into the future.
Read more2019
Kate Crawford and Trevor Paglen
“Excavating AI: The Politics of Training Sets for Machine Learning (September 19, 2019) https://excavating.ai
Read more2019
Anna Ridler
“Mosaic Virus” used a GAN to generate tulip images based on Bitcoin price fluctuations, reflecting on the tulip mania and digital currency.
Read more2019
ProofOfArtwork (Hans Benzin) collaborates with Bård Ionson
on two Ai music videos using Ai music by Hans and Pix2Pix interpretations of the music by Bård Ionson. Bård again used oscilloscope animations of the music to train a model and generate a video.
Read more2019
Shortcut
SuperRare Artist and creator of Shortcuts. Artist used Ganbreeder and Artbreeder
Read more2019
ProofOfArtwork (Hans Benzin) /h3>
Known For: Cryptoportraits and AI music albums in PROOFofSOUND<
Read more2019
Bitcoin
Creator of many Early AI Art Projects : digital art collective etherislands, abstract art collection, Ai human art, nfttracks
Read more2019
Infinite Skulls AI Paintings By Barrat And Barrot
Painter vs Ai artist. Creating a GAN model from paintings of skulls.
Read more2020
Mattia Cuttini
creates GAN art using Playform and his art of cutouts and rubber stamps
Read moreJune 2020
StyleGAN 2 – Karras
Tero; Laine, Samuli; Aittala, Miika; Hellsten, Janne; Lehtinen, Jaakko; Aila, Timo (June 2020). “Analyzing and Improving the Image Quality of StyleGAN”. 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE. pp. 8107–8116. arXiv:1912.04958. doi:10.1109/cvpr42600.2020.00813. ISBN 978-1-7281-7168-5. S2CID 209202273
Read more2020
Bård creates Fountain a 501 piece collection of images created from a StyleGan 2 model of toilets.
Read more2020
Bård collaborates with Lawrence Lee
a notable artist known for his visions of the American southwest. They created a series of 13 artpieces called Convergence. Bård spent months training GAN models of the 50 years of paintings by Lawrence Lee. Released on SuperRare in 2020
Read more2020
Bård collaborates with Gisel X
on “Collaboration Of Dreamtime” a GAN study of a journey of a person and a landscape.
Read more2020
Bård Ionson’s “The Gate”
sells for a record 8.2 Eth on Async.art 24 hour animated GAN art
Read more2020
Bard creates “The Android of Dorian Grey VI”
on AsyncArt a day and night rotating GAN art. Sold for 5 Eth
Read more2020
Bard creates “Dr. Jekyll is Mr. Hyde”
a GAN art that changes from day to night. It is an early example of extending the frame of GAN art so it is not square.
Read more2020
Hacking the Tower “Decentralized Culture Lost”
by Bård shown on the D&F Tower in Denver
Read more2020
CADAF 2020 onlne showcased these works by Bård
Global Reality, Artificial Artist (Deep Fake Max), Dreams of Internet Dweller Seven, Latent Spacecraft, The Artificial Intelligence Spawns, SAGE Anomaly Redux, Welcome To Earth, Artificial Intelligence Triality, Maximum TV Ratings
Read more2020-2021
AI More Than Human Exhibition
This international exhibition, which traveled to various locations including the Barbican in London, showcased the role of AI in art and included GAN-generated artworks.
Read more2021
TransGAN
Jiang, Yifan; Chang, Shiyu; Wang, Zhangyang (December 8, 2021). “TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up”. arXiv:2102.07074 [cs.CV].
Read moreJune 23, 2021
StyleGAN 3 – Timo
Karras, Tero Aittala, Miika Laine, Samuli Härkönen, Erik Hellsten, Janne Lehtinen, Jaakko Aila (June 23, 2021). Alias-Free Generative Adversarial Networks. OCLC 1269560084.
Read moreAug 2021
Jake Elwes: “Zizi – Queering the Dataset”
including those using GANs, have been part of NFT exhibitions and sales. His work typically explores AI ethics, queerness, and the nature of generative algorithms.
Read more2021
VQ-VAE-2 for High Fidelity Image Synthesis
Ali Razavi, Aaron van den Oord, Oriol Vinyals The Vector Quantized Variational Autoencoder (VQ-VAE-2) showed impressive results in generating high-fidelity images, pushing the envelope in terms of image quality and resolution in GANs.
Read more2021
Scott Eaton
“Entangled”: Eaton’s work combines classical artistic techniques with advanced computer algorithms, including GANs, to create sculptures and other artworks.
Read more2019 minted in 2021
Bard’s Freaky Faces
are made from faces made with SPADE GauGAN and some are animated using thin plate spine motion model. The faces were constructed from the artists drawings of faces with extra eyes noses and mouths.
Read more2021
CryptoArt Revolution Paris Exhibition
“Knights of the Apocalypse”, “Color of Crypto by Bård Ionson
Read more2021
Outside Forces Art Enables Gallery “Presidential Portrait for 2017- 2021”
by Bård Ionson
Read more2021
Abstract Art in the Age of New Media
Museum Of Contemporary Digital Art “Life Is Green”, “Alien Life of Venus” Bård Ionson
Read moreJan 2022
Linda Dounia “Dust is hard to breath” based on 2
000 images based on her own acrylic paintings and inspired by the Fremen in Dune.
Read more2022
Distortion Genius: Bård Ionson
a Singular Artist for a New Age written by William Peaster
Read more2022
“The Dance (of Fire)” by Bård Ionson
exhibit at Ça sent le Crypto-Sapin Paris NFT Factory
Read more2022
CADAF 2022 New York City
Bård Ionson exhibits and sells multiple GAN art pieces. Soul Scroll interactive blockchain prayer machine is also exhibited for the first time.
Read moreApr 2022
VQGAN-CLIP: Open Domain Image Generation and Editing with Natural Language Guidance
Katherine Crowson, Stella Biderman, Daniel Kornis, Dashiell Stander, Eric Hallahan, Louis Castricato, Edward Raff – innovation in prompting a model with language to produce images
Read more2022
Crypto Art Begins
book is released featuring art of 50 cryptoartists including Bård Ionson
Read more2022
Anne Spalter – Ai Spaceships (Night Cafe)
Anne Spalter is an established digital mixed-media artist known for her innovative use of technology including artificial intelligence and GANs (Generative Adversarial Networks), in creating art
Read more2023
Mattia Cuttini “Back And Forth”
exhibition NFTFactory Paris contains multiple GAN created pieces.
Read more2023
Kill Them All”
For the second time Bård Ionson and Lawrence Lee collaborate on “Kill Them All” made from GAN and hand drawings curated by Eleonora Brizi of Breezy Gallery
Read more2023
CyborgDAO
“Ionson is one of the first crypto artists to mint on the blockchain in 2018. With an algorithmic style which favors cohesion of color where edges blend objects meld together while subjects always remain recognizable in both political and crypto-specific artwork.”
Read more2023-2024
Bård Ionson’s work called “Battledore” is donated to the Oxford Bodleian Libraries c
ollection and appears in the Alphabets Alive Exhibition. The images from this work were used to train Bårds first GAN model used for many early pieces.
Read moreApril 2023
“Deep Fake Max (Artificial Artist)” donated to the Pompidou Museum Paris
Bård’s art “Deep Fake Max (Artificial Artist)” donated by Dan Polko to the Pompidou Museum Paris
Read moreAug 2023
Collector: Burcin burcin.eth
“From the day zero I figured out that there s a digital art communityBard’s style and approach caught my attention. I’m big fan of experimenting and it’s guaranteed to find it in every aspect of Bard Ionson art as crafted masterfully. Such a bright and wise mind who plays with curiosity in many different levels”
Read moreJune 2023
Bård is slected for the NFT Art Prize 2023 by Arab Bank Switzerland for ‘Future Is Where East & West Touch” not GAN art but made with Stable Diffusion
Read moreMarch 2023
La Trahison de l’IA (The Treachery of Ai)
100% created by artificial intelligence – or not exhibition NFT Factory selected Bård for an Ai art exhibition in 2023. Bård produced “La Trahison de l’IA (The Treachery of Ai)” A self portrait of his Ai self speaking French.
Read more