Hello Reader,

This is the second article to explain.

My artistic process is simple, find readymades, and destroy them until i can capture their essence. this is why i shyed away from the title of “glitch artist”, “ai artist“ or “collage artist”, or “story artist”… labels mean nothing to me. i don’t want to be labeled as an xyz artist, because art is in itself a constant change, and giving a label to change is a dogmatic form of thought

what i do is above all of those things, because it is fed by those artforms. i call it SRodan art. the only label to stop every other label given onto me.

it was march of 2022, exactly one year that i met with Machine Learning for art. before that, i have been a user of mubert, a generative model that you can train to make music with, by uploading your samples since 2019.
we didn’t have cool hyperreality then, only abstraction in its pure essence.

I want to keep that soul alive. As algorithms evolve, they begin to create a simulacra, a dirty mockery of reality, when they used to create their own realities. As ai became geistless, it became an overlord, instead of a friend. the current path shows that. I felt the need to show you another face of it, a face people discover rarely.

so i walked and learned.

My path led me to discover a way to create a visual system, that i named PLEROMA.

pleroma is devoid of labeling, and encouraging of experimentation

pleroma is jazz in digital plastic arts

pleroma is utopian art.

Pleroma is my response to the shoggoths of closed source blackboxes that want to own us. it is a reversal of trends, to show you how complex can value aligned machine learning can help us in our path of self discovery.

the system works like this:

get an init image by my own model, trained with diffusers on my own art

pass this init image onto img2img stable diffusion/analog diffusion.

curate outputs to digitally collage them. when the collage is done, apply embeddings made for pleroma, to finish up.

the rest is a mixed post process, that changes constantly, currently i work with digital offset printing simulation and ZX spectrum glitches.

analyzing one’s own art is a hard thing, because obviously, you are biased to give only positive feedback.

but i have found pleroma to be the best art partner to me, because it is reacting to your actions at every corner, and teaching you something new about yourself.

and i will give it to the world.

Pleroma’s Machine Learning counterparts will be published on github and huggingface, with no license. any partnerships with pleroma, beside myself, can use, abuse, change, and mold it to their liking. keep training them with your own datasets, ruin them, love them, copy them. it is yours to do so, whatever you choose to do with them.

with that, we will usher a new era of utopian arts. Thank you for being on my side.

Hello Reader,

This is the second article to explain.

My artistic process is simple, find readymades, and destroy them until i can capture their essence. this is why i shyed away from the title of “glitch artist”, “ai artist“ or “collage artist”, or “story artist”… labels mean nothing to me. i don’t want to be labeled as an xyz artist, because art is in itself a constant change, and giving a label to change is a dogmatic form of thought

what i do is above all of those things, because it is fed by those artforms. i call it SRodan art. the only label to stop every other label given onto me.

it was march of 2022, exactly one year that i met with Machine Learning for art. before that, i have been a user of mubert, a generative model that you can train to make music with, by uploading your samples since 2019.
we didn’t have cool hyperreality then, only abstraction in its pure essence.

I want to keep that soul alive. As algorithms evolve, they begin to create a simulacra, a dirty mockery of reality, when they used to create their own realities. As ai became geistless, it became an overlord, instead of a friend. the current path shows that. I felt the need to show you another face of it, a face people discover rarely.

so i walked and learned.

My path led me to discover a way to create a visual system, that i named PLEROMA.

pleroma is devoid of labeling, and encouraging of experimentation

pleroma is jazz in digital plastic arts

pleroma is utopian art.

Pleroma is my response to the shoggoths of closed source blackboxes that want to own us. it is a reversal of trends, to show you how complex can value aligned machine learning can help us in our path of self discovery.

the system works like this:

get an init image by my own model, trained with diffusers on my own art

pass this init image onto img2img stable diffusion/analog diffusion.

curate outputs to digitally collage them. when the collage is done, apply embeddings made for pleroma, to finish up.

the rest is a mixed post process, that changes constantly, currently i work with digital offset printing simulation and ZX spectrum glitches.

analyzing one’s own art is a hard thing, because obviously, you are biased to give only positive feedback.

but i have found pleroma to be the best art partner to me, because it is reacting to your actions at every corner, and teaching you something new about yourself.

and i will give it to the world.

Pleroma’s Machine Learning counterparts will be published on github and huggingface, with no license. any partnerships with pleroma, beside myself, can use, abuse, change, and mold it to their liking. keep training them with your own datasets, ruin them, love them, copy them. it is yours to do so, whatever you choose to do with them.

with that, we will usher a new era of utopian arts. Thank you for being on my side.