Why Image Synth?
Some might believe the height of art and human accomplishment is to make sure a select few can maintain the repetitive work they are most comfortable with. Others, like us, are more focused on how to draw light into the darkness... with image synthesis we mean that literally.
These AI models are tools that can:
1. Make mundane image output easier
2. Provide new ways of ideating for artists
3. Allow millions more to become artists
4. Will create loads of new creative jobs
5. Tool = poorly paid worker
Usually, when a new breakthrough in technology and tooling expands the limits of human capacity, many of those who were comfortable with the way things were (and whatever protections from competition they thought they had).
Image synthesis does exactly that. It changes what we are capable of by opening the prospect of universal access to powerful new instruments of self-expression, storytelling, creativity, and artistry, nearly obliterating artificial constraints on the supply of high quality content in the process. Depending on your economic school of thought, maybe that's a bad thing. We choose to see it as an opportunity to generate more value and diversify participation as every citizen of humanity with a decent internet connection gets to explore more vividly what it is that makes us human.
While low skilled, repetitive, race to the bottom artwork comissions for corporations with minimal dedication to the quality of work will get replaced by push-button prompt automation, we don't believe that's where the action is. Instead, even lower skilled almost-artists will now be more likely to discover and hone their latent talents – millions who never would have truly considered it possible before will now get to be artists. These machines enables them and society at large will benefit from this.
Don't even get us started on what happens when it spreads into machine to machine manufacturity and more profound decentralization... yet.