Art Processing Sharing Blog
This video is an example of a latent diffusion generative ai drift session. The theme is 'the End of Time - a children's story'.
The imagery was generated using a LAION-400M latent diffusion multi-modal generative ai text to image synthesis model. The animation was put together in Studio Artist using Transition Contexts and Paint Action Sequence (PASeq) processing. You see the imagery presented in the order it was created in the live drift session. Drifting is an art process that we originated working with live mutation of procedural MSG (modular synthesized graphics) generative effects in Studio Artist. Here we are extending the live drift concept by working with generative ai image synthesis algorithms. The particular generative synthesis algorithm we are using here is a multi-modal latent diffusion algorithm, but you could just as easily be using a VQGAN or other generative image synthesis techniques.
Drifting is an example of a human artist and a generative ai system working together to create something over time. You can think of drifting as an interactive exploration of the adjustable parameter space of a generative algorithm or art creation system. The idea is to slowly change or adjust the parameter space of the system by some small amount, observe the results, and then continue that cycle. The changes for this particular drift being additional textural input added to or subtracted from the multi-modal text to image generative algorithm, as well as individual adjustments of parameters associated with the image synthesis model. Over time, you are slowly drifting through the generative algorithm's space of creative possibilities.
