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the End of Time - a children's story

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.

Comments

  • Can't wait to see where SA 6 lands us :)

  • It's funny, because this video piece isn't all that old, but what the latent diffusion image synthesis algorithm is doing in it is totally out of date.  Compared to the new latent diffusion image synthesis prototypes we're working with nowdays.

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  • I'm working out some new workflows incorporating these new AI tools and SA. I love the results. Next step is to workout some blending options for video creation.. so this latent diffusion seems like a good option, as well as optical flow (provides some nice effects)

  • I'd love to hear more about your current experiments.  What ai approaches are you using, and how are you incorporating SA into the workflow?

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