Latent space: Difference between revisions
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[[File:Diagram-process-stable-diffusion-002.png|none|thumb|976x976px|Stable Diffusion, an overview of the inference process]] | |||
== What is the network that sustains this object? == | == What is the network that sustains this object? == | ||
* How does it move from person to person, person to software, to platform, what things are attached to it (visual culture) | * How does it move from person to person, person to software, to platform, what things are attached to it (visual culture) | ||
Revision as of 17:07, 9 July 2025
What is the network that sustains this object?
- How does it move from person to person, person to software, to platform, what things are attached to it (visual culture)
- Networks of attachments
- How does it relate / sustain a collective? (human + non-human)
From "Maps": _Secondly, there is a 'latent space'. Image latency refers to the space in between the capture of images in datasets and the generation of new images. It is a algorithmic space of computational models where images are, for instance, encoded with 'noise', and the machine then learns how to how to de-code them back into images (aka 'image diffusion')._
