ecologías - F2

the new ecologies of human and machine, linking the output to climate data (NASA GISS Surface Temperature Analysis (GISTEMP v4)) and to the activity of pieces from the same ecology that are released on the Tezos blockchain, on fx(hash). The distortions are linked to those pieces and to climate data. See below or the browser console in live view for a command reference to explore the piece.

each output is created from a combination of images pregenerated with stable diffusion 1.4, using custom models trained on the author's own nude self-portraits and three generative systems that the author created. Naked human - naked machine. The images are combined using generative techniques.

Marcelo Soria-Rodríguez, @msoriaro
CC BY-NC-SA 4.0, https://creativecommons.org/licenses/by-nc-sa/4.0/

Built on p5.js + glsl + stable diffusion
Temperature anomalies data from:
GISTEMP Team, 2023: GISS Surface Temperature Analysis (GISTEMP), version 4. NASA Goddard Institute for Space Studies. Dataset accessed 2023-08-05 at data.giss.nasa.gov/gistemp/.

URL commands to append in live view
append &pd=N (N a number) to increase/decrease resolution. Default in most systems is 1 or 2.
append &uComp=0,1 or 4 to obtain different views
append &uGl=0 to remove climate distortions
append &tzAct=N to set the level of distortion due to activity in the related pieces released on the Tezos blockchain. N=1 very high, N>10000 negligible
append &yearB=YYYY (year between 1890 and 2022) to see climate distortion from that year
append &autoReload=0 to prevent the piece from reloading new outputs periodically
append &refreshTimeout=N to set the piece to generate a new output every N seconds

Keyboard commands
press d to input climate data in this format: download the file https://data.giss.nasa.gov/gistemp/tabledata_v4/GLB.Ts+dSST.txt, open in text editor, copy entirely and paste in the first field.
press s to save current image in current resolution
press q to stop auto generation of images (one every 120 seconds)
press l to stop the animation