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@@ -31,11 +31,6 @@ https://x.com/_lyraaaa_/status/1841762752404369745
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  rank 32, trained for 3500 steps on over 200 labeled locations. trigger word ("geoguessr") not always necessary, just name a location
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- known model biases:
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- - v1 of this model leans heavily towards rural locations due to dataset bias, will be fixed in v2 as I collect more locations
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- - it managed to generalize to locations not available on geoguessr, like china, although it drifts towards generic locs
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- - its trained on lowercase country names, and flux is case sensitive. results may vary
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-
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  run this with diffusers:
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  ```py
@@ -75,6 +70,11 @@ display(Image(filename=filename))
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  ```
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  geoguessr_v2 with a much larger dataset and less location bias will be out eventually.
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  this model is a part of my much larger desterilizer project- a bit more here https://x.com/_lyraaaa_/status/1824003678086590646
 
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  rank 32, trained for 3500 steps on over 200 labeled locations. trigger word ("geoguessr") not always necessary, just name a location
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  run this with diffusers:
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  ```py
 
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  ```
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+ known model biases:
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+ - v1 of this model leans heavily towards rural locations due to dataset bias, will be fixed in v2 as I collect more locations
75
+ - it managed to generalize to locations not available on geoguessr, like china, although it drifts towards generic locs
76
+ - its trained on lowercase country names, and flux is case sensitive. results may vary
77
+
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  geoguessr_v2 with a much larger dataset and less location bias will be out eventually.
79
 
80
  this model is a part of my much larger desterilizer project- a bit more here https://x.com/_lyraaaa_/status/1824003678086590646