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sote-diffusion-cascade_alpha0

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@@ -73,7 +73,7 @@ decoder_output.save("cascade.png")
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  | dataset name | training done | remaining |
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  |---|---|---|
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  | **newest** | 000 | 230 |
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- | **late** | 000 | 206 |
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  | **mid** | 000 | 201 |
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  | **early** | 000 | 055 |
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  | **oldest** | 000 | 016 |
@@ -98,7 +98,7 @@ python /mnt/DataSSD/AI/Apps/kohya_ss/sd-scripts/finetune/tag_images_by_wd14_tagg
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  | dataset name | total images | total chunk |
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  |---|---|---|
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  | **newest** | 1.843.053 | 221 |
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- | **late** | 1.652.420 | 207 |
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  | **mid** | 1.609.608 | 202 |
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  | **early** | 442.368 | 056 |
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  | **oldest** | 128.311 | 017 |
@@ -120,7 +120,7 @@ aesthetic tags, quality tags, date tags, custom tags, character tags, rest of th
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  | tag | date |
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  |---|---|
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  | **newest** | 2022 to 2024 |
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- | **late** | 2019 to 2021 |
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  | **mid** | 2015 to 2018 |
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  | **early** | 2011 to 2014 |
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  | **oldest** | 2005 to 2010 |
 
73
  | dataset name | training done | remaining |
74
  |---|---|---|
75
  | **newest** | 000 | 230 |
76
+ | **recent** | 000 | 206 |
77
  | **mid** | 000 | 201 |
78
  | **early** | 000 | 055 |
79
  | **oldest** | 000 | 016 |
 
98
  | dataset name | total images | total chunk |
99
  |---|---|---|
100
  | **newest** | 1.843.053 | 221 |
101
+ | **recent** | 1.652.420 | 207 |
102
  | **mid** | 1.609.608 | 202 |
103
  | **early** | 442.368 | 056 |
104
  | **oldest** | 128.311 | 017 |
 
120
  | tag | date |
121
  |---|---|
122
  | **newest** | 2022 to 2024 |
123
+ | **recent** | 2019 to 2021 |
124
  | **mid** | 2015 to 2018 |
125
  | **early** | 2011 to 2014 |
126
  | **oldest** | 2005 to 2010 |