updates Junko README to reflect correct training resolution
Browse files- junko/README.md +3 -2
junko/README.md
CHANGED
@@ -37,7 +37,7 @@ For her hangry expression: `open mouth, wavy mouth, skin fang, (tearing up, cryi
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- These were reduced because the AI was generating too many "multiple views" images.
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- 3 batch size, 4 epochs
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- `(131 * 9 + 9 * 6) / 3 * 4` = 1644 steps
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- 0.
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- Initially tagged with WD1.4 swin-v2 model. Tags pruned/edited for consistency.
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- `constant_with_warmup` scheduler
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- 1.5e-5 text encoder LR
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@@ -45,7 +45,8 @@ For her hangry expression: `open mouth, wavy mouth, skin fang, (tearing up, cryi
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- 1e-5 optimizer LR
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- Used network_dimension 128 (same as usual) / network alpha 128 (default)
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- Resized to 32 after training
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- Training resolution
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- Trained without VAE.
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- [Dataset can be found on the mega.co.nz repository.](https://mega.nz/folder/SnQDnCRD#ruLvChZGf2vQtWJN87Qs0Q)
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- These were reduced because the AI was generating too many "multiple views" images.
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- 3 batch size, 4 epochs
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39 |
- `(131 * 9 + 9 * 6) / 3 * 4` = 1644 steps
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+
- 0.0749 loss
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- Initially tagged with WD1.4 swin-v2 model. Tags pruned/edited for consistency.
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- `constant_with_warmup` scheduler
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- 1.5e-5 text encoder LR
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- 1e-5 optimizer LR
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- Used network_dimension 128 (same as usual) / network alpha 128 (default)
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- Resized to 32 after training
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- Training resolution 768x768.
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- Reduced from 832x832. Junko doesn't really have many very fine details that benefit from the higher resolution, and I think training at 832x832 may negatively impact the quality of images generated at lower resolutions.
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- Trained without VAE.
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- [Dataset can be found on the mega.co.nz repository.](https://mega.nz/folder/SnQDnCRD#ruLvChZGf2vQtWJN87Qs0Q)
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