updates README for several characters
Browse files- arona/README.md +0 -1
- mari/README.md +0 -1
- mutsuki/README.md +0 -1
- reisa/README.md +0 -1
- shizuko/README.md +0 -1
- sora/README.md +0 -1
arona/README.md
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@@ -34,7 +34,6 @@ Not all tags may be necessary.
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## Training
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*Exact parameters are provided in the accompanying JSON files.*
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- Trained on a set of 250 images.
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- Datset included a mixture of SFW/NSFW
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- 5 repeats
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- 3 batch size, 4 epochs
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- `(250 * 5) / 3 * 4` = 1667 steps
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## Training
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*Exact parameters are provided in the accompanying JSON files.*
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- Trained on a set of 250 images.
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- 5 repeats
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- 3 batch size, 4 epochs
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- `(250 * 5) / 3 * 4` = 1667 steps
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mari/README.md
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@@ -34,7 +34,6 @@ For her swimsuit: `black one-piece swimsuit, frilled swimsuit, frills, paw print
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## Training
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*Exact parameters are provided in the accompanying JSON files.*
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- Trained on a set of 253 images
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- Datset included a mixture of SFW/NSFW.
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- 3 repeats
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- 3 batch size, 7 epochs
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- `(253*3) / 3 * 7` = 1771 steps
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## Training
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*Exact parameters are provided in the accompanying JSON files.*
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- Trained on a set of 253 images
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- 3 repeats
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- 3 batch size, 7 epochs
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- `(253*3) / 3 * 7` = 1771 steps
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mutsuki/README.md
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@@ -3,7 +3,6 @@ This is my first time doing any sort of Stable Diffusion training so I went thro
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# Training
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*All parameters are provided in the accompanying JSON files.*
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- Trained on 138 curated images, repeated 8 times (1104 total images / 3 batchsize = 368 iterations)
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- Dataset included a mixture of SFW and NSFW
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- I pruned most images with white backgrounds because I felt they might have been negatively impacting my results early on, but in hindsight I think that was bad training parameters instead.
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- Dataset was tagged with WD1.4 interrogator. Shuffling was disabled.
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- `mutsuki, blue archive` were added to the start of each caption.
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# Training
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*All parameters are provided in the accompanying JSON files.*
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- Trained on 138 curated images, repeated 8 times (1104 total images / 3 batchsize = 368 iterations)
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- I pruned most images with white backgrounds because I felt they might have been negatively impacting my results early on, but in hindsight I think that was bad training parameters instead.
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- Dataset was tagged with WD1.4 interrogator. Shuffling was disabled.
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- `mutsuki, blue archive` were added to the start of each caption.
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reisa/README.md
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@@ -29,7 +29,6 @@ For her normal outfit: `school uniform, grey shirt, blue jacket, pleated skirt,
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## Training
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*Exact parameters are provided in the accompanying JSON files.*
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- Trained on a set of 89 images
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- Datset included a mixture of SFW/NSFW
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- 13 repeats
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- 3 batch size, 4 epochs
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- `(89*13) / 3 * 4` = 1543 steps
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## Training
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*Exact parameters are provided in the accompanying JSON files.*
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- Trained on a set of 89 images
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- 13 repeats
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- 3 batch size, 4 epochs
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- `(89*13) / 3 * 4` = 1543 steps
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shizuko/README.md
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@@ -37,7 +37,6 @@ Her shotgun sling tends to show up on her normal outfit and is a little hard to
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## Training
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*Exact parameters are provided in the accompanying JSON files.*
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- Trained on a set of 125 images; 88 swimsuit, 37 normal.
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- Datset included a mixture of SFW/NSFW
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- 11 repeats for normal outfit
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- 8 repeats for swimsuit outfit
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- 3 batch size, 4 epochs
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## Training
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*Exact parameters are provided in the accompanying JSON files.*
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- Trained on a set of 125 images; 88 swimsuit, 37 normal.
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- 11 repeats for normal outfit
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- 8 repeats for swimsuit outfit
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- 3 batch size, 4 epochs
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sora/README.md
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@@ -32,7 +32,6 @@ Weight 1 is suggested.
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## Training
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*Exact parameters are provided in the accompanying JSON files.*
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- Trained on a set of 128 images
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- Datset included a mixture of SFW/NSFW. Sora has more NSFW than most students.
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- 9 repeats
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- 3 batch size, 4 epochs
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- `(128*9) / 3 * 4` = 1536 steps
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## Training
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*Exact parameters are provided in the accompanying JSON files.*
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- Trained on a set of 128 images
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- 9 repeats
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- 3 batch size, 4 epochs
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- `(128*9) / 3 * 4` = 1536 steps
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