Delete mega_file
Browse files- mega_file/Kuon_2800.safetensors +0 -3
- mega_file/Noa.safetensors +0 -3
- mega_file/Pokemon - Mallow v1 (2).safetensors +0 -3
- mega_file/concept_pronebone.safetensors +0 -3
- mega_file/concept_pronebone.txt +0 -22
- mega_file/japanese clothes v2.safetensors +0 -3
- mega_file/japanese clothes.txt +0 -22
- mega_file/kuon.txt +0 -3
- mega_file/michiru-v4-epoch03.safetensors +0 -3
- mega_file/michiru.txt +0 -31
- mega_file/noa.txt +0 -8
- mega_file/pee+lactation.safetensors +0 -3
- mega_file/pee_lactation.txt +0 -10
- mega_file/pregnant.safetensors +0 -3
- mega_file/pregnant.txt +0 -16
- mega_file/quasarcake-last.safetensors +0 -3
- mega_file/virgin killer sweater.safetensors +0 -3
- mega_file/virgin.txt +0 -0
mega_file/Kuon_2800.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:27e0f9c0706a83c03644f27c647096ede1a6074045278d570192116a3d2a3996
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size 151074558
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mega_file/Noa.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:090e5c5cffe31728dbcf89d4800d55091d8a985296d9f5f7d23544b9c616ca63
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size 18951616
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mega_file/Pokemon - Mallow v1 (2).safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:8a74c22d1c2616218a7a8df4d4de577cf87570e715c8d9adc5af5301ef7734a6
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size 151074560
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mega_file/concept_pronebone.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:ef26bc9cf01d150166e3385c54b8987de2b722b923afa95b76e603ef3419e526
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size 151074550
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mega_file/concept_pronebone.txt
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trained on 175 images from gelbooru between 3 folders
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5_prone bone, 95 images
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8_from side, 55 images
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15_head push, 25 images
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128 dim
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batch size 4
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epochs 8
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TAGS:
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pronebone, prone bone, boy on top, deep penetration
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for side view, add: from side
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for hand on head: hand on another's head, rough sex, head push, held down
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a good place to start is:
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pronebone, boy on top, 1boy, 1girl, hetero, sex
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at 1.1 weight
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example files are also in this folder, mostly tested using aom2-nsfw
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mega_file/japanese clothes v2.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:3b4d6c9cde2748019249503f66af3dc5e71f4744259b37d26ffbbb3b27c45b59
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size 151073665
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mega_file/japanese clothes.txt
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This training file is for characters who cannot wear kimono or yukata.
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Working - furisode , bath yukata , short yukuta uchikake[wedding] , yukata[working] , short kimono[working] ,
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Under training -
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Not training - layered kimono , kimono skirt , hiki furisode[low data] ,
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How to use
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- LoRA str = 1
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- LoRA Character str = 0.5-1.0
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--- v2 ---
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yukata = short yukata / negative prompt : legs,
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uchikake = uchikake, hood,
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--- v1 ---
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Furisode prompt = furisode, kimono, long sleeves, wide sleeves, obi, sash, fur-trimmed kimono, fur trim, fur collar, fur scarf,
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bath yukata = bath yukata, / negative prompt : obi, sash,
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short yukata = short yukata, yukata, legs,
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Data image = 4 folder 330 image / 5-9 repeats / 2 epochs / 1 batch
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learning_rate = 1e-4
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network_dim=128
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scheduler="cosine_with_restarts"
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mega_file/kuon.txt
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Reacts to "Kuon, animal ears" Adult version was trained on for a bit aswell, "Adult Kuon" is the #1 tag on it. It might seep into the model anyway if you try to change clothes.
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Barely tested, 1400+ should be fine, haven't checked how easy is it to change clothing etc
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mega_file/michiru-v4-epoch03.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:a6c8a8dd951eeeadb47fce164227e58564c6187f10cbd94efde1af51a0ee8471
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size 151074584
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mega_file/michiru.txt
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# Chidori Michiru (Blue Archive)
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## Usage
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Use any or all of these tags to summon Koharu:
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`michiru, 1girl, halo, yellow eyes, grey hair, small breasts`
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Tag pruning means you don't need to prompt for much other than `michiru` to get a pretty good result -- eyes and hair are optional but can help correct occasional mistakes.
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The AI really tries to do her ninja `kuji-in` but unsurprisingly fucks it up more often than not, holding up the wrong number of fingers or just generating messed up hands.
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The tail is a bit iffy -- I tagged it as `tail` but prompting for that gets a cat tail half the time. Try `raccoon tail`.
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For her normal outfit:
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`school uniform, blue skirt, black pantyhose, floral print, black scarf, bridal gauntlets`
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I tagged images with `sarashi` even when it was only partially visible under her uniform.
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Unlike Koharu's LoRA I was a little more specific with clothing colors when tagging. Skirts are always tagged `blue skirt`, scarf is always `black scarf` etc. The hope was that it would make it possible to get her normal clothing in a different color, and to avoid overfitting `skirt` and `scarf` into the exact ones she normally wears. It sorta works but if you want a`red skirt` you have to emphasize it and negative prompt `blue skirt`.
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Weights from 0.8 - 1.05 should work well, it's perhaps slightly overfitted.
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## Training
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*All parameters are provided in the accompanying JSON files.*
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- Trained on a curated set of 88 images repeated 10 times.
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- Dataset included a mixture of SFW and NSFW.
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- This dataset was smaller than Koharu's, but I maintained the same number of steps.
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- Initially tagged with WD1.4, then performed heavy pruning and editing.
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- Removed as many inaccurate tags as possible
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- Made sure important traits were present and consitently described, and traits like `halo` were consistent with actual visibility
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- Pruned redundant tags and simplified outfits so that they were always tagged with the same handful of tags
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- Added camera angles and image composition hints
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- Added a few facial expressions
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- Different learning rate than usual.
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- 5e-5 text encoder (same as Koharu's, but typically 1e-5 ~ 2e-5)
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- 3e-4 UNet (typically one order of magnitude faster than text)
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- Trained without VAE.
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mega_file/noa.txt
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Recommended prompt = halo, white shirt, jacket two-sided jacket, open jacket, necktie, white hair, purple eyes, white skirt,
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LoRA str = 1
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learning_rate = 5e-5
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network_dim=16
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scheduler="cosine_with_restarts"
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Training = 98 file image / 5 Repeats / idk epochs
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mega_file/pee+lactation.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:e4e7d5523df604017c043377c41066a859554deeda550581c8a6de42f70a63e0
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size 151073665
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mega_file/pee_lactation.txt
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prompt = pee, peeing,
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lactation = lactation, nipples, or lactation, lactation through clothes,
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LoRA str = 1
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learning_rate = 5e-5
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network_dim=128
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scheduler="cosine_with_restarts"
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Training = 202 file image / 7 Repeats / 2 epochs
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mega_file/pregnant.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:d6e21282969b51f181b22e3b0ac0273931be0dd99d47f0fe43a47401b0ff55b6
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size 151073665
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mega_file/pregnant.txt
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prompt = pregnant,
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multiple pregnant = multiple pregnant,
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If increasing (pregnant:1.0-1.5) will increase belly size or reduce to pregnant:0.8 if you don't want to be big belly
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Sometimes larger pregnant, prompt with huge breasts,
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in folder dim 16-64 Comparison can be seen in image.
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It is recommended to use 64 or 128 for better pregnancy quality
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LoRA str = 0.6-1
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learning_rate = 9e-5
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network_dim=128
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scheduler="cosine_with_restarts"
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Training = 151 file image / 5-7 Repeats / 2 epochs
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mega_file/quasarcake-last.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:0f18259435438b77cde73102069bdcf0bbe57c91f90b8ca0b3963557d366e978
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size 151073665
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mega_file/virgin killer sweater.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:db961a4a5708bc799e5428248f23a3a95712c4c28119ba69040f00aacda696d5
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size 151073665
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mega_file/virgin.txt
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