Very recommended the use of face fix/adetailer. Trained LoRA stylized as 2D anime for the landscape/wallpaper resolution, with some vertical images.
It will work as a mini-model that will change the style of the model you'll use. For some models, it will be in a subtle way. The best use is in 2.25 to 2.5D models with good anatomy. You can use this LoRA to generate directly, to use it with the option \"use as a base\" (img2img in Stable Diffusion) or both, that will make the 2D style stronger.
Tips: Try different weights for each model, start with 0.4 and slowly increase it until you find the right spot. Some models would need \"semirealistic\" in prompt to work, for others my LoRA won't work as great. Don't forget to use good negative prompts.
Difference with my DarkSky Edition: This edition should make better images overall, with a more generic style with less effects. I also added some vertical images and images from certain festivities like Christmas, Halloween...
It will hardly be influenced by the main model, so be careful which one will you use - as it will enhance it capabilities. Weight hardly depends on the model, I tend to use from 0,5 to 0,75. It can greatly help eyes and less for hands, but I still recommend some way to fixing eyes like Adetailer. Backgrounds and image will have the same style and sometimes background will be a little blurry because the focus will be on the character.
This LoRA will change a lot your gen, it is not like other HD enhancers that will not change the composition. Remember, it has been trained with landscape/wallpaper size so it will be better that way, if you use portrait size it will still help but not as much.
Tip: Create a good prompt, use a good model. If you have good results with a normal prompt, then test it with my LoRA. How to help to make good hands: Use \"bad hands\" in negative prompt.
This mini-model was trained with AnyLoRA so it should create good quality 2D anime.
V1 is trained with half of my anime gallery, so that means 1828 images. v1 was trained with resolution x512. It can use up to x1024 resolution.
Weight is very variable, but the best results I had is from 0,4 to 0,7, with 0,7 being the default. You can also use from 0,3 to 1. Weight will hardly depend on the model, test yourself. I like to use from 0,6 to 0,75. This LoRA can tune down the 3D of some models and make the image better. In fact, I use it for 2.5D or 2.25D models.
It can help the model to detail eyes with prompts like glowing eyes, detailed eyes.
Note: It was trained over SFW artwork so I don't know if it will work for NSFW. If you have a lot of tags and you don't have good results, try a little more of CFG. If you want better results overall, try less complicated tags (so more generic ones), less \"perfect\" tags and try different negatives that can be good for the base model. If you use a lot of complicated tags, the combination can make worse the result.
(Upcoming) Important: Use the version of the LoRA depending on the resolution you are going to use. Stylize 2.5D or 2.25D generated images as 2D. You can use v1 for quality around 512-768 and HD_v1 for quality around 1024 (you still can use HD_v1 for lower qualities but maybe it can make worse generations, sometimes it will work better than HD_v1 for enhancing or generating in higher qualities).
-
Most used tags: solo (1455) 1girl (1362) long hair (1052) looking at viewer (1006) smile (663) red eyes (629) short hair (591) dress (513) holding (503) weapon (494) black hair (483) blue eyes (409) 1boy (409) gloves (396) sky (394) open mouth (383) blonde hair (363) long sleeves (343) ribbon (336) hair between eyes (334) skirt (331) very long hair (323) upper body (315) male focus (310) hat (307) hair ornament (299) shirt (299) bare shoulders (298) sword (297) brown hair (296) wings (288) white hair (283) jewelry (277) outdoors (276) thighhighs (274) blush (270) flower (268) holding weapon (262) night (260) bow (245) jacket (239) closed mouth (222) cloud (216) yellow eyes (205) moon (202) cleavage (202) blue hair (200) purple eyes (195) twintails (193) frills (187)
v1 was trained with resolution x512. It can use up to x1024 resolution, but I'll add an HD version soon.
Difference with my DarkSky edition: This edition should make better images overall, with a more generic style with less effects. I also added some vertical images and images from certain festivities like Christmas, Halloween...
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Based on the style from the artist: JCM2
Works great with AbyssOrangeMix2
Helpful positives: freckles, smirk, naughty face, serious face, COLOR eyes, looking at viewer
Helpful negatives: blurry background, soft focus
Specifying eye color, and look direction (at viewer, away, up, down, back) can greatly increase eye/face detail.
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Use Clip skip: 2
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+{"id":295194,"name":"Grimm (Hollow Knight)","description":"
AFTER ADDITIONAL TESTING, I REALIZED THAT THE CFG SCALE MUST BE AT A LOW NUMBER. I HIGHLY RECCOMEND KEEPING IT AROUND 5 AND LOWER. AT LEAST BETWEEN 3.5 - 5 CFG. FOR STEPS IT DOESN'T MATTER MUCH.
also lil edit as of 2/6/24: so uh, lil thing i should clarify... grimm's not going to exactly look the best in civitai.
he's either going to look like an artifact or a vague appearance of himself. that i'm hoping to solve someway somehow, but if you're wanting to get some general grimm pics, then i definitely recommend using stable diffusion or comfy ui for this lora. if not, that's okay! if you don't mind the little goofs then that's perfectly fine!
Be aware that CivitAI will not give you the same results as the showcases provided. CivitAI generates things differently from Stable Diffusion and ComfyUI. Put your effort in and work him to your own style and image!
The trigger words for this lora; grimm, red eyes, featureless legs, black cloak.
Additional non-trigger words to help with the prompting; mouthless, featureless arms (if you want him generated without fingers), hollow knight, slim body (and/or legs), red and black cloak, black hands, black cloak.
Trained on 16 images, I'm honestly very, VERY happy to be publicizing my first EVER Lora both here and in general! I've always wanted to make Loras for a good few months now, but I never knew how to and I felt like I was NOT ready to do the patience-inducing methods of Lora training.
So, instead, I relied on CivitAI's model training to help me instead. Of course I end up being a lot more limited, especially knowing how grand in capabilities you have if you did the manual labor way of making a Lora. Am I being lazy? Probably. You're not caring what I'm saying and you don't have to.
Some glaring issues you'd probably encounter with the model is the fact you're mainly going to see a red background, whether you add it in or not. It's best to put \"red background\" in the negatives since most of the images I used in the dataset were red backgrounds because... duh, Grimm.
Also there's sometimes a tail involved, so put that in the negatives, too. There's a chance the AI may generate multiple lines on his face (compared to his design where he only has one on each eye).
Model's really good with EasyFluff (maybe cause I keep relying on it so much-) and struggles a bit with the Redwater checkpoint for anyone who uses it. But I think it's capable for general models; furry or not. If not, please do let me know which model the lora seems to do the worst (or even the best!) in. I'd really appreciate any sort of feedback as I'm both excited and incredibly nervous. ;_;
A lil bit of spewing below.
-----
People need to know there's more than just Hornet that exist in Hollow Knight. I noticed no other Lora for a Hollow Knight character has been made (especially surprised there isn't one for the Knight, who's equally as popular as Hornet lol), so I thought, \"Y'know what? Be the change you want to be.\", and thus began my process of making a Hollow Knight Lora.
It was honestly a hit or miss, as many attempts to make a Lora out of lesser drawn/known characters was practically difficult as heck. I've tried numerous attempts and all I got was half-baked attempts or attempts that the AI didn't seem to try with at all. But honestly, that was on my end since it was hard to find \"the right images\". But after deciding on Grimm, I said \"heck it\" and just carefully spent like an hour or two finding the right images to put into my database. And lo and behold, the Grimm lora became a shocking success. There're still issues to be dealt with, but I hope to handle it eventually (when I get enough buzz to retrain lol).
Not perfect by a longshot, but hopefully still passable to publicize as a lora. Will try and work through a better database for even better Grimm pics. Hoping to add more variety to him.
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diff --git a/Grimm_Hollow_Knight/Grimm_Hollow_Knight.civit.info b/Grimm_Hollow_Knight/Grimm_Hollow_Knight.civit.info
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+{"id":331706,"name":"v1.0","index":0,"status":"Published","modelId":295194,"baseModel":"SD 1.5","createdAt":"2024-02-06T16:27:13.185","nsfwLevel":27,"description":"
First version.
Not perfect by a longshot, but hopefully still passable to publicize as a lora. Will try and work through a better database for even better Grimm pics. Hoping to add more variety to him.
","publishedAt":"2024-02-06T16:44:49.076","availability":"Public","trainedWords":["grimm","red eyes","black cloak","featureless legs"],"stats":{"downloadCount":150,"ratingCount":15,"rating":4.93,"thumbsUpCount":30,"thumbsDownCount":0},"files":[{"id":262961,"sizeKB":36977.7890625,"name":"Grimm_Hollow_Knight.safetensors","type":"Model","pickleScanResult":"Success","pickleScanMessage":"No Pickle imports","virusScanResult":"Success","virusScanMessage":null,"scannedAt":"2024-02-06T16:30:53.141Z","metadata":{"format":"SafeTensor"},"hashes":{"AutoV1":"6688093E","AutoV2":"415EF9D45A","SHA256":"415EF9D45AC26CC5BD9D6FD9FAFD9B3CDEA4706164A2E1EC6FE6983FF5B57B5F","CRC32":"4018A5E4","BLAKE3":"5C4F7D7ACFBA48403574F7F492FC4922ED61F8350426918B805E944E78155FD1","AutoV3":"313DF79E079C"},"downloadUrl":"https://civitai.com/api/download/models/331706","primary":true}],"images":[{"url":"https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/c28ff311-5d3d-4ce0-9679-71ef6c5d6f78/width=450/6331425.jpeg","nsfwLevel":8,"width":3136,"height":2048,"hash":"UPG52x|^w{AX|_snJRWWwwa{AqWq,sw{NvJR","type":"image"},{"url":"https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/a6fb8ff2-5f43-4009-9e0a-6c4e6e87ef34/width=450/6331434.jpeg","nsfwLevel":8,"width":3136,"height":2048,"hash":"UKCpew1w|_fRw{NuNua{Ez,sJRWVo2juoLso","type":"image"},{"url":"https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/95a309c6-fe4e-49f1-a565-638736fb2b7b/width=450/6331436.jpeg","nsfwLevel":16,"width":2048,"height":3136,"hash":"UKC|2aw{JRso|_snJRjt,soKE}WpE}a|S3S3","type":"image"},{"url":"https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/a9cdc7a2-05a6-4ce1-8ecd-02ecc31b32f3/width=450/6331462.jpeg","nsfwLevel":8,"width":3104,"height":2048,"hash":"UML1nX5Rv$={}sa}EMoKn5xaEgI:EMR+%1of","type":"image"},{"url":"https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/7833cb51-2de7-4763-b254-641f14d24075/width=450/6331463.jpeg","nsfwLevel":8,"width":3104,"height":2048,"hash":"UOMWC-Eg;|=I}Ej[5,n%+^Sf1cw{ADWCkCSg","type":"image"},{"url":"https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/2aa179b8-7e53-43ce-8c50-783983e01261/width=450/6331459.jpeg","nsfwLevel":8,"width":3104,"height":2048,"hash":"UYLmero0#SS2}YjZI:S3wcay5,W;EgWVs:s.","type":"image"},{"url":"https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/358bde79-ed32-49d5-bc7e-ef054646d2c1/width=450/6331460.jpeg","nsfwLevel":8,"width":2048,"height":2528,"hash":"UAK@R@}Yvg=H}YsoWB$P]mf60~Wq0}oLs:S3","type":"image"},{"url":"https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/a4dfab1f-c3d3-4c0c-8840-dddc1b47edc6/width=450/6331461.jpeg","nsfwLevel":1,"width":2048,"height":3104,"hash":"U15XDb6$EL}Z}u-U9[-B56,s-B6y0|+_=z1H","type":"image"},{"url":"https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/ec6c53f7-1c4e-4674-a097-7fdcdbf1a883/width=450/6331464.jpeg","nsfwLevel":2,"width":2048,"height":3104,"hash":"U34oNGbvEdoy.ltSE0kCcEkCnjR%InfkxHof","type":"image"},{"url":"https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/7661ddca-af53-4872-9d57-37e81a047a6c/width=450/6331466.jpeg","nsfwLevel":2,"width":2048,"height":3104,"hash":"U59~a3kq}tJ7Oo=y5jI:$Q-BWBw|J6I:xas:","type":"image"},{"url":"https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/acbe6057-9269-4cb8-8cf7-d30cab8bdd8c/width=450/6331465.jpeg","nsfwLevel":8,"width":2048,"height":3136,"hash":"UNDsd[sow^o0}EsoNua{NuayJRWWJRS2S3Wp","type":"image"},{"url":"https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/cc76fd3b-0986-4f2d-be2d-8b74d212ad17/width=450/6331467.jpeg","nsfwLevel":8,"width":2048,"height":3648,"hash":"UAE+=a]-Naj@=JoKsmSf}ENu1JNbNaWVE#jZ","type":"image"}],"downloadUrl":"https://civitai.com/api/download/models/331706"}
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+{"id":489572,"name":"Gwen Tennyson (Ben 10) PonyDiffusionXL","description":"
LoRA XL for a character from the \"Ben 10\".
Recommend prompt: \"gw_n, 1girl, pale skin, green eyes, short orange hair, hair clip, sapphire earrings\"
Original suit: \"blue raglan shirt with a cat logo, white capri pants\"
Weigh: 0.8-1
Recommend model: Fantasy Blend XL or Pony Diffusion XL
Please rate my model and share your result. Thank you!
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I love this artists style, so I made this lora. Works best with \"source_cartoon\".
Enjoy!
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diff --git a/NanashiUchiha-10/NanashiUchiha-10.civit.full.info b/NanashiUchiha-10/NanashiUchiha-10.civit.full.info
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@@ -0,0 +1 @@
+{"id":281103,"name":"Nanashi Uchiha | Character LoRA (Naruto)","description":"
Nanashi Uchiha is here !
I haven't played the original story of the \"\"\"new\"\"\" Naruto game, but I've seen her a couple of times. She's pretty cute, and though she doesn't have a lot of images at disposal, I still decided to make her. It's not the best, but hey, it's ok.
The flaws, here they come :
It's hard to give her a good variety of clothes, it'll always look a bit similar every time.
Her Sharingan can't be easily made, SD limitations I guess.
Basic prompts : Nanashi Uchiha, 1girl, long hair, black hair, best quality
Eyes prompts :Black eyes | Red eyes, sharingan | Red eyes, Mangekyou Sharingan
Primary clothes prompts : Blue sweater, high collar (Most trained \"outfit\", but feel free to give her what you can)
Not my greatest creation, but I hope you'll like it anyway ! Feel free to leave a nice review, that makes me extra happy and keeps me motivated to keep up ! ♥
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+{"id":342514,"name":"Anzhc's BeautifEYEr | YOLOv8 | Adetailer model","description":"
Credits to @novowels for that name :clueless:
Small segmentation model aiming to create accurate masks of eyes for improved inpainting quality with adetailer extension.
Put into `automatic1111/models/adetailer`, or any other place that you know will work with YOLOv8 models.
Set erosion/dilution to 0. (Or very low values)
Use.
DISCLAIMER: It was trained on 1024px, and under common circumstances will perform best in that resolution, but Adetailer default is 640, and currently you can't change that. Bing-su said that my pr breaks normal models, though i wasn't able to reproduce that, so, currently this model WILL NOT perform as on showcase images, unless you change ultralytics.py in a way that i did in my pr. For XL models max padding is required, if you want eyes to stay consistent to each other. For hires you might need to modify UI to extend slider values to 512. Otherwise you will get this, as other eye is not in range of inpainted area:
What it does?
Creates own mask per eye found, each can be inpainted with unique prompt.
I did switch annotation style roughly 1/3 into process, so it's not quite uniform and accurate as it could be, but it still is probably one of the most accurate options available. It works by trying to select only sclera+pupils area, which let you use very high denoise. I tested up to 0.85, and it was decent coherence still, as it was only inpainting area where it can't ruin composition.
It still has some minor issues with selecting edge precisely, so you can see those small lines where it's not inpainted, but it would be fair to assume it's easily fixed with small dilution for the time being.
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+{"id":293448,"name":"Anzhc's Face Segmentation (Prototype) | YOLOv8 | Adetailer model","description":"
Small segmentation model aiming to create accurate masks of face for improved inpainting quality with adetailer extension.
Put into `automatic1111/models/adetailer`, or any other place that you know will ork with YOLOv8 models.
Use.
What it does?
Instead of just finding face, it tries to create a mask covering face, which narrows down area of inpainting, which leads to better results, due to attention of model not spreading to anything else.
Yolo face mask:
My face mask:
Due to it being very small(in dataset), and experimental in nature, it's not generalized enough, and will have issues, so be advised.
P.S. In case of tolo face, WHOLE box is inpainted, while my model creates mask to inpaint.
In some cases, particularly close-ups and face shots, standard yolo face model will create hard burn
Because area of inpaint is almost whole image. In case of my model it tries to localize area, which doesn't create such burn.
But yes, here you can see that it's not quite adept with close-ups, and chops it quite a bit.
This is really easy to improve, but im busy with work and other stuff to really do that.
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This version is smallest available, compromise in accuracy, but it's just 6mb. Medium(50mb) brings in up a notch, but don't think i will be releasing that one in particular.
Put into `automatic1111/models/adetailer`, or any other place that you know will work with YOLOv8 models.
Use.
What it does and what is it for?
Head segmentation, duh.
It tries to select head, including hair, while avoiding rest. It is hard to avoid rest... Model is very inconsistent with long hair.
Overall it should be able to work with wide variety of styles and mediums, as i tries to create a robust enough dataset with quite a bit of abstract, traditional, real and digital content. It is not a big one though, so there is a large room for improvement.
But what you might need it for? To have some fun, while reducing tedium a bit.
P.S. Those inpaints were done on older version, which had a bit worse masking. All inpaints were done directly with adetailer in single pass with inpaint model.
And it took a few tries, hard to get 7 inpaints right in a row xd
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VERY EARLY PROTOTYPE, BARELY WORKS AS INTENDED.
Small segmentation model aiming(and pretty much failing, kek) to create accurate masks of manga panels for improved inpainting quality with adetailer extension.
Particular behaviour to expect: Covrage of whole panel + extruding parts, like cross-panel objects and characters(which it will miserably fail to do btw). Extruding speech bubbles will be excluded from selection. Speech bubbles that are fully in panel will not be excluded.
Likely to perform quite a bit better at higher resolution, but examples are made at 640.
Put into `automatic1111/models/adetailer`, or any other place that you know will work with YOLOv8 models.
Use.
What is it for?
I use it as utility model, not necesserily for A1111. It can help you improve quality of comic pages, sequences, etc. if you like to do that sort of thing. It will try to find all manga panels with their specific borders.
Here is example from Jobless Reincarnation manga:
(Yes, it fails even fairly simple rectangles due to the way i decided to work on it, but it will get better with time(if i ever would update it, lmao(making those datasets are boring)))
Core idea is to take into consideration not only panels, but also objects related to them, if they go off-panel, while excluding objects that go off-panel, but related to other one.
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+{"id":354433,"name":"Ben 10 classic style","description":"
works best the weight between 7 up to 8 , recommended checkpoint anylora,I want to clarify that I am not the creator of the content. It was originally uploaded by a user named definitelynotbadredkitt,
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works best with weight 9, I want to clarify that I am not the creator of the content. It was originally uploaded by a user named definitelynotbadredkitt,
who has now been deleted account.not sure why deleted it ,please if you know it tell me, have to know, I appreciated his Ben 10 lora and it's a shame that they are no longer around. However, I plan to save and re-upload most of the loras.
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diff --git a/embed/part_1.zip b/embed/part_1.zip
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index 0000000000000000000000000000000000000000..341d2f664f7186bf895b099662bfffaf13690fdd
--- /dev/null
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+oid sha256:d4668e34365d384339bfd021f5a98aaeed1e88b533dd460d83c9ed75c97e8ec1
+size 105574347
diff --git a/embed/part_1/(negative_v2 Color_Balance_Calibration_0.8).html b/embed/part_1/(negative_v2 Color_Balance_Calibration_0.8).html
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+
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Use the model without crediting the creator Sell images they generate Run on services that generate images for money Run on Civitai Share merges using this model Sell this model or merges using this model Have different permissions when sharing merges
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+
Description
+
I don't recommend high weights.
Setting the weight high rather breaks the balance.
"Shape balance correction" was created to create a sense of shape while using v2.0.
It is not recommended to use "Shape Balance correction" alone without v2.0.
Version 1 is color,
Version 2 is drawing style.
I recommend using only one of versions 1 and 2.
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Prompt
1girl, asuna \(blue archive\), blue archive, (masterpiece, best quality, very aesthetic, absurdres:1.02)
Use the model without crediting the creator Sell images they generate Run on services that generate images for money Run on Civitai Share merges using this model Sell this model or merges using this model Have different permissions when sharing merges
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Description
+
AissistXL is a negative embedding fine-tuned to be working on Animagine XL v3 and its derivatives. It trained on the standard negative prompt for Animagine XL v3 plus some extra parameters to make sure you always generate the best possible images with Animagine-based models. You can also try to use this negative embedding for other SDXL-based models, but output quality is not guaranteed.
You don't necessarily need to use Animagine default negatives if you're using this negative embedding.
FAQ
Q: It's showing errors on AUTOMATIC1111, saying it's unsafe, and won't load the Embedding.
A: It's safe, it showing that error because the embedding still using .pt files. You can either put --disable-safe-unpickle on your AUTOMATIC1111 arguments, or download the .safetensors one I provided as "Embedding" (Negative is the .pt one).
Q: Will it work on Pony-based models?
A: Standalone? No. Combined with Pony-specific negative prompts? Maybe.
Q: If CagliostroLab releases a new Animagine XL version, will this negative embedding still work?
A: Yes.
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Prompt
1girl, gotoh hitori, bocchi the rock!,
+long hair, blue eyes, pink hair, cube hair ornament, open mouth, wavy mouth, large breasts, black t-shirt, grey skirt, arms behind back,
+forest, river, looking at viewer, outdoors,
+masterpiece, best quality, very aesthetic, absurdres,
+
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diff --git a/embed/part_1/AissistXLv2.json b/embed/part_1/AissistXLv2.json
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index 0000000000000000000000000000000000000000..0243116eac5a830a9a671cd475f1e13559d44ce7
--- /dev/null
+++ b/embed/part_1/AissistXLv2.json
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+{
+ "activation text": "AissistXLv2",
+ "description": "AissistXL is a negative embedding fine-tuned to be working on Animagine XL v3 https://civitai.com/models/260267/animagine-xl-v3 and its derivatives. It trained on the standard negative prompt for Animagine XL v3 plus some extra parameters to make sure you always generate the best possible images with Animagine-based models. You can also try to use this negative embedding for other SDXL-based models, but output quality is not guaranteed.You don't necessarily need to use Animagine default negatives if you're using this negative embedding.FAQQ: It's showing errors on AUTOMATIC1111, saying it's unsafe, and won't load the Embedding.A: It's safe, it showing that error because the embedding still using .pt files. You can either put --disable-safe-unpickle on your AUTOMATIC1111 arguments, or download the .safetensors one I provided as \"Embedding\" (Negative is the .pt one).Q: Will it work on Pony-based models?A: Standalone? No. Combined with Pony-specific negative prompts? Maybe.Q: If CagliostroLab releases a new Animagine XL version, will this negative embedding still work?A: Yes.",
+ "sd version": "SDXL",
+ "modelId": 317759,
+ "sha256": "8C7D9EEF02FD28B6EA2AFBF4AA20930A18ABD834CDB8314B723B3F6F8216FDD9"
+}
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+version https://git-lfs.github.com/spec/v1
+oid sha256:8c7d9eef02fd28b6ea2afbf4aa20930a18abd834cdb8314b723b3f6f8216fdd9
+size 598200
diff --git a/embed/part_1/Asian-Less-Neg.html b/embed/part_1/Asian-Less-Neg.html
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Use the model without crediting the creator Sell images they generate Run on services that generate images for money Run on Civitai Share merges using this model Sell this model or merges using this model Have different permissions when sharing merges
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+
Description
+
This tool doesn't specifically race-swap asian to white-caucasian, it just removes asian so your prompts can be more effective with whatever other race or culture you're trying to portray. This is due mostly to heavy training that doesn't tag race or culture.
Follow me to make sure you see new tools like this, or new styles, posesandNobodys when I post them. More Clutter series coming too. Things move fast on this site, it's easy to miss.
Most of the recent, good, training has been using anime and models trained on asian people and it's culture. Nothing wrong with that, it's great that the community and fine-tunning continues to grow. But those models are mixed in with almost everything now (and because race or culture wasn't specifically tagged) sometimes it might be difficult to get results that don't have asian or anime influence. This embedding aims to assist with that. It can even change anime characters (though that wasn't the intended purpose).
I first created this when trying to make preview images for my South of the Border Style embedding. I was trying to get south american people and culture, but there was a lot of asian culture leaking into the generated images. This embedding fixed that. So it doesn't specifically race-swap asian to white-caucasian, it just removes asian so your prompts can be more effective with whatever other race or culture you're trying to portray.
How to use: Use the negative prompt primarily, then use the positive prompts only if you need the additional help. There are 3 files to download.
Asian-Less2-Neg: Use this one, place in your negative prompt at strength of 1.0 (more updated embedding to account for more modern models)
Asian-Less-Neg: Use this one, place in your negative prompt at strength of 1.0
Asian-Less: Only use this in the positive prompt if you need the extra strength. On an asian-specific model for example.
Asian-Less-Toon: Only use this in the positive prompt if you need to remove anime-like features in illustrations.
Again, this isn't meant to race-swap, but to help get other race and/or cultures in your image generation without the influence of the asian image training. But like all models, the intended use and what you do with it are separate matters.
Do you have requests? I've been putting in many more hours lately with this. That's my problem, not yours. But if you'd like to tip me, buy me a beer. Beer encourages me to ignore work and make AI models instead. Tip and make a request. I'll give it a shot if I can.Here at Ko-Fi
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Prompt
women sitting in a luxurious room wearing sweater and long pants
+
\ No newline at end of file
diff --git a/embed/part_1/Asian-Less-Neg.json b/embed/part_1/Asian-Less-Neg.json
new file mode 100644
index 0000000000000000000000000000000000000000..77b56ba293453941bd1597ed515e72fca0068df0
--- /dev/null
+++ b/embed/part_1/Asian-Less-Neg.json
@@ -0,0 +1,7 @@
+{
+ "activation text": "Asian-Less-Neg",
+ "description": "This tool doesn't specifically race-swap asian to white-caucasian, it just removes asian so your prompts can be more effective with whatever other race or culture you're trying to portray. This is due mostly to heavy training that doesn't tag race or culture.Follow me to make sure you see new tools like this, or new styles https://civitai.com/tag/zstyle, poses https://civitai.com/tag/zpose and Nobodys https://civitai.com/tag/znobody when I post them. More Clutter series coming too. Things move fast on this site, it's easy to miss.Most of the recent, good, training has been using anime and models trained on asian people and it's culture. Nothing wrong with that, it's great that the community and fine-tunning continues to grow. But those models are mixed in with almost everything now (and because race or culture wasn't specifically tagged) sometimes it might be difficult to get results that don't have asian or anime influence. This embedding aims to assist with that. It can even change anime characters (though that wasn't the intended purpose).I first created this when trying to make preview images for my South of the Border https://civitai.com/models/25749/south-of-the-border-style Style embedding. I was trying to get south american people and culture, but there was a lot of asian culture leaking into the generated images. This embedding fixed that. So it doesn't specifically race-swap asian to white-caucasian, it just removes asian so your prompts can be more effective with whatever other race or culture you're trying to portray.How to use:Use the negative prompt primarily, then use the positive prompts only if you need the additional help. There are 3 files to download.Asian-Less2-Neg: Use this one, place in your negative prompt at strength of 1.0 (more updated embedding to account for more modern models)Asian-Less-Neg: Use this one, place in your negative prompt at strength of 1.0Asian-Less: Only use this in the positive prompt if you need the extra strength. On an asian-specific model for example.Asian-Less-Toon: Only use this in the positive prompt if you need to remove anime-like features in illustrations.Again, this isn't meant to race-swap, but to help get other race and/or cultures in your image generation without the influence of the asian image training. But like all models, the intended use and what you do with it are separate matters.Do you have requests? I've been putting in many more hours lately with this. That's my problem, not yours. But if you'd like to tip me, buy me a beer. Beer encourages me to ignore work and make AI models instead. Tip and make a request. I'll give it a shot if I can. Here at Ko-Fi https://ko-fi.com/zovya",
+ "sd version": "SD1",
+ "modelId": 50755,
+ "sha256": "22D2F003E76F94DCF891B821A3F447F25C73B2E0542F089427B33FF344070A96"
+}
\ No newline at end of file
diff --git a/embed/part_1/Asian-Less-Neg.preview.png b/embed/part_1/Asian-Less-Neg.preview.png
new file mode 100644
index 0000000000000000000000000000000000000000..6169b52e5c1318b45737630cc649efb653b4892b
Binary files /dev/null and b/embed/part_1/Asian-Less-Neg.preview.png differ
diff --git a/embed/part_1/Asian-Less-Neg.pt b/embed/part_1/Asian-Less-Neg.pt
new file mode 100644
index 0000000000000000000000000000000000000000..a02e5708621a39a65b395b57b676b885555151e8
--- /dev/null
+++ b/embed/part_1/Asian-Less-Neg.pt
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:22d2f003e76f94dcf891b821a3f447f25c73b2e0542f089427b33ff344070a96
+size 16244
diff --git a/embed/part_1/Asian-Less-Toon.html b/embed/part_1/Asian-Less-Toon.html
new file mode 100644
index 0000000000000000000000000000000000000000..cdc716e7ff548ea8b81598f3300202816096e62a
--- /dev/null
+++ b/embed/part_1/Asian-Less-Toon.html
@@ -0,0 +1,129 @@
+
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+
Use the model without crediting the creator Sell images they generate Run on services that generate images for money Run on Civitai Share merges using this model Sell this model or merges using this model Have different permissions when sharing merges
+
+
+
+
+
+
Description
+
This tool doesn't specifically race-swap asian to white-caucasian, it just removes asian so your prompts can be more effective with whatever other race or culture you're trying to portray. This is due mostly to heavy training that doesn't tag race or culture.
Follow me to make sure you see new tools like this, or new styles, posesandNobodys when I post them. More Clutter series coming too. Things move fast on this site, it's easy to miss.
Most of the recent, good, training has been using anime and models trained on asian people and it's culture. Nothing wrong with that, it's great that the community and fine-tunning continues to grow. But those models are mixed in with almost everything now (and because race or culture wasn't specifically tagged) sometimes it might be difficult to get results that don't have asian or anime influence. This embedding aims to assist with that. It can even change anime characters (though that wasn't the intended purpose).
I first created this when trying to make preview images for my South of the Border Style embedding. I was trying to get south american people and culture, but there was a lot of asian culture leaking into the generated images. This embedding fixed that. So it doesn't specifically race-swap asian to white-caucasian, it just removes asian so your prompts can be more effective with whatever other race or culture you're trying to portray.
How to use: Use the negative prompt primarily, then use the positive prompts only if you need the additional help. There are 3 files to download.
Asian-Less2-Neg: Use this one, place in your negative prompt at strength of 1.0 (more updated embedding to account for more modern models)
Asian-Less-Neg: Use this one, place in your negative prompt at strength of 1.0
Asian-Less: Only use this in the positive prompt if you need the extra strength. On an asian-specific model for example.
Asian-Less-Toon: Only use this in the positive prompt if you need to remove anime-like features in illustrations.
Again, this isn't meant to race-swap, but to help get other race and/or cultures in your image generation without the influence of the asian image training. But like all models, the intended use and what you do with it are separate matters.
Do you have requests? I've been putting in many more hours lately with this. That's my problem, not yours. But if you'd like to tip me, buy me a beer. Beer encourages me to ignore work and make AI models instead. Tip and make a request. I'll give it a shot if I can.Here at Ko-Fi
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Prompt
women sitting in a luxurious room wearing sweater and long pants
+
\ No newline at end of file
diff --git a/embed/part_1/Asian-Less-Toon.json b/embed/part_1/Asian-Less-Toon.json
new file mode 100644
index 0000000000000000000000000000000000000000..a578b479d954cc091aacbb38622f4a3f3d184d11
--- /dev/null
+++ b/embed/part_1/Asian-Less-Toon.json
@@ -0,0 +1,7 @@
+{
+ "activation text": "Asian-Less-Toon",
+ "description": "This tool doesn't specifically race-swap asian to white-caucasian, it just removes asian so your prompts can be more effective with whatever other race or culture you're trying to portray. This is due mostly to heavy training that doesn't tag race or culture.Follow me to make sure you see new tools like this, or new styles https://civitai.com/tag/zstyle, poses https://civitai.com/tag/zpose and Nobodys https://civitai.com/tag/znobody when I post them. More Clutter series coming too. Things move fast on this site, it's easy to miss.Most of the recent, good, training has been using anime and models trained on asian people and it's culture. Nothing wrong with that, it's great that the community and fine-tunning continues to grow. But those models are mixed in with almost everything now (and because race or culture wasn't specifically tagged) sometimes it might be difficult to get results that don't have asian or anime influence. This embedding aims to assist with that. It can even change anime characters (though that wasn't the intended purpose).I first created this when trying to make preview images for my South of the Border https://civitai.com/models/25749/south-of-the-border-style Style embedding. I was trying to get south american people and culture, but there was a lot of asian culture leaking into the generated images. This embedding fixed that. So it doesn't specifically race-swap asian to white-caucasian, it just removes asian so your prompts can be more effective with whatever other race or culture you're trying to portray.How to use:Use the negative prompt primarily, then use the positive prompts only if you need the additional help. There are 3 files to download.Asian-Less2-Neg: Use this one, place in your negative prompt at strength of 1.0 (more updated embedding to account for more modern models)Asian-Less-Neg: Use this one, place in your negative prompt at strength of 1.0Asian-Less: Only use this in the positive prompt if you need the extra strength. On an asian-specific model for example.Asian-Less-Toon: Only use this in the positive prompt if you need to remove anime-like features in illustrations.Again, this isn't meant to race-swap, but to help get other race and/or cultures in your image generation without the influence of the asian image training. But like all models, the intended use and what you do with it are separate matters.Do you have requests? I've been putting in many more hours lately with this. That's my problem, not yours. But if you'd like to tip me, buy me a beer. Beer encourages me to ignore work and make AI models instead. Tip and make a request. I'll give it a shot if I can. Here at Ko-Fi https://ko-fi.com/zovya",
+ "sd version": "SD1",
+ "modelId": 50755,
+ "sha256": "779EAC4F1D05E74F646ECBE1ECFBC944F1CDF45007CED90B13566A5C1C70DE5B"
+}
\ No newline at end of file
diff --git a/embed/part_1/Asian-Less-Toon.preview.png b/embed/part_1/Asian-Less-Toon.preview.png
new file mode 100644
index 0000000000000000000000000000000000000000..0ef04c2538c24ae7495ed2444a51865dbde03bcd
Binary files /dev/null and b/embed/part_1/Asian-Less-Toon.preview.png differ
diff --git a/embed/part_1/Asian-Less-Toon.pt b/embed/part_1/Asian-Less-Toon.pt
new file mode 100644
index 0000000000000000000000000000000000000000..0280be98cd4c85c50fa90015eefc385d021a90c5
--- /dev/null
+++ b/embed/part_1/Asian-Less-Toon.pt
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:779eac4f1d05e74f646ecbe1ecfbc944f1cdf45007ced90b13566a5c1c70de5b
+size 22467
diff --git a/embed/part_1/Asian-Less.html b/embed/part_1/Asian-Less.html
new file mode 100644
index 0000000000000000000000000000000000000000..203ead7916b3b968deec7685ef902d7b86b69282
--- /dev/null
+++ b/embed/part_1/Asian-Less.html
@@ -0,0 +1,129 @@
+
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Use the model without crediting the creator Sell images they generate Run on services that generate images for money Run on Civitai Share merges using this model Sell this model or merges using this model Have different permissions when sharing merges
+
+
+
+
+
+
Description
+
This tool doesn't specifically race-swap asian to white-caucasian, it just removes asian so your prompts can be more effective with whatever other race or culture you're trying to portray. This is due mostly to heavy training that doesn't tag race or culture.
Follow me to make sure you see new tools like this, or new styles, posesandNobodys when I post them. More Clutter series coming too. Things move fast on this site, it's easy to miss.
Most of the recent, good, training has been using anime and models trained on asian people and it's culture. Nothing wrong with that, it's great that the community and fine-tunning continues to grow. But those models are mixed in with almost everything now (and because race or culture wasn't specifically tagged) sometimes it might be difficult to get results that don't have asian or anime influence. This embedding aims to assist with that. It can even change anime characters (though that wasn't the intended purpose).
I first created this when trying to make preview images for my South of the Border Style embedding. I was trying to get south american people and culture, but there was a lot of asian culture leaking into the generated images. This embedding fixed that. So it doesn't specifically race-swap asian to white-caucasian, it just removes asian so your prompts can be more effective with whatever other race or culture you're trying to portray.
How to use: Use the negative prompt primarily, then use the positive prompts only if you need the additional help. There are 3 files to download.
Asian-Less2-Neg: Use this one, place in your negative prompt at strength of 1.0 (more updated embedding to account for more modern models)
Asian-Less-Neg: Use this one, place in your negative prompt at strength of 1.0
Asian-Less: Only use this in the positive prompt if you need the extra strength. On an asian-specific model for example.
Asian-Less-Toon: Only use this in the positive prompt if you need to remove anime-like features in illustrations.
Again, this isn't meant to race-swap, but to help get other race and/or cultures in your image generation without the influence of the asian image training. But like all models, the intended use and what you do with it are separate matters.
Do you have requests? I've been putting in many more hours lately with this. That's my problem, not yours. But if you'd like to tip me, buy me a beer. Beer encourages me to ignore work and make AI models instead. Tip and make a request. I'll give it a shot if I can.Here at Ko-Fi
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Prompt
women sitting in a luxurious room wearing sweater and long pants
+
\ No newline at end of file
diff --git a/embed/part_1/Asian-Less.json b/embed/part_1/Asian-Less.json
new file mode 100644
index 0000000000000000000000000000000000000000..5b39f03898d579f02f7d5c8f945c6c393cf7e76b
--- /dev/null
+++ b/embed/part_1/Asian-Less.json
@@ -0,0 +1,7 @@
+{
+ "activation text": "Asian-Less",
+ "description": "This tool doesn't specifically race-swap asian to white-caucasian, it just removes asian so your prompts can be more effective with whatever other race or culture you're trying to portray. This is due mostly to heavy training that doesn't tag race or culture.Follow me to make sure you see new tools like this, or new styles https://civitai.com/tag/zstyle, poses https://civitai.com/tag/zpose and Nobodys https://civitai.com/tag/znobody when I post them. More Clutter series coming too. Things move fast on this site, it's easy to miss.Most of the recent, good, training has been using anime and models trained on asian people and it's culture. Nothing wrong with that, it's great that the community and fine-tunning continues to grow. But those models are mixed in with almost everything now (and because race or culture wasn't specifically tagged) sometimes it might be difficult to get results that don't have asian or anime influence. This embedding aims to assist with that. It can even change anime characters (though that wasn't the intended purpose).I first created this when trying to make preview images for my South of the Border https://civitai.com/models/25749/south-of-the-border-style Style embedding. I was trying to get south american people and culture, but there was a lot of asian culture leaking into the generated images. This embedding fixed that. So it doesn't specifically race-swap asian to white-caucasian, it just removes asian so your prompts can be more effective with whatever other race or culture you're trying to portray.How to use:Use the negative prompt primarily, then use the positive prompts only if you need the additional help. There are 3 files to download.Asian-Less2-Neg: Use this one, place in your negative prompt at strength of 1.0 (more updated embedding to account for more modern models)Asian-Less-Neg: Use this one, place in your negative prompt at strength of 1.0Asian-Less: Only use this in the positive prompt if you need the extra strength. On an asian-specific model for example.Asian-Less-Toon: Only use this in the positive prompt if you need to remove anime-like features in illustrations.Again, this isn't meant to race-swap, but to help get other race and/or cultures in your image generation without the influence of the asian image training. But like all models, the intended use and what you do with it are separate matters.Do you have requests? I've been putting in many more hours lately with this. That's my problem, not yours. But if you'd like to tip me, buy me a beer. Beer encourages me to ignore work and make AI models instead. Tip and make a request. I'll give it a shot if I can. Here at Ko-Fi https://ko-fi.com/zovya",
+ "sd version": "SD1",
+ "modelId": 50755,
+ "sha256": "965D8E05BAEB16776451587B57A14DECC421BF0220AFAF8631117168073325DD"
+}
\ No newline at end of file
diff --git a/embed/part_1/Asian-Less.preview.png b/embed/part_1/Asian-Less.preview.png
new file mode 100644
index 0000000000000000000000000000000000000000..6169b52e5c1318b45737630cc649efb653b4892b
Binary files /dev/null and b/embed/part_1/Asian-Less.preview.png differ
diff --git a/embed/part_1/Asian-Less.pt b/embed/part_1/Asian-Less.pt
new file mode 100644
index 0000000000000000000000000000000000000000..15161dbc83360dddb565ec617431535a0f2d1d17
--- /dev/null
+++ b/embed/part_1/Asian-Less.pt
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:965d8e05baeb16776451587b57a14decc421bf0220afaf8631117168073325dd
+size 16244
diff --git a/embed/part_1/Asian-Less2-Neg.html b/embed/part_1/Asian-Less2-Neg.html
new file mode 100644
index 0000000000000000000000000000000000000000..ad0e6a83c3a6a3ff66dd9e6fe7b7d7717c2117dc
--- /dev/null
+++ b/embed/part_1/Asian-Less2-Neg.html
@@ -0,0 +1,129 @@
+
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+
Use the model without crediting the creator Sell images they generate Run on services that generate images for money Run on Civitai Share merges using this model Sell this model or merges using this model Have different permissions when sharing merges
+
+
+
+
+
+
Description
+
This tool doesn't specifically race-swap asian to white-caucasian, it just removes asian so your prompts can be more effective with whatever other race or culture you're trying to portray. This is due mostly to heavy training that doesn't tag race or culture.
Follow me to make sure you see new tools like this, or new styles, posesandNobodys when I post them. More Clutter series coming too. Things move fast on this site, it's easy to miss.
Most of the recent, good, training has been using anime and models trained on asian people and it's culture. Nothing wrong with that, it's great that the community and fine-tunning continues to grow. But those models are mixed in with almost everything now (and because race or culture wasn't specifically tagged) sometimes it might be difficult to get results that don't have asian or anime influence. This embedding aims to assist with that. It can even change anime characters (though that wasn't the intended purpose).
I first created this when trying to make preview images for my South of the Border Style embedding. I was trying to get south american people and culture, but there was a lot of asian culture leaking into the generated images. This embedding fixed that. So it doesn't specifically race-swap asian to white-caucasian, it just removes asian so your prompts can be more effective with whatever other race or culture you're trying to portray.
How to use: Use the negative prompt primarily, then use the positive prompts only if you need the additional help. There are 3 files to download.
Asian-Less2-Neg: Use this one, place in your negative prompt at strength of 1.0 (more updated embedding to account for more modern models)
Asian-Less-Neg: Use this one, place in your negative prompt at strength of 1.0
Asian-Less: Only use this in the positive prompt if you need the extra strength. On an asian-specific model for example.
Asian-Less-Toon: Only use this in the positive prompt if you need to remove anime-like features in illustrations.
Again, this isn't meant to race-swap, but to help get other race and/or cultures in your image generation without the influence of the asian image training. But like all models, the intended use and what you do with it are separate matters.
Do you have requests? I've been putting in many more hours lately with this. That's my problem, not yours. But if you'd like to tip me, buy me a beer. Beer encourages me to ignore work and make AI models instead. Tip and make a request. I'll give it a shot if I can.Here at Ko-Fi
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Prompt
women sitting in a luxurious room wearing sweater and long pants
+
\ No newline at end of file
diff --git a/embed/part_1/Asian-Less2-Neg.json b/embed/part_1/Asian-Less2-Neg.json
new file mode 100644
index 0000000000000000000000000000000000000000..d851a167f91762277fdb0e9e25fee420fc748603
--- /dev/null
+++ b/embed/part_1/Asian-Less2-Neg.json
@@ -0,0 +1,7 @@
+{
+ "activation text": "Asian-Less2-Neg",
+ "description": "This tool doesn't specifically race-swap asian to white-caucasian, it just removes asian so your prompts can be more effective with whatever other race or culture you're trying to portray. This is due mostly to heavy training that doesn't tag race or culture.Follow me to make sure you see new tools like this, or new styles https://civitai.com/tag/zstyle, poses https://civitai.com/tag/zpose and Nobodys https://civitai.com/tag/znobody when I post them. More Clutter series coming too. Things move fast on this site, it's easy to miss.Most of the recent, good, training has been using anime and models trained on asian people and it's culture. Nothing wrong with that, it's great that the community and fine-tunning continues to grow. But those models are mixed in with almost everything now (and because race or culture wasn't specifically tagged) sometimes it might be difficult to get results that don't have asian or anime influence. This embedding aims to assist with that. It can even change anime characters (though that wasn't the intended purpose).I first created this when trying to make preview images for my South of the Border https://civitai.com/models/25749/south-of-the-border-style Style embedding. I was trying to get south american people and culture, but there was a lot of asian culture leaking into the generated images. This embedding fixed that. So it doesn't specifically race-swap asian to white-caucasian, it just removes asian so your prompts can be more effective with whatever other race or culture you're trying to portray.How to use:Use the negative prompt primarily, then use the positive prompts only if you need the additional help. There are 3 files to download.Asian-Less2-Neg: Use this one, place in your negative prompt at strength of 1.0 (more updated embedding to account for more modern models)Asian-Less-Neg: Use this one, place in your negative prompt at strength of 1.0Asian-Less: Only use this in the positive prompt if you need the extra strength. On an asian-specific model for example.Asian-Less-Toon: Only use this in the positive prompt if you need to remove anime-like features in illustrations.Again, this isn't meant to race-swap, but to help get other race and/or cultures in your image generation without the influence of the asian image training. But like all models, the intended use and what you do with it are separate matters.Do you have requests? I've been putting in many more hours lately with this. That's my problem, not yours. But if you'd like to tip me, buy me a beer. Beer encourages me to ignore work and make AI models instead. Tip and make a request. I'll give it a shot if I can. Here at Ko-Fi https://ko-fi.com/zovya",
+ "sd version": "SD1",
+ "modelId": 50755,
+ "sha256": "6584E401AA59A137DA7ED20FD29F9518E2B3248090A1CEB18A740E3B1B5E743C"
+}
\ No newline at end of file
diff --git a/embed/part_1/Asian-Less2-Neg.preview.png b/embed/part_1/Asian-Less2-Neg.preview.png
new file mode 100644
index 0000000000000000000000000000000000000000..38cd7398040970e7f00699a841b7048d8a207ab6
Binary files /dev/null and b/embed/part_1/Asian-Less2-Neg.preview.png differ
diff --git a/embed/part_1/Asian-Less2-Neg.pt b/embed/part_1/Asian-Less2-Neg.pt
new file mode 100644
index 0000000000000000000000000000000000000000..84690f842b6f47c162d5c28b12d30e4e9ef6c316
--- /dev/null
+++ b/embed/part_1/Asian-Less2-Neg.pt
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6584e401aa59a137da7ed20fd29f9518e2b3248090a1ceb18a740e3b1b5e743c
+size 50115
diff --git a/embed/part_1/aa64404e8296a81526b0f0941b9f024d3418deaa#d2h-374015 b/embed/part_1/aa64404e8296a81526b0f0941b9f024d3418deaa#d2h-374015
new file mode 100644
index 0000000000000000000000000000000000000000..835360ef1b95679d314c264aa217bd309ee9a69d
--- /dev/null
+++ b/embed/part_1/aa64404e8296a81526b0f0941b9f024d3418deaa#d2h-374015
@@ -0,0 +1,606 @@
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+ Upload 3 files · Dhivimhotep/AgeSlider at aa64404
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Use the model without crediting the creator Sell images they generate Run on services that generate images for money Run on Civitai Share merges using this model Sell this model or merges using this model Have different permissions when sharing merges
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+
Description
+
Embeddings for SDXL
There are multiple embeddings here, pls check out each one of them.
Ditch those wordy prompts and get straight to the point with a single cue.
...and I see a lot of people are using SD15 embeddings on SDXL. Stop!!! They simply won’t work.
Reportedly SDXL no longer needs a long list of negative prompts, some models even perform worse when you use them. Below you can find the words for each embedding, select the one you want to use carefully.
I am going to expand this list over time. I've tested those prompts in each list, but there's always space to refine. And since some checkpoint are fragile against heavy prompting, I will try to keep these embeddings concise. Please check the list below and make sure they are indeed your desired effects before using them.
These embeddings are based on base SDXL 1.0 model, results may vary depends on what model you are using. But you can provide the prompts you'd like to use and request me to make embeddings for a specific model.
I have not yet put all of them as some styles are too niche, but it is definitely worth checking out maybe you may find something interesting for you. Negative prompts for each style are more or less the same, so I think it doesn't make sense to upload them individually here.
ZipRealism_Neg = weird eyes, mutated hands, ugly, drawing, illustration, low quality, watermark, tiling, mutation, poorly drawn hands, poorly drawn face, bad anatomy, missing fingers, crooked teeth, extra fingers, disfigured, error, abstract, 3d render, cgi, fused fingers (sometimes when I type "deformed pupil, deformed iris" like I normally do in SD15, it often makes things worse...so they are not in the list)
Zip2D = masterpiece, best quality, ultra-detailed, sharp image, high resolution
SK_Cinematic = cinematic film still, shallow depth of field, vignette, highly detailed, high budget Hollywood film, bokeh, cinemascope, moody, epic, gorgeous, film grain
SK_Fantasy = ethereal fantasy concept art , magnificent, celestial, ethereal, painterly, epic, majestic, magical, fantasy art, cover art, dreamy
SK_CyberPunk = neonpunk style, cyberpunk, vaporwave, neon, vibes, vibrant, stunningly beautiful, crisp, detailed, sleek, ultramodern, magenta highlights, dark purple shadows, high contrast, cinematic, ultra detailed, intricate, professional
SK_Ghibli = Studio ghibli style, Art by Hayao Miyazaki, Anime Style, Manga Style, Hand drawn, cinematic, Sharp focus, humorous illustration, big depth of field, Masterpiece, concept art, trending on artstation, Vivid colors, Simplified style, trending on ArtStation, trending on CGSociety, Intricate, Vibrant colors, Soft Shading, Simplistic Features, Sharp Angles, Playful
SK_Vectorart = Vector art, Vivid colors, Clean lines, Sharp edges, Minimalist, Precise geometry, Simplistic, Smooth curves, Bold outlines, Crisp shapes, Flat colors, Illustration art piece, High contrast shadows, Technical illustration, Graphic design, Vector graphics, High contrast, Precision artwork, Linear compositions, Scalable artwork, Digital art (This one has a very strong effect, please use higher weight on your main prompt)
...more to add
If you have better prompts that you would like to share to the community or you want me to remake one of these embeddings, you can leave your comments down below.
All demo images were generated without adetailer and controlnet.
Like what I'm up to? Feel free to treat me a Ko-fi. Cheers!
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Prompt
beautiful woman wearing fantastic hand-dyed cotton clothes, embellished beaded feather decorative fringe knots, colorful pigtail , subtropical flowers and plants, symmetrical face, intricate, elegant, highly detailed, 8k, digital painting,trending on pinterest, harperâs bazaar, concept, art, sharp focus, illustration, Tom Bagshaw, Lawrence Alma-Tadema, Alphonse Mucha
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diff --git a/embed/part_1/ac_neg1.json b/embed/part_1/ac_neg1.json
new file mode 100644
index 0000000000000000000000000000000000000000..28e0c96fc19208eb05759edceb102f83f7c77d49
--- /dev/null
+++ b/embed/part_1/ac_neg1.json
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+{
+ "activation text": "ac_neg1",
+ "description": "Embeddings for SDXLThere are multiple embeddings here, pls check out each one of them.Ditch those wordy prompts and get straight to the point with a single cue....and I see a lot of people are using SD15 embeddings on SDXL. Stop!!! They simply won\u2019t work.Reportedly SDXL no longer needs a long list of negative prompts, some models even perform worse when you use them. Below you can find the words for each embedding, select the one you want to use carefully.I am going to expand this list over time. I've tested those prompts in each list, but there's always space to refine. And since some checkpoint are fragile against heavy prompting, I will try to keep these embeddings concise. Please check the list below and make sure they are indeed your desired effects before using them.These embeddings are based on base SDXL 1.0 model, results may vary depends on what model you are using. But you can provide the prompts you'd like to use and request me to make embeddings for a specific model.AC_Negs are general negative embeddings derived from negative prompts tested and recommended by AI Character in his article Here. You can read about more details. (Thanks man). Please check out his articles, they are super useful and informative. https://civitai.com/articles/2141/good-universal-negative-prompt-for-sdxl-10It is quite an extensive list, and I am not sure if you want to use all of them at once, so I split them into two parts for different usecases.SK Styles are shared here by Sebastian Kamph (Huge thanks). https://www.patreon.com/posts/sebs-hilis-79649068I have not yet put all of them as some styles are too niche, but it is definitely worth checking out maybe you may find something interesting for you. Negative prompts for each style are more or less the same, so I think it doesn't make sense to upload them individually here.What are in these text embeddings:ZipRealism = UHD, 8k, F2.8, RAW Photo, ultra detailed, sharp focusZipRealism_Neg = weird eyes, mutated hands, ugly, drawing, illustration, low quality, watermark, tiling, mutation, poorly drawn hands, poorly drawn face, bad anatomy, missing fingers, crooked teeth, extra fingers, disfigured, error, abstract, 3d render, cgi, fused fingers (sometimes when I type \"deformed pupil, deformed iris\" like I normally do in SD15, it often makes things worse...so they are not in the list)Zip2D = masterpiece, best quality, ultra-detailed, sharp image, high resolutionZip2D_Neg = worst quality, low quality, lowres, poorly drawn hands, poorly drawn face, bad hands, bad anatomy, 3d, blurry, watermark, signature, ugly, jpeg artifactsAC_Neg1 = text watermark signature,low-quality,moir\u00e9 pattern, downsampling, aliasing, blurry blur, glossy, jpeg artifacts, compression artifacts,poorly drawn,low-resolution bad ,error,pattern,beginner, grainy, glitch (More on poor quality image errors)AC_Neg2 = distorted, distortion, twisted, excessive, exaggerated pose, exaggerated limbs, symmetrical,duplicate, pixelated, fake, hyper, overexposed, high-contrast, bad-contrast (More on style, composition and colors)I do not recommend use all these negative prompt at the same time.SK_3D = professional 3d model, octane render, highly detailed, volumetric, dramatic lightingSK_Analogfilm = analog film photo {prompt}, faded film, desaturated, 35mm photo, grainy, vignette, vintage, Kodachrome, Lomography, stained, highly detailed, found footageSK_Anime = anime artwork, anime style, key visual, vibrant, studio anime, highly detailedSK_Cinematic = cinematic film still, shallow depth of field, vignette, highly detailed, high budget Hollywood film, bokeh, cinemascope, moody, epic, gorgeous, film grainSK_Comic = comic, graphic illustration, comic art, graphic novel art, vibrant, highly detailed\",\"photograph, deformed, glitch, noisy, realistic, stock photoSK_DigitalArt = concept art, digital artwork, illustrative, painterly, matte painting, highly detailedSK_Fantasy = ethereal fantasy concept art , magnificent, celestial, ethereal, painterly, epic, majestic, magical, fantasy art, cover art, dreamySK_CyberPunk = neonpunk style, cyberpunk, vaporwave, neon, vibes, vibrant, stunningly beautiful, crisp, detailed, sleek, ultramodern, magenta highlights, dark purple shadows, high contrast, cinematic, ultra detailed, intricate, professionalSK_Ghibli = Studio ghibli style, Art by Hayao Miyazaki, Anime Style, Manga Style, Hand drawn, cinematic, Sharp focus, humorous illustration, big depth of field, Masterpiece, concept art, trending on artstation, Vivid colors, Simplified style, trending on ArtStation, trending on CGSociety, Intricate, Vibrant colors, Soft Shading, Simplistic Features, Sharp Angles, PlayfulSK_Vectorart = Vector art, Vivid colors, Clean lines, Sharp edges, Minimalist, Precise geometry, Simplistic, Smooth curves, Bold outlines, Crisp shapes, Flat colors, Illustration art piece, High contrast shadows, Technical illustration, Graphic design, Vector graphics, High contrast, Precision artwork, Linear compositions, Scalable artwork, Digital art (This one has a very strong effect, please use higher weight on your main prompt)...more to addIf you have better prompts that you would like to share to the community or you want me to remake one of these embeddings, you can leave your comments down below.All demo images were generated without adetailer and controlnet.Like what I'm up to? Feel free to treat me a Ko-fi https://ko-fi.com/nextmealslider. Cheers!",
+ "sd version": "SDXL",
+ "modelId": 148131,
+ "sha256": "28556C15DEF05039C44463261F8F68FE88BFE39AF03267FE6343BFF1A382C5B2"
+}
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+ "sd version": "unknown",
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Use the model without crediting the creator Sell images they generate Run on services that generate images for money Run on Civitai Share merges using this model Sell this model or merges using this model Have different permissions when sharing merges
This model is used for animation models based on SDXL to help optimize the image generated by the model used. It can greatly improve:
Basic quality. This includes increasing clarity, contrast, and saturation to generally recognized aesthetic levels, and (strongly) mitigating severe content corruption, distortion, and clutter;
Human anatomy. Includes improvements to body anatomy, face and hands, with results varying by model;
I strongly encourage you to use it in any SDXL-based animation model, and give feedback in the comment area of this page, including: the model used and the specific effects.
The model is used in the same way as a normal embedding model.The difference is that you need to trigger the model on negative prompt area rather the positive.
2. Experiments
Update October 29, 2023: Tested on the AIDXLv0.5 model [3], the impact on the generated image of using the v0.5 version is almost positive.It works wonders in the vast majority of cases.
3. How to Train & Create
The negative text embedding, or neg emb for short, is refined using the method mentioned in article [1] and merged with the XL-ized aid210 negative text embedding [2].This is an experimental product but performs well on the AIDXL [3] series models.
For the usage of negative embeddings, you may move to the model introduction in [2].
Those who are interested in how to convert an emb model based on SD1.5 into an emb model based on SDXL can read the fourth section of the article [1].
Appendix A. Tutorial for Embedding Model Usage
If you haven't used any embedding model yet, please follow the following tutorial:
Model Installation
To install an embedding model, you only need to move your model file into:
For webui users: {your webui installation directory}/embeddings/ folder;
For ComfyUI users: {your ComfyUI installation directory}/models/embeddings/ folder;
For other API users, please see the instructions of your API.
Model Trigger
Simply put, the embedding model is just an additional custom tag. In webui, its triggering methods are the same as general prompt tags. That is, you can enter the filename of your embedding model (exclude its file extension) to trigger.For example, assuming your embedding model file is named "abc.safetensors". Then you only need to enter "abc" in the prompt area to trigger.
Triggering embedding with ComfyUI is slightly different. To do this, you need to add the prefix "embedding:" to the trigger word based on webui.For example, assuming your embedding model file is named "abc.safetensors". Then you need to enter "embedding:abc" in the prompt area to trigger.
For this model, the only difference is that you need to trigger within the negative prompt area instead of the positive.
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diff --git a/embed/part_1/aidxlv05_neg.json b/embed/part_1/aidxlv05_neg.json
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+{
+ "activation text": "aidxlv05_neg",
+ "description": "\u4ecb\u7ecd\uff08Chinese Ver.\uff091. \u7b80\u4ecb\u672c\u6a21\u578b\u7528\u4e8e \u4ee5 SDXL \u4e3a\u5e95\u7684\u52a8\u6f2b\u6a21\u578b\uff0c\u5e2e\u52a9\u4f18\u5316\u6240\u4f7f\u7528\u6a21\u578b\u751f\u6210\u56fe\u50cf\u7684\uff1a\u57fa\u7840\u8d28\u91cf\u3002\u5305\u62ec\u589e\u52a0 \u6e05\u6670\u5ea6\u3001\u5bf9\u6bd4\u5ea6 \u548c \u9971\u548c\u5ea6 \u81f3\u666e\u904d\u8ba4\u53ef\u7684\u7f8e\u5b66\u6c34\u5e73\uff0c\uff08\u8f83\u5f3a\u5730\uff09\u7f13\u89e3\u4e25\u91cd\u5185\u5bb9\u5d29\u574f\u3001\u626d\u66f2\u3001\u6742\u4e71\uff1b\u4eba\u7269\u80a2\u4f53\u3002\u5305\u62ec\u6539\u5584\u4eba\u4f53\u7ed3\u6784\u3001\u9762\u90e8 \u548c \u624b\u90e8\uff0c\u6548\u679c\u56e0\u6a21\u578b\u800c\u6709\u6240\u5dee\u5f02\uff1b\u6211\u5f3a\u70c8\u9f13\u52b1\u60a8\u5c06\u5b83\u7528\u4e8e \u4efb\u4f55 \u57fa\u4e8e SDXL \u7684\u52a8\u6f2b\u6a21\u578b \u4e4b\u4e2d\uff0c\u5e76\u4e8e\u672c\u9875\u9762\u7684\u8bc4\u8bba\u533a\u7ed9\u4e88\u53cd\u9988\uff0c\u5305\u62ec\uff1a\u6240\u4f7f\u7528\u7684\u6a21\u578b\uff0c\u5177\u4f53\u6548\u679c\u3002\u6a21\u578b\u4f7f\u7528\u65b9\u5f0f\u4e0e\u4e00\u822c embedding \u6a21\u578b\u76f8\u540c\u3002\u4e0d\u540c\u7684\u662f\uff0c\u60a8\u9700\u8981\u4e8e \u8d1f\u9762\u63d0\u793a\u8bcd \u4e2d\u89e6\u53d1\u8be5\u6a21\u578b\uff0c\u800c\u975e\u6b63\u9762\u63d0\u793a\u8bcd\u30022. \u5b9e\u9a8c2023\u5e7410\u670829\u65e5\u66f4\u65b0\uff1a\u7ecf\u8fc7\u5728 AIDXLv0.5 \u6a21\u578b [3] \u4e0a\u7684\u6d4b\u8bd5\uff0c\u4f7f\u7528 v0.5 \u7248\u672c\u5bf9\u56fe\u50cf\u7684\u5f71\u54cd \u51e0\u4e4e \u662f\u6b63\u9762\u7684\u3002\u5b83\u5728 \u7edd\u5927\u591a\u6570\u60c5\u51b5\u4e0b \u6548\u679c\u663e\u8457\u30023. \u5236\u4f5c\u65b9\u5f0f\u8be5\u6a21\u578b\u7684\u9996\u4e2a\u7248\u672c\uff0c\u4f7f\u7528\u6587\u7ae0 [1] \u4e2d\u63d0\u5230\u7684\u65b9\u6cd5\u70bc\u5236\uff0c\u5e76\u4e0e XL \u5316\u540e\u7684 aid210 \u8d1f\u9762\u6587\u672c\u5d4c\u5165 [2] \u878d\u5408\u540e\u5236\u6210\u3002\u8fd9\u662f\u4e00\u4e2a\u5b9e\u9a8c\u6027\u7684\u4ea7\u7269\uff0c\u5728 AIDXL [3] \u7cfb\u6a21\u578b\u7684\u8868\u73b0\u826f\u597d\u3002\u8d1f\u9762 emb \u7684\u4f7f\u7528\u65b9\u6cd5\u89c1 [2] \u4e2d\u7684\u6a21\u578b\u4ecb\u7ecd\u3002\u5bf9\u5982\u4f55\u5c06\u57fa\u4e8e SD1.5 \u7684 emb \u6a21\u578b\u8f6c\u5316\u4e3a SDXL \u7684 emb \u6a21\u578b\u6709\u5174\u8da3\u8005\u53ef\u9605\u8bfb [1] \u6587\u7ae0\u4e2d\u7684\u7b2c\u56db\u5927\u8282\u3002\u9644\u5f55 A. Embedding \u6a21\u578b\u4f7f\u7528\u6559\u7a0b\u5982\u679c\u60a8\u8fd8\u672a\u4f7f\u7528\u8fc7 embedding \u6a21\u578b\uff0c\u8bf7\u8ddf\u968f\u4ee5\u4e0b\u4f7f\u7528\u6559\u7a0b\uff1a\u6a21\u578b\u5b89\u88c5\u5b89\u88c5 embedding \u6a21\u578b\u975e\u5e38\u7b80\u5355\uff0c\u53ea\u9700\u5c06\u6a21\u578b\u6587\u4ef6\u62d6\u5165\uff1a \u5bf9\u4e8e webui \u4f7f\u7528\u8005\uff1a{\u4f60\u7684 webui \u5b89\u88c5\u76ee\u5f55}/embeddings/ \u6587\u4ef6\u5939\u5185\uff1b\u5bf9\u4e8e ComfyUI \u4f7f\u7528\u8005\uff1a {\u4f60\u7684 ComfyUI \u5b89\u88c5\u76ee\u5f55}/models/embeddings/ \u6587\u4ef6\u5939\u5185\uff1b\u5bf9\u4e8e\u5176\u5b83 API \u4f7f\u7528\u8005\uff0c\u8bf7\u53c2\u9605\u60a8\u4f7f\u7528 API \u7684\u8bf4\u660e\u3002\u6a21\u578b\u4f7f\u7528\u901a\u4fd7\u7406\u89e3\uff0cembedding \u6a21\u578b\u662f\u989d\u5916\u7684\u81ea\u5b9a\u4e49 tag\uff0c\u5728 webui \u4e2d\uff0c\u5176\u8c03\u7528\u65b9\u5f0f\u548c\u89e6\u53d1\u65b9\u5f0f\u4e0e\u4e00\u822c\u63d0\u793a\u8bcd\u65e0\u5f02\uff0c\u5373\uff0c\u60a8\u53ef\u4ee5\u901a\u8fc7\u5728 webui \u7684\u63d0\u793a\u8bcd\u6846\u5185\u8f93\u5165\u60a8 embedding \u6a21\u578b\u7684\u6587\u4ef6\u540d\uff08\u4e0d\u5305\u542b\u6269\u5c55\u540d\uff09\u89e6\u53d1\u3002\u4f8b\u5982\uff0c\u5047\u8bbe\u60a8\u7684 embedding \u6a21\u578b\u6587\u4ef6\u540d\u4e3a \"abc.safetensors\"\uff0c\u5219\u60a8\u53ea\u9700\u8981\u5728\u63d0\u793a\u8bcd\u6846\u5185\u8f93\u5165 \"abc\" \u5373\u53ef\u89e6\u53d1\u3002\u7528 ComfyUI \u89e6\u53d1 embedding \u5219\u7a0d\u5fae\u4e0d\u540c\uff0c\u60a8\u9700\u8981\u5728\u89e6\u53d1\u65f6\uff0c\u5728 webui \u7684\u57fa\u7840\u4e0a\u4e3a\u89e6\u53d1\u8bcd\u6dfb\u52a0\u524d\u7f00 \"embedding:\"\u3002\u4f8b\u5982\uff0c\u5047\u8bbe\u60a8\u7684 embedding \u6a21\u578b\u6587\u4ef6\u540d\u4e3a \"abc.safetensors\"\uff0c\u5219\u60a8\u53ea\u9700\u8981\u5728\u63d0\u793a\u8bcd\u6846\u5185\u8f93\u5165 \"embedding:abc\" \u5373\u53ef\u89e6\u53d1\u3002\u5bf9\u4e8e\u672c\u6a21\u578b\uff0c\u552f\u4e00\u7684\u4e0d\u540c\u53ea\u662f\u60a8\u9700\u8981\u5728\u8d1f\u9762\u63d0\u793a\u8bcd\u6846\u5185\u89e6\u53d1\uff0c\u800c\u975e\u6b63\u9762\u63d0\u793a\u8bcd\u3002Introduction (\u82f1\u6587\u7248)1. IntroductionThis model is used for animation models based on SDXL to help optimize the image generated by the model used. It can greatly improve:Basic quality. This includes increasing clarity, contrast, and saturation to generally recognized aesthetic levels, and (strongly) mitigating severe content corruption, distortion, and clutter;Human anatomy. Includes improvements to body anatomy, face and hands, with results varying by model;I strongly encourage you to use it in any SDXL-based animation model, and give feedback in the comment area of this page, including: the model used and the specific effects.The model is used in the same way as a normal embedding model. The difference is that you need to trigger the model on negative prompt area rather the positive.2. ExperimentsUpdate October 29, 2023: Tested on the AIDXLv0.5 model [3], the impact on the generated image of using the v0.5 version is almost positive. It works wonders in the vast majority of cases.3. How to Train & CreateThe negative text embedding, or neg emb for short, is refined using the method mentioned in article [1] and merged with the XL-ized aid210 negative text embedding [2]. This is an experimental product but performs well on the AIDXL [3] series models.For the usage of negative embeddings, you may move to the model introduction in [2].Those who are interested in how to convert an emb model based on SD1.5 into an emb model based on SDXL can read the fourth section of the article [1].Appendix A. Tutorial for Embedding Model UsageIf you haven't used any embedding model yet, please follow the following tutorial:Model InstallationTo install an embedding model, you only need to move your model file into:For webui users: {your webui installation directory}/embeddings/ folder;For ComfyUI users: {your ComfyUI installation directory}/models/embeddings/ folder; For other API users, please see the instructions of your API.Model TriggerSimply put, the embedding model is just an additional custom tag. In webui, its triggering methods are the same as general prompt tags. That is, you can enter the filename of your embedding model (exclude its file extension) to trigger. For example, assuming your embedding model file is named \"abc.safetensors\". Then you only need to enter \"abc\" in the prompt area to trigger. Triggering embedding with ComfyUI is slightly different. To do this, you need to add the prefix \"embedding:\" to the trigger word based on webui. For example, assuming your embedding model file is named \"abc.safetensors\". Then you need to enter \"embedding:abc\" in the prompt area to trigger.For this model, the only difference is that you need to trigger within the negative prompt area instead of the positive.\u5f15\u7528 / References[1] https://civitai.com/articles/2056 https://civitai.com/articles/2056[2] https://civitai.com/models/16807/useful-quality-embeddings-animeillustdiffusion https://civitai.com/models/16807/useful-quality-embeddings-animeillustdiffusion[3] https://civitai.com/models/124189/anime-illust-diffusion-xl https://civitai.com/models/124189/anime-illust-diffusion-xl",
+ "sd version": "SDXL",
+ "modelId": 144327,
+ "sha256": "84A6266ECAA6F869DC56D992E929E47098DDD4C495BE5B80430CB037C4D89BD5"
+}
\ No newline at end of file
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+size 131224
diff --git a/embed/part_1/an10.json b/embed/part_1/an10.json
new file mode 100644
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--- /dev/null
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+{
+ "description": "
This TI was created by retraining an8 with the kohya-ss version of textualinversion.
This TI was retrained using the kohya-ss version of an8 with textualinversion, and two patterns of TI were merged using embedding merge: one that resulted in a more easynegative result and one that was closer to the model picture.
Please use it in the \"\\stable-diffusion-webui\\embeddings\" folder. Please use this embedding with trigger words of each version (ex.an8) in the NEGATIVE prompt form.
",
+ "sd version": "SD1",
+ "activation text": "an10",
+ "preferred weight": 0.8,
+ "notes": "",
+ "modelId": 58726,
+ "sha256": "FE072B67D816574449B28FEA47AB3D3D115224C8D2025B8811BBB295897E7313"
+}
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diff --git a/embed/part_1/anime-style-negative-embedding.json b/embed/part_1/anime-style-negative-embedding.json
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--- /dev/null
+++ b/embed/part_1/anime-style-negative-embedding.json
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+{
+ "description": "
I created different vector versions of the embedding- from one to five vectors, and a 75 vector version. After doing far too many x/y/z plots, I determined that the best version for the intended use was the Five Vector version that was trained until step 500 at a batch size of 4 using the \"d-adaptation\" learning algo, and used the cosine annealing learning rate scheduler at a cycle of 1000 steps with 50 warmup steps. AdamW was enabled and left at default settings. The extension I used to train the embedding is this extension for A1111 WebUI.
You can checkout all the other versions if near the download button you click the arrow, and then click \"training data\". Five vectors at 500 steps \"won\" because the other version were either too baked (too many steps) or the differences were negligible. I tried to train until 5000 steps, but sometimes google colab would error out around the 4000-5000 step mark, which lead to a few of embeddings not having a 4500 or 5000 step version. The .optim files are included if you are interesting in resuming training on one of the embeddings.
There were 5000 training images that were used, though since the \"chosen\" version was trained until step 500 at batch 4, that means only 2000 of the images contributed the training of that embedding. If you are interested in the training images, I have them uploaded as a separate \"version\" called \"Actual Training Images\".
Use the model without crediting the creator Sell images they generate Run on services that generate images for money Run on Civitai Share merges using this model Sell this model or merges using this model Have different permissions when sharing merges
+
+
+
+
+
+
Description
+
Greetings!
This is a textual inversion based on SDXL 1.0 images with the refiner, tested and trained to enhance the effectiveness of the output of human figures. It is meant to correct mutation like symptoms of the face and hands, and it has an excellent improvement in the clothing and blurriness and realism of such features as the skin.
Simply place this in your "embeddings" folder and type "bad X" into your negative prompt.
girl in car, high detail, beautiful, aesthetic, pretty, dramatic light, sharp focus
Seed
0
Steps
0
CFG scale
0
+
+
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+{
+ "activation text": "bad X",
+ "description": "Greetings!This is a textual inversion based on SDXL 1.0 images with the refiner, tested and trained to enhance the effectiveness of the output of human figures. It is meant to correct mutation like symptoms of the face and hands, and it has an excellent improvement in the clothing and blurriness and realism of such features as the skin.Simply place this in your \"embeddings\" folder and type \"bad X\" into your negative prompt.I have a new account on buymeacoffee:: https://bmc.link/ricesilo11W https://bmc.link/ricesilo11WAnd if you enjoy Stable Diffusion art, check out my galleries: https://deviantart.com/ricesilo https://deviantart.com/ricesiloCommissions Available, contact me on Discord username: RiceSilohttps://ko-fi.com/ricesilo/commissions https://ko-fi.com/ricesilo/commissions",
+ "sd version": "SDXL",
+ "modelId": 122403,
+ "sha256": "D0242B03F0C1BB74A54BFA6FC82142A09AD21A9D8A6B6E96242ED46248FAFD7B"
+}
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+{
+ "sha256": "AA37BA0C7F26F2C0F74A7B25346D6A61091B0FF0C99F04D38CD1FA1261EC1694",
+ "modelId": "Model not found"
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+{
+ "description": "
Not much changes, just a model rename and version rename. Adjustments shouldn't be a version breaking change, but a minimal one.
",
+ "sd version": "SD1",
+ "activation text": "bad-hands-5",
+ "preferred weight": 0.8,
+ "notes": "",
+ "modelId": 116230,
+ "sha256": "AA7651BE154C46A2F4868788EF84A92B3083B0C0C5C46F5012A56698BFD2A1BA"
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+{
+ "sha256": "796C84E2A27C24EA704350492E4F25BBC9022B0B9DA30CC0BA8F1EE25F3D89F4",
+ "modelId": "Model not found"
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+{"id":490120,"name":"gwen tennyson - Ben 10","description":"
works well with weight 0.7,Not perfect at recreating the original outfit, it's mainly trained to produce cartoon style art, I really like how lora ended up looking
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+{"id":482290,"name":"Inkershike style","description":"
Recommended power: 0.8-1.5
idk who this person is but this was a request i made using a dataset someone created
this style generates cartoons and screencaps looking scenes, not sure why its an artist, could have easily been a screencap prompt but nevertheless here is the inkershike / inker comics/ cooler inker style
Default Outfit:hoodie, armor, jeans, fingerless gloves, belt
Add blonde hair and blue eyes if necessary.
The results of your generations are dependent on the additional LoRAs, weights, and models you use, so it may not work or come out as consistent as my sample images. Other reasons may include me using xformers, token merging, and a modified DPM++ 2M Karras sampler. You'll also notice that my prompt includes <lyco:. Note that all my LoRA files are located within my LyCORIS folder. If the model is labeled as a LoRA, it's a simple LoRA. If it's specified as a LyCORIS, it's a LoHa.
Default Outfit:hoodie, armor, jeans, fingerless gloves, belt
Add blonde hair and blue eyes if necessary.
The results of your generations are dependent on the additional LoRAs, weights, and models you use, so it may not work or come out as consistent as my sample images. Other reasons may include me using xformers, token merging, and a modified DPM++ 2M Karras sampler. You'll also notice that my prompt includes <lyco:. Note that all my LoRA files are located within my LyCORIS folder. If the model is labeled as a LoRA, it's a simple LoRA. If it's specified as a LyCORIS, it's a LoHa.
Make sure to change the weight (by default it's :1 which is usually too high)
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diff --git a/tklg_hk_000001/tklg_hk_000001.civit.full.info b/tklg_hk_000001/tklg_hk_000001.civit.full.info
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+{"id":299662,"name":"The Knight / Little Ghost (Hollow Knight)","description":"
(make sure to lower the lora's weight if you want him without a cloak- thank you nonexistent for bringing that up in the comments i should've tested on that beforehand xD)
The trigger words for this lora; the_knight, mouthless, black eyes, two horns, white head, black body, blue cloak
Additional non-trigger words to help with the prompting; mouthless, featureless arms (if you want him generated without fingers), hollow knight, featureless legs
----
Be aware that CivitAI will not give you the same results as the showcases provided. CivitAI generates things differently from Stable Diffusion and ComfyUI. Put your effort in and work him to your own style and image!
----
I'm still surprised there was only just a single lora for this dude. You'd think they'd have just as much as Hornet, but no, there's only one! One that I didn't even know was a Hollow Knight lora...
Trained on 22 images. Great and compatible with styles and poses, though it depends on what style and/or pose you're relying on, so it's best to get experimental. Lora's also great at doing shortstack bodies.
Not good for multiple characters, though; Chances they'll either have a missing horn, one horn, weird looking horns, a white body, or no eyes at all. Same can happen solo, but less likely, and has a higher chance of happening depending on the sample (ex: Euler and DDIM). Of course, it may work for you and just not for me. Only see for yourself.