NOTE: There are two versions of this character, an older (around 28-30 years old) and a younger (around 19-21). Switch versions via the buttons above the sample images.

--

Marilee is the first in a new intended series of custom character (not a real person) checkpoints, for use as a consistent character. Inspired by earlier works you should check out in the Nobody series and LastName series of consistent characters. Was looking for a model with a little sturdier midwest-USA stock and less angular Euro features, and decided to just make one.

--

Growing up as somewhat of a lanky athlete and loner in rural Idaho, Marilee found joy in sci fi movies, online games, and helping around the farm. She discovered her talent for volleyball in high school, and her passion for theatre in college, where she blossomed into a confident and attractive young woman. She had dreams of pursuing a career in coaching, or maybe trying her hand at professional theatre in big cities like Chicago or even New York, but life took a different turn when she returned to her hometown to care for her aging Dad and the family farm.

--

To install, download and then place in the /embeddings/ folder. Trigger word is MarileeSD15. For use with Stable Diffusion 1.5 models. Tested to work very well with a variety of of 1.5 models, including Avalon Truvision, Deliberate, GalaxyTimeMachine, Clarity, and others.

Again inspired by the excellent work of those who have come before, to give the most realistic impression the sample images above have no inpainting or upscaling and are pure txt2img gens from a variety of checkpoint models.

Trained using GrapeLikeDreamFruit

This person does not exist. But she can wear a costume. All of the sample images are pure txt2txt prompt. No ControlNet or img2img.

Renee Olstead

Renee Olstead is an American actress and singer. She is best known for her roles on the CBS sitcom Still Standing and on the ABC Family drama The Secret Life of the American Teenager

Like my work? Buy me a beer!

[ SDv1.4, 5e-03, 2400, v/s .201 ]

Molly Quinn

Molly is an American actress who has worked in theatre, film, and television. She was in Guardians of the Galaxy Vol. 2.

Like my work? Buy me a beer!

[ SDv1.4, 5e-03, 3200, v/s .199 ]

Holland Roden

Holland is an American actress. She is known for her roles as Lydia Martin in MTV's teen drama series Teen Wolf, and the movie of the same name.

Like my work? Buy me a beer!

[ SDv1.4, 5e-03, 2600, v/s .204 ]

Julia Volkova, is a Russian singer, she is essentially known to be one of two members with Lena Katina of the Russian pop rock band t.A.T.u
26 images (1999>2004) 5000steps

A commission of @Zorglub.

Moon Bloodgood is an American actress and model, known for her roles in Terminator: Salvation and the series Falling Skies, among others.

1200-step TI trained on a dataset of 20 images. Learning rate: 0.004 until step 1000, then 0.003 until 1200. Other settings are back to my usual parameters.

Curious about my work process? I have summarized it here.

Appreciate my work? My TIs are free, but you can always buy me a coffee. :)

Trained using GrapeLikeDreamFruit

This person does not exist.

Trained on SD1.5 using screencaps from the Tron Legacy movie.

There are currently two styles to pick from. Both work well, but style B should focus more on the light strips present in the clothes and buildings.

Creepy Chan, is the online pseudonym of fashion model Allison Harvard, whose photos were shared on 4chan as early as 2005.

Trained using GrapeLikeDreamFruit

This person does not exist.

This textual inversion (TI) adds pastel colours, floral patterns and geometric motifs. I trained it using photographs of spray-painted street art from my local area. It has a tendency to create symmetrical compositions and a strong preference for circles and curves over straight lines and right-angles.

The TI does well at paintings and stylised images, but I have also had good results with photorealistic outputs.

Alexis Ren

Do you like my work? Buy me a beer!

First - if you haven't downloaded any of @InstagramGuy 's amazing embeddings of Instagram Models, you're missing out on some serious quality - go get you some!

Alexis wasn't in his queue, so I put this together for my own selfish pleasure, and now you can pleasure yourself, too....uh, or something like that.

I changed my methodology up and used a 25e-04 learning rate (exactly half the default) and I like the way this turned out. I set it to run 20,000 steps but stopped it early, tested, and have settled on the 9000-step version.

I also built her on v1.4 and I can't complain - as usual she looks best on all of the nicer Models available here.

Trained using GrapeLikeDreamFruit

Trained on stills from the 1965 training video "How to be an effective supermarket checker"

Kaley Cuoco is an American actress, mainly known for her role as Penny in The Big Bang Theory series.

450-step TI trained on a dataset of 18 images with my new settings. This is a bit of an experiment, mainly based on this (ongoing) conversation, particularly on the comments and expertise shared by @7016jayAlex, for which I want to give him special thanks. Basically, what's changed is that I have reduced my dataset to 18 images and increased my gradient accumulation steps to 6, so that I now run a full epoch per step (3 batch size * 6 gradient = 18, the exact number of pics in my dataset). That way, I can achieve similar results to the ones I've been posting until now with around 400, 450 steps, as in this case. I gotta say it takes me basically the same time to train, though. I'll train a few more TIs following this new procedure and then decide whether I like it better or worse (or maybe exactly the same) as my previous one. For now, I gotta say it looks pretty good! :)

Curious about my work process? I have summarized it here.

Appreciate my work? My TIs are free, but you can always buy me a coffee. :)

What are these

These are the textual inversion you'll often find on the posts of my models and LoRAs.

They are nothing special, but I've been requested multiple times to post them, so here we are :)

These have been tested a lot with my custom checkpoints:

• https://civitai.com/models/24149

• https://civitai.com/models/26332

• https://civitai.com/models/28322

• https://civitai.com/models/32022

The Inversions

Right now there are two inversions:

• Hotify: changes a girl appearence to make it "sexier"

• Prettify: adds makeup and change the perspective to a closeup

Guides

Learn how to create pictures like mine with my step-by-step tutorials:

• Beginner's Guide

• Prompting

• My Workflow

• Inpainting

If you want to create images with a high LoRA weight, I highly suggest you to check the tutorial.

Support

If you want to support my work, you can check out my music here:

https://inzaniak.bandcamp.com/

You can also check my AI Art accounts, where you'll find daily pictures made with my models (and previews of new ones coming):

• Instagram

• DeviantArt

介绍（中文）

基本信息

该页面为推荐用于 AnimeIllustDiffusion [1] 模型的所有文本嵌入（Embedding）。您可以从版本描述查看该文本嵌入的信息。

使用方法

您应该将下载到的负面文本嵌入文件置入您 stable diffusion 目录下的 embeddings 文件夹内。之后，您只需要在填写负面提示词处输入 badv4 即可。

评价参数

每个文本嵌入将从以下参数描述其特性：

正/负面文本嵌入：如果一个文本嵌入是正面文本嵌入，则您应该将它填写在正面提示词内发挥作用；反之，如果一个文本嵌入是负面文本嵌入，则您应该将它填写在负面提示词内发挥作用。

作用范围：一个文本嵌入主要影响的画面内容。

向量数：代表该文本嵌入占多少个词元。通常来说，您输入提示词中超过 75 个词元的部分会被忽略。因此，一个文本嵌入的向量数越少，您填入它之后剩余输入提示词的空间越多。

向量强度：一个词元向量值的大小。向量强度越高，效果越强。普通词元的向量强度为[-0.05,0.05]。不可将用括号增强提示词等效于增强向量强度。

Introduction (English)

Basic Information

This page contains all the text embeddings recommended for use with the AnimeIllustDiffusion model [1]. You can view information about the text embeddings from the version description.

Usage

You should place the downloaded negative text embedding file in the embeddings folder of your Stable Diffusion directory. After that, you only need to enter "badv4" in the field for negative prompts.

Evaluation Parameters

Each text embedding is described by the following parameters:

Positive/Negative Text Embedding: If a text embedding is a positive text embedding, it should be used in positive prompts. Conversely, if a text embedding is a negative text embedding, it should be used in negative prompts.

Scope: The main content of the image that a text embedding will primarily affect.

Vector Count: The number of token that the text embedding represents. Generally, the part of a prompt containing more than 75 tokens will be ignored. Therefore, the fewer the number of vectors in a text embedding, the more space you will have left to input the prompt.

Vector Strength: The magnitude of a token's vector. The higher the vector strength, the stronger the effect. The vector strength of token is usually between [-0.05, 0.05]. Using parentheses to enhance prompts is not equivalent to increasing vector strength.

引用 / References

[1] AnimeIllustDiffusion Model Webpage: https://civitai.com/models/16828/animeillustdiffusion

Sommer Ray is an American fitness model and social media celebrity with more than 25M followers on Instagram.

1850-step TI trained on a dataset of of 20 images with my usual settings.

Curious about my work process? I have summarized it here.

Appreciate my work? My TIs are free, but you can always buy me a coffee. :)

My first attempt so please don't judge too harshly. Although any tips for improvement I would really appreciate.

I can’t say much about Maddy Cheary, just another bimbo model from Instagram, but I really like her facial features.

Version 2: Completely retrained model from scratch

I recommend reduced weight. For example, "(madd1chear2:0.9)" works fine in most cases

Also, for maximum similarity to the original, I recommend adding "busty" before the trigger word and "freckles" in your prompts.

Stephany Gonzalez, fitness and Instagram model.

Recently, one of my favorite author @JernauGurgeh posted a TI with her. He inspired me to try my version. I tried very hard to convey not only her facial features, but also her amazing fitness shape. I hope I succeeded)

I hope someone likes it I will be glad to hear any feedback!

A textual inversion of the Fox News reporter Emily Compagno.

Stormi Maya

This is the Textual Embedding counterpart to my Stormi Maya LoRA. Stormi is a bombshell American model.

Do you like my work? Buy me a beer!

[ SDv1.4, 5e-03, 4000, v/s .197 ]

Trained on SD 1.5 base model.
Multiple models used in examples. No hires fix or face restore used.

Sanna Marin

Of course I will be glad if you buy me coffee)

Ekaterina Schulmann

Of course I will be glad if you buy me coffee)

All of my embeddings are trained with v1-5-pruned-emaonly with the vae-ft-mse-840000-ema-pruned.vae.pt VAE

Images are a from both the consistentFactor_v3Light and the realisticVisionV20_v20 models.

Here's a test versus the celebrity already in most models:

Ashley Pink

Ashley is an up-and-coming American adult film actress

Do you like my work? Buy me a beer!

[ SDv1.4, 5e-04, 3200, v/s .204 ]

Anya Ivy

Anya is an awesome American adult film acress

Do you like my work? Buy me a beer!

[ SDv1.4, 5e-03, 3600, v/s .203 ]

Valenti Vitel whose real name is Valentina Grishko is a model from Russia.

I recommend reduced weight. For example, "(v1tell:0.9)" works fine in most cases.

I hope someone likes this TI. As always, I will be happy to receive any review or feedback

Generated from fitness model images. if it creates green clothing just put color infront of your clothing prompt and/or add green negative prompts.

Why three different versions? Lower step models looks more realistic but loves the green color more, higher step models give more diverse colors but look more stylized. If you can't choose go with step 2000.

A request of @Whitelionofchrace.

Stella Maxwell is a Belgian/British/Australian supermodel, a former Victoria's Secret Angel.

1850-step TI trained on a dataset of 20 images with my usual settings.

Curious about my work process? I have summarized it here.

Appreciate my work? My TIs are free, but you can always buy me a coffee. :)

Sacha Dhawan is a British actor of Indian descent. Currently on Hulu's 'The Great', and previously seen in Doctor Who and Marvel's Iron Fist. Also does some voicework, radio plays, and traditional theatre.

Trained for a little over 7.5k on SD1.5. Further attempts just led to his head looking like a fat peanut.

Lily McMenamy is an alt model with a unique look. Large lips and exaggerated eyes. This embedding is mostly an experiment to see if I could get SD to handle her features. It somewhat worked, but I'm still posting it because she's different than your usual instagram girl with perfect features, and can actually fight against the tendencies of some styles to make everyone look the same.

Trained on vanilla SD1.5, but please don't use it for generation.

A request of @Sonet and @zepekenh0.

Yanet García is a Mexican weatherwoman, model and actress.

1000-step TI trained on a dataset of 20 images with my usual settings.

Curious about my work process? I have summarized it here.

Appreciate my work? My TIs are free, but you can always buy me a coffee. :)

Alexis Tae

Alexis Tae is an American adult film actress

Do you like my work? Buy me a beer!

[ SDv1.4, 5e-03, 3600, v/s .200 ]

Aaliyah Hadid

Aaliyah Hadid is an American adult film actress

Do you like my work? Buy me a beer!

[ SDv1.4, 5e-03, 4000, v/s .203 ]

Audrey Fleurot French actress

Trigger Words "AudreyFleurotV1"
I accept all constructive criticism

Probably going to Hell for this.

Introducing, the Lord and Savior Jesus Christ.
Just in time for him to come back to life in all of your wildest AI generation fantasies, and bring you fancy eggs filled with goodies.

Trained on all of the classic images you've seen around over the years of the ol' guy, (but let's be honest, probably not accurate to what he actually looked like if real.)
Hell, the Bible doesn't even really talk about what he looked like aside from the fact that he was probably ugly.
This embedding however, generates the total smoke show you've all come to love.

I WOULD LOVE TO SEE WHAT YOU MAKE, I PRAY THAT YOU ALL WILL THROW SOME RESULTS UP HERE.

Happy Easter ya'll.

Lower CFG gives best results, I hang out around 4.5.

TIP - DON'T USE MANY (if any) DESCRIPTIVE WORDS ABOUT THE SUBJECT IN YOUR PROMPT WHEN USING A SUBJECT BASED TI.
Textual Inversions are trained on the appearance of the subject, therefore every time you add a descriptive element (hair color, body type, etc) to your prompt, you are fighting the embedding and results will be less accurate. Stuff like hairstyles (hair in a ponytail) usually will not fight an embedding and can help if they describe actual traits in the embedding, but if they aren't true to the character it will only fight it. And too many of them definitely will fight it.

When using textual inversions for people/characters, use a formula like:
<embedding> + scene + pose/outfit + environment/lighting/quality triggers

Lower CFG also gives more strength to the embedding vs your overall prompt. I’ve found a lower CFG works better for any embedding on this site.

TEST PROMPT
(I use a system the uses <> for TI triggers, remove those if your UI doesn't utilize that.)

<fenn_jesus>, hyper realistic photograph, portrait of a man, holy, mythological, mythology, highly detailed, photorealism, best quality, 4k, (solar eclipse, outside, dark sky), cinematic lighting, (looking at viewer), shot on Canon, detailed skin, sharp focus, rim lighting, two tone lighting, dimly lit, low key

far away, ugly, low-res, blurry, short hair, bad anatomy, anime, cartoon, 3d render, illustration, disfigured, poorly drawn face, (text, watermark, signature), mutation, mutated, extra limb, ugly, poorly drawn hands, missing limb, floating limbs, disconnected limbs, malformed hands, out of focus, long neck, long body, disgusting, poorly drawn, mutilated, mangled, old, surreal, far away shot, monochrome,

Alena Omovych is a ultra-bimbo Instagram/Onlyfans model from Ukraine.

I highly recommend reduced weight. For example, "(omov1ch:0.9)" works fine in most cases.

I hope someone likes this TI. As always, I will be happy to receive any review or feedback

Mai "Mary" Lee is an OC character: a mixed Chinese American young woman, with heavy influencer vibes.

Generated with an amalgamation of models and various references. Created for my own use in transformation captions and morphs, I'm making the embedding available for others to play with.

Faustine Bollaert French journalist and presenter
Trigger Words "FaustineBV1"
I accept all constructive criticism

Trigger word : lilawest

Dexter Series #4

Lila

Thank you for visiting my post <3 Please leave review images for feedback

Sterre Koning is a Dutch singer and actress

Used model: CyberRealistic V1.3

Stefania Liberakakis is a Greek-Dutch singer, voice actress and YouTuber.

Used model: CyberRealistic V1.3

Trigger word : sstark

GOT Series #3

Sansa Stark

Thank you for visiting my post <3 Please leave review images for feedback

By request! You could also just use "Caity Lotz" as a prompt in most models but this is a little more character specific.

All of my embeddings are trained with v1-5-pruned-emaonly with the vae-ft-mse-840000-ema-pruned.vae.pt VAE

Images use the consistentFactor_v3Light model.

This is an embedding of my character from the Korean game Lost Ark. She works best in anime and semi realistic models. A decent amount of her training images used rabbit ears so it might be necessary to put that in the negative if you don't like them. She also has a tendency of generating with white highlights in her hair, so white hair in the negative can also be helpful.

Triggers: gunslinger, red hair, red eyes, ponytail

negatives: white hair

This one is a bit tricky on the sample images. I'm using img2img with unrelated color images set to .89 Denoising strength in order to force color results. 90% of the training images are good quality screenshots from the show in black and white.

All of my embeddings are trained with v1-5-pruned-emaonly with the vae-ft-mse-840000-ema-pruned.vae.pt VAE

Images use the consistentFactor_v3Light model.

Scarlet is the first in my NBDY series for anyone who wants a consistent character for their renders.

Scarlet is a Nobody, her unique look is a reflection of their individuality and originality, rather than an attempt to mimic someone else. The character's physical traits combined to create a look that is entirely their own, with no clear inspiration from any one person.

Scarlet has pale skin, freckles, thick eyebrows, and red hair but will gladly try out other colors and styles.

To use this embedding with the Automatic1111 web UI, save the downloaded file to /embeddings/nbdy-scarlet-sd15.pt, and then include the trigger word nbdy-scarlet-sd15 in your prompt.

Inspired by Zovya's Nobody series. Be sure to check out other contributions to the Nobody tag.

A request of @Dingo00.

This model currently has 2 versions:

Version 1.1 is step 1000. At first I uploaded it as an "early access" version, but, after extensive testing, I've decided it's by far the best and the most accurate one.

Version 1.0 is step 1850. You can also obtain fantastic results with it, I think, but overall I feel her facial features are not as realistic as in 1.1.

Both versions are quite NSFW, I must warn you, though. So, if you don't want Tera flashing her boobs at the earlist opportunity, you might want to add some negative prompt to that effect. :)

You probably know I haven't done many TIs based on pornstars (actually, only one if I'm not mistaken), but Tera Patrick is a special beauty, so she's an exception. This is not an attempt to capture her late 90s looks, though, since there are not many quality pics of that era online (at least that I could find). The pictures I've used for her dataset are more of the mid 2000s to early 2010s era.

Curious about my work process? I have summarized it here.

Appreciate my work? My TIs are free, but you can always buy me a coffee. :)

A request of @TheEliteChief01.

Lisa Manoban is a Thai singer and dancer, member of the K-pop band Blackpink.

1000-step TI trained on a dataset of 20 images with my usual settings.

Curious about my work process? I have summarized it here.

Appreciate my work? My TIs are free, but you can always buy me a coffee. :)

Trained with v1-5-pruned-emaonly. 1500-step TI trained on a dataset of 23 images.

All of my embeddings are trained with v1-5-pruned-emaonly with the vae-ft-mse-840000-ema-pruned.vae.pt VAE

Images use the consistentFactor_v3Light model.

Trained on several hundred pictures of bongs, waterpipes, bubblers and etc, Bongz can draw a reasonably useful device for your smoking needs

Background:

This Textual Inversion embedding bears a striking resemblance to a famous JAV Actress with world-renowned assets.

Trained using base SD1.5 on 50 high quality 512x512 cropped images of the subject "modeling" with text removed from the images. The embedding is 16 tokens--that seems excessive, but it's the only way I got good results.

I'm very new to this, and I've found that training is, unfortunately, an art, not a science. So, this embedding isn't perfect and has some limitations. Please keep that in mind when you rate!

Note: Remove the ".zip" from the end of the file name and place in the embeddings folder. The default trigger is 1hit1.

Important Points:

• For whatever reason, the embedding works worse for realistic generations and on the base SD1.5 model. Other models and artistic styles produce better results.

• The results get much better with prompt engineering and, especially, lengthy prompts.

• You definitely have to adjust the weight of the trigger word relative to the rest of the prompt.

• Generations of the subject's assets can be prone to distortions, especially when they are exposed. This doesn't occur often, but does happen. I believe this was due to the fact that the extreme size of those assets made it impossible to fit both them and the subject's face in a close-up when cropping to a square image. This seems to be mitigated by using words in the prompt to describe those assets.

• You will need to include words like naked, nude, and topless in the negative prompt to avoid accidental wardrobe malfunctions (we wouldn't want that, now would we?).

• I've found that including open mouth and teeth in the negative prompt improves generations.

• Unless you include strong and specific descriptions of your intended background scenery or setting in your prompts, generations will tend to incorporate the following elements: palm trees, desert plants, brick walls, distant buildings, sunny weather, and the interior of houses. Prompting for background scenery and setting elements seems to mitigate this effect.

• For further tips & tricks, see the PNG info in the sample images. Yes, my prompting style is weird and complicated, but it works, right?

Samples:

These sample generations were done in Galaxy Time Machine Photo for You and Deliberate. The crappier looking ones were made using simple prompts; the better looking ones required extensive prompt engineering. I didn't use HiRes Fix, Face Restoration, ControlNet, Img2Img, Lycoris, or Negative Embeddings on any of these generations. I believe I used model LORAs on a few, but none for concepts or subjects. Your results will probably improve if you use any of those!

Note: The new religious image I uploaded uses a lot of tricks. Oh, also, the one demon picture uses a ton of stuff too. Just showing what it's possible to do with the embedding and some extreme engineering.

PREVIEW

I've been working on Version 2 and had a breakthrough--it was leaps and bounds better than Version 1... but, after playing around with it more, there were some inconsistencies with generation. When it worked, it worked much better, but it was way more difficult to prompt for. Basically, unless you prompted for specific "features" of the subject, they wouldn't show up well.

I'm going to try fixing what I think the issue was (likely captioning) and try training again sometime soon. My hope is that I can produce an embedding that gets results as good as the one below with simpler prompts and more consistency.

A request of @DCl.

Jessica Cediel is a Colombian tv host, journalist and actress.

1000-step TI trained on a dataset of 20 images with my usual settings.

Curious about my work process? I have summarized it here.

Appreciate my work? My TIs are free, but you can always buy me a coffee. :)

Textual inversion of adult film star Romi Rain.

This is a Style which brings out a morbid Widow aesthetic. Simply call Style-Widow_SD2 in your prompt and your female characters will be ready for mourning, Victorian widow's weeds style!

If you'd like the effect to come through stronger (some models need it), try bumping up the emphasis on Style-Widow_SD2 - or adding it into your prompt multiple times.

Please consider joining my Patreon! I have a comprehensive tutorial on how this, and my other popular TI embeddings are created! Happy to share my SD knowledge, through advanced tutorials. Also news, settings explanations, adult-art, from a female content creator (me!) patreon.com/theally

Eiza Gonzalez

Eiza is a Mexican actress and singer. She was Monica "Darling" Castello in Baby Driver and Nyssiana in Alita: Battle Angel

Do you like my work? Buy me a beer!

[ SDv1.4, 4e-03, 5200 steps, v/s .2003 ]

Trigger word : daetrg

GOT Series #2

Daenerys

Thank you for visiting my post <3 Please leave review images for feedback

Robert John Downey Jr. (born April 4, 1965) is an American actor and producer. In 2008, Downey was named by Time magazine among the 100 most influential people in the world, and from 2013 to 2015, he was listed by Forbes as Hollywood's highest-paid actor.

Looking for something... spicy? Here's my Patreon! It will support my work. Also, I recently started a blog where I will gather resources and tutorials about my work here!

Hey Civitai! What you see here is a textual inversion of one of my favorite actors: Robert Downey Jr! I used 40 public images of him with an 8900 steps process. To use it in your works:

• download the file and place it into stable-diffusion-webui>embeddings folder;

• add robdowney65 to your prompt;

• keep the sampling steps around 20/30, and CFG between 7 and 7.5 to work well. Great results with DPM++ SDE Karras & Edge Of Realism;

Scarlitt Scandal

In my triumphant return to contributions you can't share with your kids, I present to you Scarlitt Scandal. Scarlitt is a magnificent American actress who has appeared in many adult films too racy to name here. You may be able to find her using your Google machine, however, so happy hunting.

Do you like my work? Buy me a beer!

[ SD v1.4, 4e-03, 4600, .202 ]

This is a model that creates shapes and images based on the artwork of Ellsworth Kelly. Very abstract. Simple shapes. Bold colors. Simple lines.

Trained on some fruit slice images

All of my embeddings are trained with v1-5-pruned-emaonly with the vae-ft-mse-840000-ema-pruned.vae.pt VAE

Images use the realisticVisionV20_v20 model

Second, and a bit better, attempt at a textual inversion of Youtube personality Baliey Sarien. SD doesn't seem to do too well with tattoos, so they will not be accurate.

这个ti+lora 的组合是我很久之前的工作了，现在看来依然好用。当然，你也可以只用我的ti，而使用别人的lora。

This ti+lora set is something I worked a long time ago, and it still works well.Of course, you could just use my ti and use someone else's lora.

Model

同时使用ti和lora你能在绝大部分模型中都得到不错的效果。

Using ti and lora together you can get good results in most models.

Why ti+lora?

ti和lora一起用能在照片基础的模型上工作的更好，而且不用写一大堆tag。

有时候你不能加太多人物lora的权重，就需要人物ti来补充人物特征。

Use both TI and Lora works very well with photrealistic models,and you don't neet to write a lot of tags.

Sometimes you can't add too much weight to the character lora, so you need character ti to complement the character characteristics.

example:

Realistic:

1girl,(weihua:1.0), <lora:Mika_Misono_Lora:0.65>, (ulzzang-6500:0.3)

normal:

1girl,(weihua:1.0), <lora:Mika_Misono_Lora:0.65>

Vanessa Morgan

Vanessa is a gorgeous Canadian actress known for her role as Toni Topaz in Riverdale.

Do you like my work? Buy me a beer!

[ SDv1.4, 4e-03, 5600, v/s .203 ]

Skai Jackson

Skai is an American actress who was included in Time's list of Most Influential Teens in 2016. She did a bunch of Marvel work and was even in Dancing with the Stars.

Do you like my work? Buy me a beer!

[ SDv1.4, 4e-03, 4800, v/s .202 ]

Riele Downs

Riele is a Canadian actress and dancer who starred in a few Nickelodeon specials many years ago.

Do you like my work? Buy me a beer!

[ SDv1.4, 4e-03, 5800, v/s .202 ]

Madison Pettis

Madison is a stunning American actress who starred in...(checks notes)...Beverly Hills Chihuahua 2. And 3. Oh well, she's very pretty.

Do you like my work? Buy me a beer!

[ SDv1.4, 4e-03, 3800, v/s .200 ]

Lauren McClain

Lauren is a supremely talented American actress and singer, in a group with her sisters. How sweet.

Do you like my work? Buy me a beer!

[ SDv1.4, 4e-03, 4000, v/s .202 ]

Daphne Blunt

Daphne is a beautiful American actress who happens to ahare a birthday with yours truly. She was in Penny Arcade!

Do you like my work? Buy me a beer!

[ SDv1.4, 4e-03, 3200, v/s .198 ]

Daniella Perkins

Daniella is a beautiful American actress and YouTube star. She currently stars in Grown-ish and appeared as a voice actress in SpongeBob SquarePants!

Do you like my work? Buy me a beer!

[ SDv1.4, 4e-03, 3800, v/s .199 ]

Ajiona Alexus

Ajiona is a gorgeous American actress and was amazing in Empire.

Do you like my work? Buy me a beer!

[ SDv1.4, 4e-03, 5400, v/s .202 ]

Olivia Wilde

Olivia is a marvelous America actress, best known for her work in the American television series House. She is now directing films and doing quite well.

Do you like my work? Buy me a beer!

[ SDv1.4, 4e-03, 5600 steps, v/2 .201 ]

This person does not exist!

A TI created by merging two of my existing real celeb TIs together. The results were so consistent and her look so interesting I felt I had to share.

Even the name came from a random name generator!

Trigger word : rita00bennet

Dexter Series #3

Rita

Thank you for visiting my post <3 Please leave review images for feedback

Trigger word : mmax00

My First Style Embedding

Thank you for visiting my post <3 Please leave review images for feedback

bad hand

Trigger word : dextermorgan

Dexter Series #2

Dexter

Thank you for visiting my post <3 Please leave review images for feedback

Trained with v1-5-pruned-emaonly. Checkpoint for sample images was consistentFactor_v3Light using ControlNet for posing.

Elizabeth Debicki is an actress known for Man from U.N.C.L.E., Tenet, The Crown, and Guardians of the Galaxy.

Note: I accidentally pulled the previous version of this embedding. This is a new version (in fact probably the 4th version) I have been working on while testing different training methods. I also completely redid the source images!

Trained on the Topps Mars Attacks artwork

A Dark fantasy style embedding i made using 24 images to train. Turned out pretty good, and you get results just by using the embedding. No trigger words. Also adding things like: scenery, forest, nature, snow, outdoors, glowing, tree, water, ruins, dark, gives some pretty good results.

The embedding is good for just making sceneries, but works really well with characters. You will kinda get a blend of dark fantasy + your prompt. Have tested it on different models and it works really well on most of them.

Works great with:

CFG Scale: 7-9

Sampling Steps: 20-30

A textual inversion of the Fox News reporter Katie Pavlich.

Trained on the artwork of the children's book "You will go to the moon".

Appreciate my work? Can you buy me a coffe please :)

Marilyn Monroe: born as Norma Jeane Mortenson; Los Angeles, June 1, 1926-Los Angeles, August 4, 1962) was an American actress, singer, and model. Famous for playing "blonde bombshell" comedic personas, she became one of the most popular sex symbols of the 1950s and early 1960s, as well as an emblem of the sexual revolution of the time. one of the most sought-after actresses for a decade, and her films grossed $200 million (equivalent to $2 billion in 2021) by the time of her death in 1962.6 Long after her passing, Monroe remains a major cultural icon pop.7 In 1999, the American Film Institute ranked her sixth on its list of the greatest female film legends of Hollywood's Golden Age.8 Various film critics and the media have cited Monroe as one of the best actors who never received an Oscar nomination.

Used model: Realistic Vision v1,3

recommended parameters:

Prompt:

RAW photo, a close up portrait photo of 26 y.o woman in wastelander clothes, long haircut, pale skin, slim body, background is city ruins, (high detailed skin:1.2), 8k uhd, dslr, soft lighting, high quality, film grain, Fujifilm XT3

Negative Prompt:
(deformed iris, deformed pupils, semi-realistic, cgi, 3d, render, sketch, cartoon, drawing, anime:1.4), text, close up, cropped, out of frame, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck

DPM++ 2S a Karras with 25 steps
CFG Scale 7

QR to my page buymeacoffee

A negative prompt embedding for Deliberate V2. Use in your negative prompt to make the image look better. Do not use as a regular prompt.

Trained on the bad image dataset from here:

https://civitai.com/models/17083?modelVersionId=20387

A tribute to our regional grocery chain's mascot - Schnucks makes little dudes in the style of the Schnucks' Soldier mascot.

Trigger word : debramorgan

Dexter Series #1

Debra

Thank you for visiting my post <3 Please leave review images for feedback

trained on AI art of reddit user onche_ondulay

A request of @TheEliteChief01.

Lexi Rivera is an American Youtuber and social media personality.

1850-step TI trained on a dataset of 20 images (most of them provided by @TheEliteChief01) with my usual settings (reducing the learning rate to 0.002 after step 1000).

Curious about my work process? I have summarized it here.

Appreciate my work? My TIs are free, but you can always buy me a coffee. :)

Stable Diffusion is finally old enough to learn about weed. This embedding might be a bit over-baked but it's still up for a good time

This is a Style which brings out a beautiful bridal aesthetic. Simply call Style-Bridal_SD2 in your prompt and your female characters will be ready for their wedding day!

If you'd like the effect to come through stronger (some models need it), try bumping up the emphasis on Style-Bridal_SD2 - or adding it into your prompt multiple times.

Please consider joining my Patreon! Advanced SD tutorials, settings explanations, adult-art, from a female content creator (me!) patreon.com/theally

This model was trained off a few variations of Robert Motherwell's Elegy to the Spanish Republic Series. It can create variations of the Elegy to the Spanish Republic style in img2img. It mostly does a great job of creating abstract art when using it in txt2img, along with ControlNet. You really need to give the model a base on which to work. The model was created for Stable Diffusion 2.1.

Scarlett Ingrid Johansson (born November 22, 1984) is an American actress. The world's highest-paid actress in 2018 and 2019, she has been featured multiple times on the Forbes Celebrity 100 list. Time named her one of the 100 most influential people in the world in 2021. Her films have grossed over $14.3 billion worldwide, making Johansson the highest-grossing box office star of all time.

Looking for something... spicy? Here's my Patreon! It will support my work. Also, I recently started a blog where I will gather resources and tutorials about my work here!

Hey, nice people! So happy to present this one! Today I have for you a textual inversion of Scarlett Johansson! I used 40 public images of her with a 9000 steps process. To use it in your works:

• download the file and place it into stable-diffusion-webui>embeddings folder;

• add scajohansson84 to your prompt;

• keep the sampling steps around 20/30, and CFG between 7 and 8 to work well. Great results with DPM++ SDE Karras & Edge Of Realism;

As a big "Thank You" to @Clarq for creating Pixie AKA Nadia, I thought I'd create a TI of her friend and very frequent 'sparring partner' Natasha Vale.

For those unfamiliar with her, she was a major British glamour model and occasional pornstar of the late 90s / early 00s. Also worked as a lapdancer, TV presenter on Granada Men & Motors (usually when the assignment required the presenter to remove clothing!) and personal trainer.

Emb can replicate every detail of the object, including its body, teeth, cup size and everything else, something that Lora is incapable of doing.

Compared to Emb, Lora can only be considered a 'sophisticated wax figure.'

Don't assume that Lora, with its hundreds of MB, is necessarily better than Emb just because Emb only has a few KB (I used to think so too).

In fact, it's the opposite: Lora is not suitable for replicating objects, as the technical documentation states that Lora has a 'valley of terror' effect when it comes to facial reconstruction, meaning that the result looks more like a wax figure than a real person.

Lora is only suitable for low-end computer training and clickbait production shearing the sheep, where high traffic does not necessarily translate into high quality. It's like the difference between a shallow celebrity and a respected seasoned performer;

True high-quality models require Emb. Early computers were the size of houses, but now chips are much smaller - size doesn't always equate to quality.

The preview images are all REAL, single-generated images, and there is no 'monkey play' image that has been inpainting a second time.

The full body facial image is a bit troublesome (generated at once, not partially redrawn). I don't know if it is a defect of sd1.4. My intuition is that sd1.4 is superior to sd1.5 in restoring faces at close and medium distances, but at long distances, 1.5 is better than 1.4. Next, I will make a version based on 1.5 training to verify it.

emb可以把对象的一切细节都复刻下来，身体、牙齿、罩杯，一切，这是lora无法做到的。目标左边门牙比右边门牙略短这个细节emb都能捕捉到。

lora相比emb最多只能算是【精致的蜡像娃娃】。

不要因为emb只有几kb,而Lora有上百Mb就先入为主的觉得lora一定比emb牛逼（我早期也这么想），事实上恰恰相反，lora根本不适合复刻还原物品（原技术文档写明了lora在人脸还原上有一种“似像非像”的“恐怖谷效应”，大白话就是：如同人物的蜡像）。

lora只适合低配置电脑体验训练和营销号快速出图割韭菜罢了，流量大不代表品质高，只代表门槛低，如同流量明星和老戏骨的差距，真正的高上限精品模型还得是emb。

早期的计算机有房子那么大，现在的芯片才多大？尺寸大小不等于品质的大小

预览图没有“二次重绘”的“猴戏图”，都是真实的一次生成图，好的坏的都看的到。

Anna Nyström is a Swedish fitness model and blogger. She has gotten a massive following on Instagram where she has around 8.3 million Followers

I highly recommend reduced weight. For example, "(annystr:0.9)" works fine in most cases.

I hope someone likes this TI. As always, I will be happy to receive any review or feedback

Karen Sheila Gillan (born 28 November 1987) is a Scottish actress. She gained recognition for her work in British film and television, particularly for playing Amy Pond, a primary companion to the Eleventh Doctor in the science fiction series Doctor Who (2010–2013), for which she received several awards and nominations.

If you like my work, a review is more than welcome! Also, follow me on Twitter or Instagram!

Looking for something... spicy? Here's my Patreon!

Also, I recently started a blog where I will gather resources and tutorials about my work here!

Hey, people of Civitai! I was off for a some days but here I am! Today I have a textual inversion of the lovely Karen Gillan! Hope you'll like her ;) I used 30 public images of her with a 6700 steps process. To use it in your works:

• download the file and place it into stable-diffusion-webui>embeddings folder;

• add kargillan87 to your prompt;

• keep the sampling steps around 20/25, and CFG between 7 and 8 to work well. Great results with DPM++ SDE Karras & Realistic Vision;

New version is now available and visible: https://civitai.com/models/28913/lorraine-baines

edit: incredible. they deleted every single image in this post.

Laura Vandervoort

Laura is a Canadian actress, eh, who played Supergirl in Smallville.

Do you like my work? Buy me a beer!

[ SDv1.4, 4e-04, 6600, v/s .1996 ]

Isabel Lucas

Isabel is an Australian actress likely best known for being in Transformers: Revenge of the Fallen. Never seen it.

Do you like my work? Buy me a beer!

[ SDv1.4, 4e-04, 5800, v/s .199 ]

A request of @hs244.

Kristen Stewart is an American actress, mainly known for her role in the Twilight saga.

1500-step TI trained on a dataset of 19 images with my usual settings (reducing the learning rate to 0.001 after step 1000).

Curious about my work process? I have summarized it here.

Appreciate my work? My TIs are free, but you can always buy me a coffee. :)

Amber Heard, famous Hollywood actress. With the departure of AICelebArt, I hope this will suffice.

The embed has been trained on SD 1.5 and works well on most 1.5 based models. Has a tendency to create monotone backgrounds on a few models, inpainting or strong prompting should solve this.

If you enjoy my creations, consider supporting me on Ko-Fi, it'd be much appreciated!

Laura Lux is an Australian Instagram model living in Texas. She also goes by the handle 'Very Big Milktank' and honestly I have no clue why.

The embed has been trained on SD 1.5 and works well on most 1.5 based models. When rendering full body images I recommend using inpainting. She has a lot of tattoos and this can mess up results, but this can be mended with inpainting. For those of us less charmed by tattoos, v1.1 is now available. It produces tattoos much less often than v1.0 even without any negative input on tattoos, but I still recommend adding "tattoo, tattoos, tattood" in the negative prompts.

If you enjoy my creations, you could consider supporting me on Ko-Fi, it'd be much appreciated.

Model

同时使用ti和lora你能在绝大部分模型中都得到不错的效果。

Using ti and lora together you can get good results in most models.

Why ti+lora?

ti和lora一起用能在照片基础的模型上工作的更好，而且不用写一大堆tag。

有时候你不能加太多人物lora的权重，就需要人物ti来补充人物特征。

Use both TI and Lora works very well with photrealistic models,and you don't neet to write a lot of tags.

Sometimes you can't add too much weight to the character lora, so you need character ti to complement the character characteristics.

lora+tags:

ti+lora:

Use lora block weight to limit lora

Problems:

树王的图好少！由于图不足，当初训练的时候ti只给了12个向量，现在会有不小的概率生成出四只耳朵或者两根辫子，或者叶子头饰的位置不对。

Rukkhadevata's picture is so few! Due to a lack of graphics,I trained ti I only use 12 vectors.Sometimes well give four ears or two braids, or a leaf ornaments in the wrong place.

Emb can replicate every detail of the object, including its body, teeth, cup size and everything else, something that Lora is incapable of doing.

Compared to Emb, Lora can only be considered a 'sophisticated wax figure.'

Don't assume that Lora, with its hundreds of MB, is necessarily better than Emb just because Emb only has a few KB (I used to think so too).

In fact, it's the opposite: Lora is not suitable for replicating objects, as the technical documentation states that Lora has a 'valley of terror' effect when it comes to facial reconstruction, meaning that the result looks more like a wax figure than a real person.

Lora is only suitable for low-end computer training and clickbait production shearing the sheep, where high traffic does not necessarily translate into high quality. It's like the difference between a shallow celebrity and a respected seasoned performer;

True high-quality models require Emb. Early computers were the size of houses, but now chips are much smaller - size doesn't always equate to quality.

The preview images are all REAL, single-generated images, and there is no 'monkey play' image that has been inpainting a second time.

The full body facial image is a bit troublesome (generated at once, not partially redrawn). I don't know if it is a defect of sd1.4. My intuition is that sd1.4 is superior to sd1.5 in restoring faces at close and medium distances, but at long distances, 1.5 is better than 1.4. Next, I will make a version based on 1.5 training to verify it.

emb可以把对象的一切细节都复刻下来，身体、牙齿、罩杯，一切，这是lora无法做到的。目标左边门牙比右边门牙略短这个细节emb都能捕捉到。

lora相比emb最多只能算是【精致的蜡像娃娃】。

不要因为emb只有几kb,而Lora有上百Mb就先入为主的觉得lora一定比emb牛逼（我早期也这么想），事实上恰恰相反，lora根本不适合复刻还原物品（原技术文档写明了lora在人脸还原上有一种“似像非像”的“恐怖谷效应”，大白话就是：如同人物的蜡像）。

lora只适合低配置电脑体验训练和营销号快速出图割韭菜罢了，流量大不代表品质高，只代表门槛低，如同流量明星和老戏骨的差距，真正的高上限精品模型还得是emb。

早期的计算机有房子那么大，现在的芯片才多大？尺寸大小不等于品质的大小

预览图没有“二次重绘”的“猴戏图”，都是真实的一次生成图，好的坏的都看的到。

全身照的脸部有点麻烦（一次生成，不局部重绘），不晓得是不是sd1.4的缺陷，我直觉sd1.4比sd1.5在中近距离的人脸还原牛逼，但远距离的话1.5比1.4要更好，接下来我会弄一个基于1.5的训练的验证一下

A request of @tkpw.

Candice Swanepoel is a South African supermodel, selected by the Maxim magazine as the sexiest woman in the world in 2014.

1500-step TI trained on a dataset of 20 images with my usual settings (reducing the learning rate to 0.001 after step 1000).

Curious about my work process? I have summarized it here.

Appreciate my work? My TIs are free, but you can always buy me a coffee. :)

An attempt to create a textual inversion of ghost hunter Katrina Weidman. Works well with most SD models. To clean up faces, inpaint the face area with prompt "KWeid69 face".

Optimize some edges and facial imperfections to make the image more enjoyable

Relive the days curling up with a chapter book after school with this embedding trained on a batch of images reminiscent of your favorite Beverly Cleary and Judy Blume Books

Keilah Kang Killian is a model, brand ambassador, and Instagram personality that lives in North Carolina.

During the tests, the TI proved to be very good, very flexible and "obedient". But I highly recommend reduced weight. For example, "(kel1ah:0.9)" works fine in most cases.

And please add "child, childish" to your negative prompt.

I hope someone likes this TI. As always, I will be happy to receive any review or feedback

Update 1:

Added a 18 vector per token version for better fidelity with certain models. One isn't necessarily better than the other. They are different. PxiBel2 will not (in general) generate a better or more detailed version of images made with PxiBel. It will create a different image.

It should generate a better likeness for checkpoints that weren't workinfg so well before. With both, it should be possible to get good results with most checkpoints. (Dreamlike Photoreal 2.0, Analog Diffusion 1.0 don't work well with either)

Description:

Turn of the century Euro Model porn star Pixie Belle, AKANadia, aka a few other stage names.

Does well with a weight of 1.1 {e.g. (PxiBel:1.1) in Automatic1111 if you're new} but this depends on the checkpoint. Tested against 39 checkpoints with good results from 37 on weights between 0.7 and 1.2. Be aware that does well is fairly consistently generating a good likeness without a huge amount of retrying. After a number of training attempts by different methods or with different data, it feels like there are elements to her face Stable Diffusion doesn't want to recognize. Again, results will vary by model. Many of the more popular checkpoints tested tend to try to genericize her face. Weights between 1.1 and 1.2 help here.

Trained on prepared, hand curated, SFW images but she was a porn star and the training set reflects that. NSFW checkpoints tend to want to have her shirt off more often than not. Average vector strength: 0.063 and average vector magnitude: 0.7695 so it should(?) be pretty flexible

My first "model" of any kind that seems ready for the public. Be gentle.

Caitlyn Mwenifumbo is an American model and social media celebrity.

Update: Retrained from scratch, using the same dataset but without upscaling the pictures. 1000-step TI, trained with my usual settings.

Curious about my work process? I have summarized it here.

Appreciate my work? My TIs are free, but you can always buy me a coffee. :)

Bar Refaeli is an Israeli model, tv host and actress.

1500-step TI trained on a dataset of 20 images, with my usual settings (reducing the learning rate to 0.001 after step 1000).

Curious about my work process? I have summarized it here.

Appreciate my work? My TIs are free, but you can always buy me a coffee. :)

This is a Style embedding which turns everything in your image towards an Ancient Egyptian style! Think Pyramids, the river Nile, and Pharaohs! Simply throw Style-Hamunaptra_SD2 on to the end of your prompt (or the start, if the effect doesn't come through strong enough), and bam! - your picture is now Ancient Egypt-ified - it's as easy as that.

+10 internet points for getting the name reference.

This is an SD2.x version of my SD 1.5 Hamunaptra Style.

You can combine this embedding with other embeddings!

Please consider joining my Patreon! Advanced SD tutorials, settings explanations, adult-art, from a female content creator (me!) patreon.com/theally

Character: Nishizono Mio 西園 美魚 from game/anime Little Busters!

A request of @neven.

Anna Louise is a model, Youtuber and social media personality.

1500-step trained on a dataset of 20 images with my usual settings. I did reduce the learning rate after step 1000 to 0.001, though.

Curious about my work process? I have summarized it here.

Appreciate my work? My TIs are free, but you can always buy me a coffee. :)

Character: Kamikita Komari 神北 小毬 from game/anime Littile Busters!

Character: Hoshino Yumemi ほしのゆめみ from visual novel/anime Planetarian

Character: Fujikawa Mia 藤川 みあ from game Loopers

Appreciate my work? Can you buy me a coffe please :)

Kate Beckinsale: Kathrin Romany Beckinsale 2​3​ was born in Chiswick, London, England. She is the only child of actor Richard Beckinsale and actress Judy Loe.4 Her father was of Burmese descent.5 She made her first television appearance at the age of four, in an episode of This is Your Life dedicated to her father.5 When he was five years old, his 31-year-old father died suddenly of a heart attack. Beckinsale was deeply traumatized by the loss and "began to expect bad things to happen". While she has seen her father "more on television than in life", "there are certainly enough memories, not to feel like it's someone I didn't know." 4 His widowed mother moved to live with director Roy Battersby when Beckinsale was nine years old and he grew up with their four sons and daughter. 7 He has a close relationship with his stepfather: "there could not be a better point ...he wasn't aggressive, so he let me come to him." Beckinsale has a paternal half-sister, actress Samantha Beckinsale, but they have not had regular contact.

Used model: Realistic Vision v1,3

recommended parameters:

Prompt:

RAW photo, a close up portrait photo of 26 y.o woman in wastelander clothes, long haircut, pale skin, slim body, background is city ruins, (high detailed skin:1.2), 8k uhd, dslr, soft lighting, high quality, film grain, Fujifilm XT3

Negative Prompt:
(deformed iris, deformed pupils, semi-realistic, cgi, 3d, render, sketch, cartoon, drawing, anime:1.4), text, close up, cropped, out of frame, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck

DPM++ 2S a Karras with 25 steps
CFG Scale 7

QR to my page buymeacoffee

Hide

"Selective focus is a method in which the focus is narrowed down to the focal point while leaving all other elements in the frame out-of-focus."

...on close ups it can produce detailed, very nice high-res, sharp focus areas! (if you experience "over-sharpened" parts: use negative prompts to eliminate them - check my sample images!)

...for some reason it has an asian tendency...

This style will do great if you want to make fantasy buildings in the style of "Lord of the rings", "Harry Potter" and "The Hobbit" movies.

Works well will simple prompts, but also advanced. List of example prompts in version description. Learning data is also attached.

Examples speak for themselves, please share how you used the style.

I've been sleeping on SD2.1 for too long! There are some FANTASTIC 2.1 models out now, so I feel like it's time for me to port some of my popular TI's over, and wew, do they look good!

This is a Style embedding which turns your image subjects into bonafide Princesses! Think pearls, tiaras, and ballgowns! Simply throw Style-Princess_SD2 on to the end of your prompt (or the start, if the effect doesn't come through strong enough), and bam! - your subject is now a princess - it's as easy as that.

Here's my original 1.5 version.

You can combine this embedding with other embeddings!

Please consider joining my Patreon! Advanced SD tutorials (I show you how I made this!), settings explanations, adult-art, from a female content creator (me!) patreon.com/theally

Tired of getting terrible stick generations? Too many branches, not enough branches. With this embedding, get perfect sticks every time.*
!!!NOMINATED MODEL OF THE YEAR!!!



*not really.
This is hard work, please buy me a beer. Here at Ko-Fi

A request of @TheEliteChief01.

Britney Spears is an American singer, commonly known as the Princess of Pop.

1000-step TI trained on a dataset of 20 images with my usual settings.

Curious about my work process? I have summarized it here.

Appreciate my work? My TIs are free, but you can always buy me a coffee. :)

(I also want to thank @fredpenner for sharing his excellent brown coat portrait prompt.)

Appreciate my work? Can you buy me a coffe please :)

Eva longoria: Eva Jacqueline Longoria was born in Corpus Christi, Nueces County, Texas, the daughter of Enrique Longoria and Eva Mireles. He is of Mexican and Spanish descent (specifically from Asturias,2​3​4​ where his last name comes from). She was raised Catholic, American-style.5 She did not speak Spanish growing up and did not learn the language until 2009.6 Longoria is the youngest of four daughters, her sisters being Elizabeth Judina, Emily Jeannette, and Esmeralda Josephina.7 Longoria originally wanted to be a runway model and sent photos of her to a modeling agency, but she was rejected due to her short stature. Longoria attended Marvin P. Baker Middle School and later Roy Miller High School, where she later received her Bachelor of Science degree in Kinesiology from Texas A&M University-Kingsville. During this time, she won the title of Miss Corpus Christi in 1998. After finishing college, a talent show brought her to Los Angeles, California. Soon after, she was discovered and signed a contract with a theatrical agent.

Used model: Realistic Vision v1,3

recommended parameters:

Prompt:

RAW photo, a close up portrait photo of 26 y.o woman in wastelander clothes, long haircut, pale skin, slim body, background is city ruins, (high detailed skin:1.2), 8k uhd, dslr, soft lighting, high quality, film grain, Fujifilm XT3

Negative Prompt:
(deformed iris, deformed pupils, semi-realistic, cgi, 3d, render, sketch, cartoon, drawing, anime:1.4), text, close up, cropped, out of frame, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck

 DPM++ 2S a Karras with 25 steps
CFG Scale 7

QR to my page buymeacoffee

Michelle Monaghan is an American actress, known for her roles in the Mission Impossible films, among many others.

2500-step TI trained on a dataset of 20 images. Since I'm training my embeddings for more steps lately, I've slightly changed my usual settings. I now train at a rate of 0.004 normally until step 1000 or thereabouts, then drop it to either 0.002 or 0.001 for the rest of the training process.

Curious about my work process? I have summarized it here.

Appreciate my work? My TIs are free, but you can always buy me a coffee. :)

Jennifer Connelly is an American actress.

Note: This TI has been updated! Refer to the "About this version" section for more info.

I recommend running the new version at a reduced weight. For instance, type "(jenn1f1850:0.99)" in your prompt.

The images I picked for this embedding are from Jennifer's "Career Opportunities" era. That is, early 90s, a time in which she was probably the most beautiful woman to walk on Earth.

Curious about my work process? I have summarized it here.

Appreciate my work? My TIs are free, but you can always buy me a coffee. :)

Character: Kanbe Kotori 神戸 小鳥 from game (or anime) Rewrite

My first embedding and attempt at recreating the nsfw artists "Calm" art. Trained with 40 images.

Using prompts like 1girl, 1boy, pointy ears, elf, colored skin usually gives the best results. For now its more or less "hit or miss". I intend on improving the embedding further. You will notice that you mostly get elf girls, which most of the training pictures consisted of.

There really is no exact trigger word, just using the embedding works for me at least. I have tested the embedding on anyhentai, MeinaHentai, revAnimated, Cetusmix, AOM3, and on everyone i got some pretty good results. So i can safely say that it works on most models.

Alot of the images i used for training contained watermarks, so you should add on the negative prompt: watermark, signature, patreon username, patreon logo,

Example images were created with very simple prompts. Some of them i used inpainting on to remove the logos and watermarks. Some i fixed the faces on. Did very little inpainting tho.

Settings that worked best for me:

Sampling Method: Euler A

Sampling steps: 20-25

CFG Scale: 5-7

Hires.fix: upscale by: 1.5x -- Hires steps: 10 -- Denoising strength: 0.3

Would love to see your creations :)

Izabela Izycka, Instagram @izzycka, is a model and social media influencer from Warsaw, Poland.

My attempt to make a good TI for this actress

Appreciate my work? Can you buy me a coffe please :)

Jennifer Lopez: Her interest in becoming famous arose from having a supporting role in the movie My Little Girl. In 1991, she got her first job as a dancer and in 1993 she decided to pursue acting. She got her first leading role in the movie Selena, with which she earned over a million dollars and was also nominated for a Golden Globe as best actress. She also starred in the first installment of the film series Anaconda (1997). The following year, with the movie Out of Sight (1998), she managed to collect two million dollars2 and also gave one of the best performances of her career. In 1999, she debuted as a singer with her single If You Had My Love which was number one on the Billboard Hot 100 and with her album On the 6 (1999), enjoying great success in the international market.

Used model: Realistic Vision v1,3

recommended parameters:

Prompt:

RAW photo, a close up portrait photo of 26 y.o woman in wastelander clothes, long haircut, pale skin, slim body, background is city ruins, (high detailed skin:1.2), 8k uhd, dslr, soft lighting, high quality, film grain, Fujifilm XT3

Negative Prompt:
(deformed iris, deformed pupils, semi-realistic, cgi, 3d, render, sketch, cartoon, drawing, anime:1.4), text, close up, cropped, out of frame, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck

Euler A or DPM++ 2S a Karras with 25 steps
CFG Scale 7

QR to my page buymeacoffee

A request of @bunnie666.

Summer Glau is an American actress, mainly known for her roles in Firefly and Terminator.

2000-step TI trained on a dataset of 20 images with my usual settings.

Curious about my work process? I have summarized it here.

Appreciate my work? My TIs are free, but you can always buy me a coffee. :)

Trigger word : alicentht

Vesper

Thank you for visiting my post <3 Please leave review images for feedback

HannahOWO aka NotAestheticallyHannah is a Twitch streamer, Onlyfans model and TikTok celeb.

Created this before realizing there's already a solid looking LORA model published by Shurik. Consider this an alternative take, with more focus on face shape and less on details like piercings! 😅

Emilia Clarke is a British actress who played Daenerys Targaryen in Game of Thrones and received several awards and nominations for her role.

I trained the embedding on a dataset of 25 images.

This is my first upload, but I plan to upload more embeddings in the future. Let me know if you have any suggestions.

Use the trigger word dld_emclarke.

MY FRIEND ITS ENOUGH

v2 better details, less artifacts

v1 OG

A request of @Dingo00.

Pamela Anderson is an Canadian-American actress and model, known for her role in Baywatch, among others.

Note: This TI has been updated! Please check the "About this version" section for more info. The new version should look more like Pam in the 2000s.

Curious about my work process? I have summarized it here.

Appreciate my work? My TIs are free, but you can always buy me a coffee. :)

Ashley Tervort, a popular OnlyFans model a couple of years ago, was notable for her big "eyes". Now retired or something.

To train the model, I chose a photo from her prime year, when she gained maximum weight.

Make sure you dress her up well before generating pictures, like all OnlyFans girls, she loves to show off her charms.

I hope someone likes this TI. I'm still just learning and practicing, so please don't judge me too hard)

I recommend reduced weight. For example, "(ashterv:0.95)" works fine in most cases for version 2

Alica Schmidt, is a German runner, athlete, model, personal trainer. She does not have outstanding sports achievements, but she is very popular due to her appearance and beauty.

I hope someone likes this TI. As always, I will be happy to receive a review or feedback

这个模型是由Bilibili作者：青草葫
制作的同人角色模型，由于我实在是太喜欢亚托莉了，所以我决定将它分享到这。
请注意：SFW! 不准色色！谁敢对亚托莉涩涩鸡儿打断！
——————
This model is made by Bilibili author: 青草葫

I decided to share it here because I really like ATRI too much.

Please note: SFW! No coloring allowed! Who dares to interrupt to Atori shibari chicken!
——————
请注意，此模型并不稳定，演示图片使用了“anything-4.5”作为主模型。Vae:kl-f8-anime2。Hires upscale: 2, Hires upscaler: R-ESRGAN 4x+ Anime6B。或许模型更加适合使用“wintermoonmix”作为主模型，因为原作者在使用它。
——————
Please note that this model is not stable, the demo image uses "anything-4.5" as the main model. vae:kl-f8-anime2. Hires upscale: 2, Hires upscaler: R-ESRGAN 4x+ Anime6B.perhaps the model is better suited to use "wintermoonmix" as the main model. as the main model, because the original author is using it.

演示图片存在一定的手部细节问题，那只是因为我没有去修复它，我认为演示嵌入模型不需要那么做。

如果你创造出了更加好看的亚托莉，请发在评论区，或者私信我的bilibili账号：鱼凡很烦
——————
The demo image has some hand detail issues, and that's only because I didn't bother to fix it, I don't think the demo embedded model needs that.

If you create a better looking , please post it in the comments section, or private message my bilibili account: 鱼凡很烦

这是一个未经原作者许可发布的资源（因为它是免费共享资源），如果作者需要，请向我申请资源转移。

Andrea Christine is a swimsuit and Instagram model.

Appreciate my work? Can you buy me a coffe please :)

Eiza González: Eiza González Reyna is a Mexican actress and singer, born in Caborca, Sonora, Mexico, on January 30, 1990. The daughter of Glenda Reyna, a former model, and Carlos, Eiza studied at the Edron academies and at the American School Foundation, from Mexico City. Her childhood would not be easy, her father died when she was 12 years old in a motorcycle accident and she was diagnosed with attention deficit hyperactivity disorder. Her performance focused on her hyperactivity and she, when she was 14 years old, she was accepted to the CEA, from Televisa. She spent two years there, of the three planned, before being chosen as the protagonist of a new youth telenovela, Lola, érase una vez (2007), which became a phenomenon of popularity in Mexico and Latin America and led to the little actress and singer to the height of fame.

Used model: Realistic Vision v1,3

recommended parameters:

Prompt:

RAW photo, a close up portrait photo of 26 y.o woman in wastelander clothes, long haircut, pale skin, slim body, background is city ruins, (high detailed skin:1.2), 8k uhd, dslr, soft lighting, high quality, film grain, Fujifilm XT3

Negative Prompt:
(deformed iris, deformed pupils, semi-realistic, cgi, 3d, render, sketch, cartoon, drawing, anime:1.4), text, close up, cropped, out of frame, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck

Euler A or DPM++ 2M Karras with 25 steps
CFG Scale 7

QR to my page buymeacoffee or direct link to my post

Hide

My first TI, based on gorgeous pinup model Denise Milani. Any tips on how to improve would be highly appreciated!

When I was in a prompt competition last year, I got a ver good sequence to get beautiful illustrations. My prompt is lost, so I create this embedding. If you wanna test it, you can put this word on the prompt: trInkdBer .

PS: The test images was made with 'vainilla' SD 1.5 model. I don't know if works on SD 2.1 .

Olivia Claudia Motta Casta, an Instagram model known to be fake, the owner uses CGI on herself. In real she is a middle aged women who looks completely different.

But anyway, I like her doll face, so it was nice to do a TI with her.

I was surprised that there is no TI with her on the site, only LORA.

I hope someone likes this TI. As always, I will be happy to receive a review or feedback

A request of @DCI.

Jutta Leerdam is a Dutch speed skater.

2250-step TI trained on a dataset of 20 images with my usual settings.

Curious about my work process? I have summarized it here.

Appreciate my work? My TIs are free, but you can always buy me a coffee. :)

Erika is a streamer, gamer and voice actress.

Dominique D'Angelo, better known as MiniJello. Five or six years ago, a very popular Instagram model among "boobs on a stick" lovers, she became a legend in this community.

It was very difficult to create this TI, there is no good quality photo of her, especially where her face could be clearly seen. Therefore, it took me several attempts to create at least such a result. I think in the future I will update this version.

I hope someone likes this TI. As always, I will be happy to receive a review or feedback.

Appreciate my work? Can you buy me a coffe please :)

Shakira: Shakira Isabel Mebarak Ripoll (Barranquilla, Atlántico, Colombia, February 2, 1977), known simply as Shakira, is a Colombian singer-songwriter, dancer, actress and businesswoman. Her high level of sales, vocal versatility and her global success have led her to be described by important magazines and media with the nickname "Queen of Latin Pop".3 She is considered a world icon of Latin music,4 since her His debut in the 90s to the present has had a great impact on the music scene,5 being cited on numerous occasions for inspiring and influencing an entire generation of singers.6 With an artistic career of more than thirty years,7 She is one of the artists with the highest record sales in history, with more than 85 million sales,8 9 10 being also the Latin artist with the highest sales in the United States.

Used model: Realistic Vision v1,3

recommended parameters:

Prompt:

RAW photo, a close up portrait photo of 26 y.o woman in wastelander clothes, long haircut, pale skin, slim body, background is city ruins, (high detailed skin:1.2), 8k uhd, dslr, soft lighting, high quality, film grain, Fujifilm XT3

Negative Prompt:
(deformed iris, deformed pupils, semi-realistic, cgi, 3d, render, sketch, cartoon, drawing, anime:1.4), text, close up, cropped, out of frame, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck

Euler A or DPM++ 2M Karras with 25 steps
CFG Scale 7

QR to my page buymeacoffee

Hide

Ashley Schultz is an American pop singer and social media personality.

1000-step TI trained on a dataset of 20 images with my usual settings.

I had attempted to train a TI based on Ashley a few times before, but failed quite badly. That was some weeks ago and I think upscaling her pics had a very negative effect on the final results. Since then, I've altered my process a bit, and I think this time around the results are good enough to be published. She's not exactly the most famous of the girls I've uploaded so far, but I've always liked her looks a lot and I think she deserves a decent embedding. Hope you'll like it! :)

Curious about my work process? I have summarized it here.

Appreciate my work? My TIs are free, but you can always buy me a coffee. :)

About the Cute Creature style

Trained on 18 AI-generated images, this textual inversion will create cute, likable creatures.

Get Started

Download .pt file to your embeddings folder in Web UI and prompt cutecreature in your positive prompt.

if the structure of your prompt is "medium of [subject], [style]", I am sharing a list of [subjects] from the training set to get you started. Please check the version description field below.

There are two suggested ways how to use the list of subjects:

1. Copy and paste to your StylePile X filed and prompt medium of [X] or just [X]. Make sure to set your batch to 1 because it will be multiplied by the number of values in X. This way will produce all the prompts every time.

2. Requires wildcards extension installed. Save these values as monstersubjects.txt, copy it to your wildcards folder (table-diffusion-webui-master\extensions\stable-diffusion-webui-wildcards\wildcards) and prompt "__monstersubjects__" without the quotes. This will give you a random value from the list and will not increase the batch count.

I tested this on 6+ models and I got the best results on Deliberate, Dreamshaper, and Dreamlike Duffusion. Anime models seem to fail to deliver, but maybe I am not using the right ones.

Prompts require some fine-tuning and more imagination and there is space to try other models and style strengths.

Please share your results here and follow us here on Civitai for more

Follow me to make sure you see new poses and Nobodys when I post them. Things move fast on this site, it's easy to miss.

Embedding to get the hot new 80s Dark Fantasy Movie style aesthetic to any image quickly and easily. Images were generated using the legendary A to Zovya RPG Artist's Tools V2 model.

Some images have the old VHS Movie aesthetic. Images will have this look to them unless you prompt it out. Most people want sharper images these days, but this is more true to the original content. Prompt for "bluray movie" in he positive and/or "vhs" in the negative.

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

Ekaterina Novikova (also known as Killer Katrin, May 13, 1995) is a Lingerie model and a social influencer. Novikova is well-known for posting hot and bold photos on social media. She is also listed as one of the emerging models on Instagram.

If you like my work, a review is more than welcome! Also, follow me on Twitter or Instagram!

Looking for something... spicy? Here's my Patreon!

Also, I recently started a blog where I will gather resources and tutorials about my work here!

Hey nice people! Today I spoil you with something HOT. My textual inversion of Ekaterina Novikova, also known as Killer Katrin! I know that you'll like her ;) I used 40 public images of her with a 6600 steps process. To use it in your works:

• warning: this textual inversion is nasty :D take a look at prompts in the gallery for inspiration;

• download the file and place it into stable-diffusion-webui>embeddings folder;

• add killer95 to your prompt;

• keep the sampling steps around 20/25, and CFG between 7 and 8 to work well. Great results with DPM++ SDE Karras & Realistic Vision;

Embedding of Luisa Neubauer Climate Activist

A TI of the OG Kylie, none of your 'Jenner' nonsense!

Mostly trained on photos from the late 00's to the mid 10's so this is a somewhat more 'mature' Kylie.

I plan at some point to create a model for the fresh-faced 18y old straight out of Neighbours, but please don't hold me to that as most images from that era are very low quality. Remember, she started her career before the WWW existed!

Appreciate my work? Can you buy me a coffe please :)

Camila Colombia ,she is an instagram, twitter and onlyfans model, she has a large number of fans and followers on her social networks

Used model: Realistic Vision v1,3

recommended parameters:

Prompt:

RAW photo, a close up portrait photo of 26 y.o woman in wastelander clothes, long haircut, pale skin, slim body, background is city ruins, (high detailed skin:1.2), 8k uhd, dslr, soft lighting, high quality, film grain, Fujifilm XT3

Negative Prompt:
(deformed iris, deformed pupils, semi-realistic, cgi, 3d, render, sketch, cartoon, drawing, anime:1.4), text, close up, cropped, out of frame, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck

Euler A or DPM++ 2M Karras with 25 steps
CFG Scale 7

QR to my page buymeacoffee

Mei, from Overwatch
(it's not perfect, I know, but I'm pretty happy with the results)
generation info still in the metadata for all images if you save them locally.

Lower CFG gives best results, I hang out around 4.5.

Lower CFG also gives more strength to the embedding vs your overall prompt. I’ve found a lower CFG works better for any embedding on this site.

Did some testing with prompts on this one, and for some reason it sometimes helps if you add "Mei_overwatch" to the prompt.
But without the embedding, "Mei_overwatch" looks nothing like her. Embedding by itself still works well though!

Tested this on a bunch of different models, some realistic, some anime.

TEST PROMPT
(I use a system the uses <> for TI triggers, remove those if your UI doesn't utilize that.)

<fenn_mei>, portrait, (masterpiece),(best quality:1.0), (ultra highres:1.0), detailed, 1girl, curvy, wearing glasses, messy bun, wearing a coat, kneeling, thong, large snow boots, snow outside, vibrant, vivid, ski lodge, smiling, booty, detailed beautiful skin, detailed eyes, mei_overwatch

Negative -
3d, sepia, thin, painting, cartoon, sketch, text, watermark, signature, logo, (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, bad hands, normal quality, ((monochrome)), ((grayscale)), collapsed eyeshadow, multiple eyebrows,


Before anyone asks, it's a .bin file because it was trained using the Google Colab, and that's what it gives you.

This is my fourth upload, please, for the love of god, leave a review or something.

Autumn Falls is an American pornographic actress and erotic model.

From a family of Puerto Rican descent.

To train this IT I have used a dataset of 30 images . 400 steps

Enjoy :D .

A request of @GeneticPerfectionAI.

Tahlia Hall is an Australian model and social media personality.

1000-step TI trained on a dataset of 25 images (provided by GeneticPerfectionAI) with my usual settings.

Curious about my work process? I have summarized it here.

Appreciate my work? My TIs are free, but you can always buy me a coffee. :)

Darina Bliek, nothing special, just another Instagram and Onlyfans model. Used her photo to practice my skills and it turned out to be a pretty not-so-bad TI.

For those who like skinny bimbo models.

As always I will be happy to receive any feedback, advice, tips or criticism.

This is my fifth Textual Inversion, called Style-SwirlMagic. This model was trained on a single image using DreamArtist. As the name suggests, it adds magical swirls to images, making it a great tool for creating RPG caster characters and adding fun magical effects.

The strength of the TI output depends on the prompt used and can range from subtle to overwhelming. It's important to adjust the weights as necessary.

All display images have been upscaled, so the seeds/parameters for 1:1 image replication will not be correct. I am working on adding the original prompts/seeds to the description of each image. However, even with this information, it may be challenging to replicate an image exactly 1:1. You can refer to this comment for further explanation: https://civitai.com/models/14065/faetastic?commentId=69125&modal=commentThread

If you're interested in upscaling images to achieve high-quality results, I've written a guide that you may find helpful: https://ko-fi.com/post/The-Double-Headed-Issue-E1E0JO2UV

Follow me to make sure you see new poses and Nobodys when I post them. Things move fast on this site, it's easy to miss.

Embedding to get the Atompunk style aesthetic to any image quickly and easily. Images were generated using the legendary A to Zovya RPG Artist's Tools V2 model.

Most models have a strong asian style to them, this model does a pretty good job of removing that, but you might find you need to put "asian" in the negative prompt to help it out.

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

Mackenzie Davis is a Canadian actress and model, known for her roles in Terminator, Black Mirror, Halt and Catch Fire and Station Eleven, among others.

Update! I've realised that step 850, which I discarded initially because of its tendency towards darker hair tonalities, is probably a better TI overall than step 500. If you are using the new version, you might want to add "blonde" to your prompt to ensure that's the way she appears on screen, but in most cases it won't be necessary. Do check both versions and compare! :)

850-step TI trained on a dataset of 20 images with my usual settings.

Curious about my work process? I have summarized it here.

Appreciate my work? My TIs are free, but you can always buy me a coffee. :)

Banita Sandhu is a Welsh-born actress who primarily works in Indian films. Not completely sure how she got on my list to be honest, but I'm not complaining.

Might want to put "bindi" as a negative prompt since some models like to add one. (Not sure how that got there, since she doesn't have one in any of the training images.)

Jenna-Louise Coleman (born 27 April 1986), known professionally as Jenna Coleman, is an English actress. She is known for her roles as Jasmine Thomas in the soap opera Emmerdale, Clara Oswald in the science-fiction series Doctor Who, Queen Victoria in the period drama Victoria, Joanna Lindsay in the crime miniseries The Cry, and Marie-Andrée Leclerc in the crime miniseries The Serpent.

If you like my work, a review is more than welcome! Also, follow me on Twitter or Instagram!

Looking for something... spicy? Here's my Patreon!

Also, I recently started a blog where I will gather resources and tutorials about my work here!

Hey nice people! To celebrate my 100 followers milestone, here's my textual inversion of Jenna Coleman! I used 30 public images of her with a 2000 steps process. To use it in your works:

• download the file and place it into stable-diffusion-webui>embeddings folder;

• add jencoleman86 to your prompt;

• keep the sampling steps around 20/25, and CFG between 7 and 8 to work well. Great results with DPM++ SDE Karras & Edge of Realism;

A simple model trained on a custom dataset containing over 100 coloring book type images.