Keto ACV gummies are a type of dietary supplement that combines the benefits of the ketogenic diet with apple cider vinegar (ACV) in a convenient and tasty form. ACV has been long used for its potential health benefits, including improving digestion, weight loss, and reducing inflammation. Meanwhile, the ketogenic diet has gained popularity for its potential to promote weight loss and improve metabolic health.
Keto ACV gummies typically contain ingredients such as apple cider vinegar, MCT oil, and collagen peptides, and are sweetened with natural sweeteners like stevia or erythritol. They are often marketed as a way to support weight loss, boost energy levels, and improve digestion while following a keto diet. However, it's important to note that research on the effectiveness of ACV and the keto diet is still ongoing, and individual results may vary. As with any dietary supplement, it's always a good idea to consult with a healthcare provider before adding keto ACV gummies to your routine.
Keto ACV gummies work by combining the benefits of the ketogenic diet with apple cider vinegar (ACV) in a convenient and tasty form. Here's how each of these ingredients contributes to the potential benefits of keto ACV gummies:
1. Ketogenic diet: The ketogenic diet is a high-fat, low-carbohydrate diet that promotes the use of fat as the primary source of energy. This metabolic state, known as ketosis, has been linked to potential health benefits such as weight loss, improved insulin sensitivity, and reduced inflammation.
2. Apple cider vinegar: ACV is made by fermenting apples and is a natural source of acetic acid, which is thought to contribute to its potential health benefits. ACV has been linked to potential benefits such as improved digestion, weight loss, and reduced inflammation.
3. MCT oil: Medium-chain triglycerides (MCTs) are a type of fat that are easily converted into ketones, which can help promote ketosis and provide energy for the body.
4. Collagen peptides: Collagen is a protein that is found in the skin, bones, and connective tissue of animals. Collagen peptides are a hydrolyzed form of collagen that are easier for the body to absorb and use. Collagen is thought to support skin health, joint health, and gut health.
Keto ACV gummies typically contain a combination of these ingredients and are sweetened with natural sweeteners like stevia or erythritol. While the specific mechanisms of how keto ACV gummies work are still being studied, they may provide a convenient and tasty way to support the potential health benefits of the ketogenic diet and ACV.
Keto ACV gummies have several potential advantages, including:
1. Convenient and Tasty: Keto ACV gummies offer a convenient and tasty way to supplement your diet with the benefits of the ketogenic diet and apple cider vinegar, without having to drink or swallow a liquid.
2. May Promote Weight Loss: Both the ketogenic diet and apple cider vinegar have been linked to potential weight loss benefits, and the combination of these ingredients in keto ACV gummies may help support weight loss goals.
3. May Improve Digestion: Apple cider vinegar has been linked to potential digestive benefits, such as reducing bloating and improving gut health, which may be further supported by the collagen peptides in keto ACV gummies.
4. May Boost Energy Levels: MCT oil, a common ingredient in keto ACV gummies, is easily converted into ketones, which can provide the body with energy during ketosis.
5. May Improve Metabolic Health: The ketogenic diet has been linked to potential improvements in metabolic health, such as improved insulin sensitivity, which may be further supported by the potential benefits of apple cider vinegar and collagen peptides.
It's important to note that the effectiveness of keto ACV gummies may vary between individuals, and they should not be used as a replacement for a balanced and healthy diet. Additionally, it's always a good idea to consult with a healthcare provider before adding any new supplements to your routine.
Keto ACV gummies are a type of dietary supplement that combines the benefits of the ketogenic diet with apple cider vinegar (ACV) in a convenient and tasty form. ACV has been long used for its potential health benefits, including improving digestion, weight loss, and reducing inflammation. Meanwhile, the ketogenic diet has gained popularity for its potential to promote weight loss and improve metabolic health.
Keto ACV gummies typically contain ingredients such as apple cider vinegar, MCT oil, and collagen peptides, and are sweetened with natural sweeteners like stevia or erythritol. They are often marketed as a way to support weight loss, boost energy levels, and improve digestion while following a keto diet. However, it's important to note that research on the effectiveness of ACV and the keto diet is still ongoing, and individual results may vary. As with any dietary supplement, it's always a good idea to consult with a healthcare provider before adding keto ACV gummies to your routine.
Keto ACV gummies work by combining the benefits of the ketogenic diet with apple cider vinegar (ACV) in a convenient and tasty form. Here's how each of these ingredients contributes to the potential benefits of keto ACV gummies:
1. Ketogenic diet: The ketogenic diet is a high-fat, low-carbohydrate diet that promotes the use of fat as the primary source of energy. This metabolic state, known as ketosis, has been linked to potential health benefits such as weight loss, improved insulin sensitivity, and reduced inflammation.
2. Apple cider vinegar: ACV is made by fermenting apples and is a natural source of acetic acid, which is thought to contribute to its potential health benefits. ACV has been linked to potential benefits such as improved digestion, weight loss, and reduced inflammation.
3. MCT oil: Medium-chain triglycerides (MCTs) are a type of fat that are easily converted into ketones, which can help promote ketosis and provide energy for the body.
4. Collagen peptides: Collagen is a protein that is found in the skin, bones, and connective tissue of animals. Collagen peptides are a hydrolyzed form of collagen that are easier for the body to absorb and use. Collagen is thought to support skin health, joint health, and gut health.
Keto ACV gummies typically contain a combination of these ingredients and are sweetened with natural sweeteners like stevia or erythritol. While the specific mechanisms of how keto ACV gummies work are still being studied, they may provide a convenient and tasty way to support the potential health benefits of the ketogenic diet and ACV.
Keto ACV gummies have several potential advantages, including:
1. Convenient and Tasty: Keto ACV gummies offer a convenient and tasty way to supplement your diet with the benefits of the ketogenic diet and apple cider vinegar, without having to drink or swallow a liquid.
2. May Promote Weight Loss: Both the ketogenic diet and apple cider vinegar have been linked to potential weight loss benefits, and the combination of these ingredients in keto ACV gummies may help support weight loss goals.
3. May Improve Digestion: Apple cider vinegar has been linked to potential digestive benefits, such as reducing bloating and improving gut health, which may be further supported by the collagen peptides in keto ACV gummies.
4. May Boost Energy Levels: MCT oil, a common ingredient in keto ACV gummies, is easily converted into ketones, which can provide the body with energy during ketosis.
5. May Improve Metabolic Health: The ketogenic diet has been linked to potential improvements in metabolic health, such as improved insulin sensitivity, which may be further supported by the potential benefits of apple cider vinegar and collagen peptides.
It's important to note that the effectiveness of keto ACV gummies may vary between individuals, and they should not be used as a replacement for a balanced and healthy diet. Additionally, it's always a good idea to consult with a healthcare provider before adding any new supplements to your routine.
I trained this textual inversion model on 3D Rule 34 character images. I used 30 images and trained for 3000 steps. The images are generated using DucHaitenSuperCute model.
Use 'rule34sfmgirl' in the prompt.
I trained this textual inversion model on 3D Rule 34 character images. I used 30 images and trained for 3000 steps. The images are generated using DucHaitenSuperCute model.
This is an inversion trained on the works of an artist sometimes known as "bilibili xiaolu".
Unlike a LoRA, it is more forceful and less flexible - treat this as a flavor-spice rather than a coat of paint. I quite like what it does to proportions and shading. Due to the training data, there's a propensity for views from behind the character, and towards skimpier clothing. You may have to counter these things with your prompting to get the desired results, if you do not want them.
In my testing, the style maxes out and begins to deteriorate around 0.9 strength, but your mileage may vary. It should work about the same on most anime models.
This is an inversion trained on the works of an artist sometimes known as "bilibili xiaolu".
Unlike a LoRA, it is more forceful and less flexible - treat this as a flavor-spice rather than a coat of paint. I quite like what it does to proportions and shading. Due to the training data, there's a propensity for views from behind the character, and towards skimpier clothing. You may have to counter these things with your prompting to get the desired results, if you do not want them.
In my testing, the style maxes out and begins to deteriorate around 0.9 strength, but your mileage may vary. It should work about the same on most anime models.
First of all, you can just use the prompt "ultimate warrior" in most SD 1.5 models and get something that looks half decent, but I wanted more control and consistency between models, without conflicting with any known styles.
The result was something far more useful and flexible than I expected, this textual inversion will let you turn anyone you want into an over-the-top flamboyant wrestler, complete with muscles and facepaint and wild hair.
Suggested Weight: 0.6-1.2 (this is where the embedding shines imo, you can dial it up or down as much as you need, depending on how well it's mixing with the other subject)
Suggested prompts
promotional photo of (person:1.0) as (u1t1m4t3w4rr10r:1.0)
photo of (woman:1.0) as (female u1t1m4t3w4rr10r:1.0)
promotional photo of (person:1.0) as (u1t1m4t3w4rr10r:1.0), (facepaint:0.6)
First of all, you can just use the prompt "ultimate warrior" in most SD 1.5 models and get something that looks half decent, but I wanted more control and consistency between models, without conflicting with any known styles.
The result was something far more useful and flexible than I expected, this textual inversion will let you turn anyone you want into an over-the-top flamboyant wrestler, complete with muscles and facepaint and wild hair.
Suggested Weight: 0.6-1.2 (this is where the embedding shines imo, you can dial it up or down as much as you need, depending on how well it's mixing with the other subject)
Suggested prompts
promotional photo of (person:1.0) as (u1t1m4t3w4rr10r:1.0)
photo of (woman:1.0) as (female u1t1m4t3w4rr10r:1.0)
promotional photo of (person:1.0) as (u1t1m4t3w4rr10r:1.0), (facepaint:0.6)
Khoudia Diop, also known as the Melanin Goddess, is a Senegalese fashion model and actress.
Actually I found out, that using Clip skip: 1 seems to make the results less comic / child-like. Not sure if that is a general thing. Let me know in the discussion if that's always the case. I'm pretty new to the scene!
Khoudia Diop, also known as the Melanin Goddess, is a Senegalese fashion model and actress.
Actually I found out, that using Clip skip: 1 seems to make the results less comic / child-like. Not sure if that is a general thing. Let me know in the discussion if that's always the case. I'm pretty new to the scene!
Suggested weight of 0.9-1.0 seems to work well. Lower than 0.9 loses likeness quickly, and higher than 1.0 will start to introduce artificial looking freckles and lines in the face.
Realistic Vision 1.4 seemed to give the best results compared to 1.3, but it works well on just about any 1.5 based checkpoint.
Trained on ~14 images with the following settings:
Suggested weight of 0.9-1.0 seems to work well. Lower than 0.9 loses likeness quickly, and higher than 1.0 will start to introduce artificial looking freckles and lines in the face.
Realistic Vision 1.4 seemed to give the best results compared to 1.3, but it works well on just about any 1.5 based checkpoint.
Trained on ~14 images with the following settings:
Suggested weight of 0.8-1.0 seems to work well. Realistic Vision 1.4 seemed to get the likeness better than RV1.3. Tried on a few others - aside from very close portraits the likeness gets lost easily and requires inpainting.
Trying to combine with certain subjects (like "Big baby Jesus" for example) will result in him having lighter skin so for those you'll want to turn the weight up.
Also seems to react better to higher CFG values for certain prompts, between 7-11.
This is still a WIP, but have to start somewhere. This was trained on only 6 low quality images with the following settings:
Suggested weight of 0.8-1.0 seems to work well. Realistic Vision 1.4 seemed to get the likeness better than RV1.3. Tried on a few others - aside from very close portraits the likeness gets lost easily and requires inpainting.
Trying to combine with certain subjects (like "Big baby Jesus" for example) will result in him having lighter skin so for those you'll want to turn the weight up.
Also seems to react better to higher CFG values for certain prompts, between 7-11.
This is still a WIP, but have to start somewhere. This was trained on only 6 low quality images with the following settings:
Inspired by a medium type tag "Architectural Diggest Photo" which is recognized by Stable Diffusion, I researched architectural magazines further and trained this textual inversion to be used as a better version of that medium (example: "archmagazine photo").
Trigger word: archmagazine. Prompt archmagazine photo of or archmagazine 3d render of, etc.
This will help with the composition of the image and will influence colors. It may also navigate toward the Photo medium (data set were photos), but you can always use a strength of 0.5-0.9 if something is too much for you.
It will work best for typical rooms inside the house: Living room, bedroom, bathroom, kitchen, dining room, etc.
Enjoy your image generation and share the results with us in the comments.
Inspired by a medium type tag "Architectural Diggest Photo" which is recognized by Stable Diffusion, I researched architectural magazines further and trained this textual inversion to be used as a better version of that medium (example: "archmagazine photo").
Trigger word: archmagazine. Prompt archmagazine photo of or archmagazine 3d render of, etc.
This will help with the composition of the image and will influence colors. It may also navigate toward the Photo medium (data set were photos), but you can always use a strength of 0.5-0.9 if something is too much for you.
It will work best for typical rooms inside the house: Living room, bedroom, bathroom, kitchen, dining room, etc.
Enjoy your image generation and share the results with us in the comments.
Harry Edward Styles (born 1 February 1994) is an English singer and songwriter. His musical career began in 2010 as a solo contestant on the British music competition series The X Factor. Following his elimination, he was brought back to join the boy band One Direction. It became one of the best-selling boy groups of all time before going on an indefinite hiatus in 2016.
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! If you like my work, a review is more than welcome! Also, follow me on Twitter or Instagram!
Hey everyone! Nice to see you all again! Today I want to introduce a textual inversion of Harry Styles! I used 30 public images of him with an 9000 steps process. To use it in your works:
download the file and place it into stable-diffusion-webui>embeddings folder;
add harstyles94 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. Both Edge Of Realism and Realistic Vision are able to give you good results;
Harry Edward Styles (born 1 February 1994) is an English singer and songwriter. His musical career began in 2010 as a solo contestant on the British music competition series The X Factor. Following his elimination, he was brought back to join the boy band One Direction. It became one of the best-selling boy groups of all time before going on an indefinite hiatus in 2016.
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! If you like my work, a review is more than welcome! Also, follow me on Twitter or Instagram!
Hey everyone! Nice to see you all again! Today I want to introduce a textual inversion of Harry Styles! I used 30 public images of him with an 9000 steps process. To use it in your works:
download the file and place it into stable-diffusion-webui>embeddings folder;
add harstyles94 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. Both Edge Of Realism and Realistic Vision are able to give you good results;
Lena Katina, is a Russian singer, she is essentially known to be one of two members with Julia Volkova of the Russian pop rock band t.A.T.u 31 images 5000steps
Lena Katina, is a Russian singer, she is essentially known to be one of two members with Julia Volkova of the Russian pop rock band t.A.T.u 31 images 5000steps
First go at doing a TI. Only took 8 minutes to run, pretty happy with the result. It's not 1:1 with her, but I do like the pretty goth lady it generates!
First go at doing a TI. Only took 8 minutes to run, pretty happy with the result. It's not 1:1 with her, but I do like the pretty goth lady it generates!
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.
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.
Kaitlyn Siragusa (born December 2, 1993), better known as Amouranth (pronounced as "amaranth"), is an American Internet celebrity, streamer, and OnlyFans model. Siragusa is also known for her ASMR Twitch livestreams.
Siragusa was initially a cosplayer, appearing at character parties for children and doing hospital visits. In 2016, she was asked by streaming company Twitch to join as a content creator and livestream making costumes. She accepted, and by 2021, became the most popular female streamer on Twitch, known for her dancing, ASMR, and hot tub streaming content.
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
Kaitlyn Siragusa (born December 2, 1993), better known as Amouranth (pronounced as "amaranth"), is an American Internet celebrity, streamer, and OnlyFans model. Siragusa is also known for her ASMR Twitch livestreams.
Siragusa was initially a cosplayer, appearing at character parties for children and doing hospital visits. In 2016, she was asked by streaming company Twitch to join as a content creator and livestream making costumes. She accepted, and by 2021, became the most popular female streamer on Twitch, known for her dancing, ASMR, and hot tub streaming content.
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
This model is inspired by and in memory of the legendary master of perspective, drawing and scketh and unrivaled imagination, who I greatly admire for creating such incredible intricate and detailed scenes I have seen so far.
This is the first version of the Kim Jung-Gi style, which I consider still does not reach the great style and beauty of his works, but it is a little closer to that greatness.
I hope many of you like such a style of the great master that has come before us but that inspires this model of his great art.
This model is inspired by and in memory of the legendary master of perspective, drawing and scketh and unrivaled imagination, who I greatly admire for creating such incredible intricate and detailed scenes I have seen so far.
This is the first version of the Kim Jung-Gi style, which I consider still does not reach the great style and beauty of his works, but it is a little closer to that greatness.
I hope many of you like such a style of the great master that has come before us but that inspires this model of his great art.
Felicity Jones, requested by good ol' @lemke! Felicity Jones is an actress best known for playing in Rogue One: A Star Wars Story.
It was brought to my attention that there's another model up for Felicity Jones, a LyCORIS of her by @malcolmrey . Combining it with the embedding provided on this page yields some unique results and is definitely worth experimenting with!
The embed has been trained on SD 1.5 and works well on most 1.5 based models. While testing the embed I noticed that on some models (such as the protogen series) there is a tendency to create grey monotone backgrounds. Strong prompting or putting the token for Koh_FelicityJones a bit more towards the end largely mends this issue.
If you enjoy my creations, consider supporting me on Ko-Fi :)
Felicity Jones, requested by good ol' @lemke! Felicity Jones is an actress best known for playing in Rogue One: A Star Wars Story.
It was brought to my attention that there's another model up for Felicity Jones, a LyCORIS of her by @malcolmrey . Combining it with the embedding provided on this page yields some unique results and is definitely worth experimenting with!
The embed has been trained on SD 1.5 and works well on most 1.5 based models. While testing the embed I noticed that on some models (such as the protogen series) there is a tendency to create grey monotone backgrounds. Strong prompting or putting the token for Koh_FelicityJones a bit more towards the end largely mends this issue.
If you enjoy my creations, consider supporting me on Ko-Fi :)
Тэги: star warstextual inversionhollywoodkohwomanactressembeddingreal person
Adut Akech Bior is a South Sudanese-Australian model.
This is my first TI model. It is customizable (e.g. hairstyle ) if you use some rather strong weights. See examples.
Big thanks to @JernauGurgeh for the kindness of sharing his amazing process and training settings. Amazing open source spirit, this is why I love this community! Check out his models they are all amazing.
Adut Akech Bior is a South Sudanese-Australian model.
This is my first TI model. It is customizable (e.g. hairstyle ) if you use some rather strong weights. See examples.
Big thanks to @JernauGurgeh for the kindness of sharing his amazing process and training settings. Amazing open source spirit, this is why I love this community! Check out his models they are all amazing.
Ángela Aguilar : Ángela Aguilar Álvarez Alcalá (Los Angeles, California, October 8, 2003), known simply as Ángela Aguilar, is an American singer. As a performer, she specializes in the Regional Mexican music genre. Her father is mariachi singer-songwriter Pepe Aguilar. Her grandfather was Mexican mariachi musician and film actor Antonio Aguilar, and her grandmother was Mexican singer and actress Flor Silvestre.1
Ángela Aguilar gained notable recognition after performing "La Llorona" at the 2018 19th Annual Latin Grammy Awards.
Her first solo studio album of hers, First I'm Mexican (2018), was met with critical acclaim and success. She has been nominated for a Grammy Award and two Latin Grammy Awards, making her one of the youngest artists to be nominated for both awards.
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
Ángela Aguilar : Ángela Aguilar Álvarez Alcalá (Los Angeles, California, October 8, 2003), known simply as Ángela Aguilar, is an American singer. As a performer, she specializes in the Regional Mexican music genre. Her father is mariachi singer-songwriter Pepe Aguilar. Her grandfather was Mexican mariachi musician and film actor Antonio Aguilar, and her grandmother was Mexican singer and actress Flor Silvestre.1
Ángela Aguilar gained notable recognition after performing "La Llorona" at the 2018 19th Annual Latin Grammy Awards.
Her first solo studio album of hers, First I'm Mexican (2018), was met with critical acclaim and success. She has been nominated for a Grammy Award and two Latin Grammy Awards, making her one of the youngest artists to be nominated for both awards.
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
Jessica Chobot is a gamer and television personality. She got her start in the industry hosting gaming programming for IGN and Microsoft covering video games as well as attending many industry events. She currently can be seen on various programs on the discovery network of shows, including a show called Expedition X.
Aside from all that, it should be obvious that she's a very attractive lady. She looks just as good now as she always has, but I did choose the dataset based on much of the time earlier in her career (mostly only noticeable if you pay attention to the hairstyle).
There's probably going to be exactly 1, maybe 2 other people that understand the reference, but for diehard Chobot fans, I gave it a shot at recreating the picture. You know, the one that basically kicked off her entire career in the industry.
Tested with a good number of models with decent results. Mostly realistic style models. Not too many anime models, but a couple artistic oreinted ones though such as Dreamscaper, Galaxy Time Machine, and DucHaiten's models.
Trained up to 6000 steps on the base 1.5 model so it should work with most 1.5 models.
Some of the prompts in my images might have a different name than the actual filename, they were images I liked when I was running XYZ plot tests that I liked the result, all images have the same training strength as the 1.0 version of this TI.
I have made a decent number of Textual Inversions for personal use for projects, but not many that I have actually released to the public, so hopefully this is up to the mark for people's standards.
Huge shoutout to JernauGurgeh for being such a good soul and being not only helpful, but enthusiastic and a great member of the community. You should check out their work, they're one of the people I respect and look to most as a member of the community when it comes to creating good TIs and sharing good info.
Jessica Chobot is a gamer and television personality. She got her start in the industry hosting gaming programming for IGN and Microsoft covering video games as well as attending many industry events. She currently can be seen on various programs on the discovery network of shows, including a show called Expedition X.
Aside from all that, it should be obvious that she's a very attractive lady. She looks just as good now as she always has, but I did choose the dataset based on much of the time earlier in her career (mostly only noticeable if you pay attention to the hairstyle).
There's probably going to be exactly 1, maybe 2 other people that understand the reference, but for diehard Chobot fans, I gave it a shot at recreating the picture. You know, the one that basically kicked off her entire career in the industry.
Tested with a good number of models with decent results. Mostly realistic style models. Not too many anime models, but a couple artistic oreinted ones though such as Dreamscaper, Galaxy Time Machine, and DucHaiten's models.
Trained up to 6000 steps on the base 1.5 model so it should work with most 1.5 models.
Some of the prompts in my images might have a different name than the actual filename, they were images I liked when I was running XYZ plot tests that I liked the result, all images have the same training strength as the 1.0 version of this TI.
I have made a decent number of Textual Inversions for personal use for projects, but not many that I have actually released to the public, so hopefully this is up to the mark for people's standards.
Huge shoutout to JernauGurgeh for being such a good soul and being not only helpful, but enthusiastic and a great member of the community. You should check out their work, they're one of the people I respect and look to most as a member of the community when it comes to creating good TIs and sharing good info.
Alexa Davalos is an American actress, known for her roles in The Chronicles of Riddick and the HBO series The Man in the High Castle, among many others.
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. :)
Alexa Davalos is an American actress, known for her roles in The Chronicles of Riddick and the HBO series The Man in the High Castle, among many others.
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. :)
Тэги: charactergirlpersonfemaletextual inversionhollywoodinstagramwomanactresscelebrityembeddinggirlsreal personwomenalexa davalosthe man in the high castle
Duckie Thot is a stunningly gorgeous South Sudanese-Australian supermodel. She was the last eliminated on the eighth cycle of Australia's Next Top Model and she is best known for being a face of Fenty. She is the 3rd model that shares a birthday with yours truly.
Duckie Thot is a stunningly gorgeous South Sudanese-Australian supermodel. She was the last eliminated on the eighth cycle of Australia's Next Top Model and she is best known for being a face of Fenty. She is the 3rd model that shares a birthday with yours truly.
This embedding was trained on 14 images taken from model cards from the original versions of other models of mine.
It seems to want to add extra details and just zhuzhes things up a bit - see example images for comparisons with and without the embedding from a variety of models/scenes
Use the filename to trigger the embedding (so should be rcnz_style_v3 unless you rename it)
Big thanks to Juice and Airic for helping test this out, and ensuring it's worth using!
This embedding was trained on 14 images taken from model cards from the original versions of other models of mine.
It seems to want to add extra details and just zhuzhes things up a bit - see example images for comparisons with and without the embedding from a variety of models/scenes
Use the filename to trigger the embedding (so should be rcnz_style_v3 unless you rename it)
Big thanks to Juice and Airic for helping test this out, and ensuring it's worth using!
Veronica Cipher is a person who doesn't exist. You can use her if you need a consistent character. She naturally has long brown hair. I've tried to give her small elements to make her unique like moles on her left cheek and small dimples around her mouth. Depending on the model you use you may or may not see them. I've spent time making her as flexible as possible, and she can be used successfully with a variety of models and LORAs. I will likely continue to tweak her in the coming weeks.
Please have a look at other Nobody models for contributions by other folks including those created with the LastName and NBDY tags.
Follow me if you'd like to be notified of future models!
Trigger Word: veronicacipher
Veronica Cipher is a person who doesn't exist. You can use her if you need a consistent character. She naturally has long brown hair. I've tried to give her small elements to make her unique like moles on her left cheek and small dimples around her mouth. Depending on the model you use you may or may not see them. I've spent time making her as flexible as possible, and she can be used successfully with a variety of models and LORAs. I will likely continue to tweak her in the coming weeks.
Please have a look at other Nobody models for contributions by other folks including those created with the LastName and NBDY tags.
Follow me if you'd like to be notified of future models!
This is a 75 token negative embedding for the model Realistic Vision v2.0. It should you help attain a more realistic picture when prompting. All training images were generated from that model, and all the training was also done on that model. The embedding will likely work on other models, but I have not tested it on other models.
To use this embedding you need to download it, put it in your embeddings folder, and then activate it in the negative prompt by typing out it's filename in the negative prompt. By default that will be "realisticvision-negative-embedding" (do not enter the file extension in the negative prompt). If you don't like that activation phrase, then you can change the filename to whatever you want, and that becomes the new activation phrase.
This is a 75 token negative embedding for the model Realistic Vision v2.0. It should you help attain a more realistic picture when prompting. All training images were generated from that model, and all the training was also done on that model. The embedding will likely work on other models, but I have not tested it on other models.
To use this embedding you need to download it, put it in your embeddings folder, and then activate it in the negative prompt by typing out it's filename in the negative prompt. By default that will be "realisticvision-negative-embedding" (do not enter the file extension in the negative prompt). If you don't like that activation phrase, then you can change the filename to whatever you want, and that becomes the new activation phrase.
She left us too soon...for reals this time. She led a difficult and troubled life that ended way too soon, but not before she was able to share her, um, gifts with the world. Godspeed, sweet child.
From a run of 5000 steps I pulled the 3400 step sample from and she looks spectacuar. I hope you like her!
Built on v1.5, she looks best on all of the nicer Models available here.
NOTE: You will want to specify "short hair" since she will occasionally gen with long hair and it'sjust not the same, you know?
She left us too soon...for reals this time. She led a difficult and troubled life that ended way too soon, but not before she was able to share her, um, gifts with the world. Godspeed, sweet child.
From a run of 5000 steps I pulled the 3400 step sample from and she looks spectacuar. I hope you like her!
Built on v1.5, she looks best on all of the nicer Models available here.
NOTE: You will want to specify "short hair" since she will occasionally gen with long hair and it'sjust not the same, you know?
Yvonne Strahovski is an Australian actress, known for her roles as Serena Waterford in The Handmaid's Tale and as Miranda Lawson in the videogames series Mass Effect, among many other important roles.
This TI has been updated. Please check the "About this version" section for more info.
Note: There is a fantastic LoRA of Yvonne Strahovski (not Strahovsky! :D), created by @stablediffusionbox936, also available in this site, if you prefer that to embeddings. You can find it here.
Yvonne Strahovski is an Australian actress, known for her roles as Serena Waterford in The Handmaid's Tale and as Miranda Lawson in the videogames series Mass Effect, among many other important roles.
This TI has been updated. Please check the "About this version" section for more info.
Note: There is a fantastic LoRA of Yvonne Strahovski (not Strahovsky! :D), created by @stablediffusionbox936, also available in this site, if you prefer that to embeddings. You can find it here.
Hello! This is my first TI, an attempt to teach the diffuser how to generate the [two?] face-framing tendrils hair style.
This is an early release that may not be followed up upon, depending on popularity/usage/issues.
Keyword for each individual file is the "Trigger word" in the file details on the upper right hand part of this screen.
V07 info: "Photo" version is a more trained version of the "Illustration" inversion, and has a heavier application strength. If the photo version is used for illustration/anime-style checkpoints, it may start to override racial identity and facial features without further prompting. "Strong"/"Nike" version mightier than both; I selected the training strength that came JUST shy of starting to burn images on some models. About the heaviest application I can manage, for the truly stubborn checkpoints.
V07 Known issues:
May require a higher-strength version for higher application rate in models like Deliberate and Realistic.
Mediumish-strength bias towards a neutral gray background (or a majority-gray/brown/boring background even when prompted). I can't seem to drop this bias yet, sorry.
If it applies too strongly, it can start to affect facial details, and will definitely start to weight the hair color towards black or red. Both of these should (should..) be fairly easy to override without much extra prompting.
If you have any issues or feedback, please comment below!
Model was trained on a fairly-consistent Irish face with black hair (with attempts to de-bias the final result against both of those features afterwards) on a neutral gray background from a variety of zoom and angle shots, with varying amounts of hair contained in the "tendrils" (anywhere from a few strands to straight-up curtain bangs).
Hello! This is my first TI, an attempt to teach the diffuser how to generate the [two?] face-framing tendrils hair style.
This is an early release that may not be followed up upon, depending on popularity/usage/issues.
Keyword for each individual file is the "Trigger word" in the file details on the upper right hand part of this screen.
V07 info: "Photo" version is a more trained version of the "Illustration" inversion, and has a heavier application strength. If the photo version is used for illustration/anime-style checkpoints, it may start to override racial identity and facial features without further prompting. "Strong"/"Nike" version mightier than both; I selected the training strength that came JUST shy of starting to burn images on some models. About the heaviest application I can manage, for the truly stubborn checkpoints.
V07 Known issues:
May require a higher-strength version for higher application rate in models like Deliberate and Realistic.
Mediumish-strength bias towards a neutral gray background (or a majority-gray/brown/boring background even when prompted). I can't seem to drop this bias yet, sorry.
If it applies too strongly, it can start to affect facial details, and will definitely start to weight the hair color towards black or red. Both of these should (should..) be fairly easy to override without much extra prompting.
If you have any issues or feedback, please comment below!
Model was trained on a fairly-consistent Irish face with black hair (with attempts to de-bias the final result against both of those features afterwards) on a neutral gray background from a variety of zoom and angle shots, with varying amounts of hair contained in the "tendrils" (anywhere from a few strands to straight-up curtain bangs).
It's a first try of a beautiful actress. Perfect model for Sci-Fi.
use sonqua-200 (v0.1) or sonqua-2000 (v1.0) for trigger this embeddings on your favourite model. Because of different trainings can be used for different results with different models.
Tested with many models, i found that it makes better images with RealisticVisionV2.0.
It's a first try of a beautiful actress. Perfect model for Sci-Fi.
use sonqua-200 (v0.1) or sonqua-2000 (v1.0) for trigger this embeddings on your favourite model. Because of different trainings can be used for different results with different models.
Tested with many models, i found that it makes better images with RealisticVisionV2.0.
This is a simple dragon embedding to change the Stable Diffusion 1.5's interpretation of the word dragon. Trained on v1-5-pruned-emaonly.safetensors Trained with 21 dragon images for 700-ish epoch's.
This is a simple dragon embedding to change the Stable Diffusion 1.5's interpretation of the word dragon. Trained on v1-5-pruned-emaonly.safetensors Trained with 21 dragon images for 700-ish epoch's.
This embedding is the first iteration (more to come) of models geared towards producing those perfect, photorealistic, yoga pants/leggings that we all love!
Please leave comments! And show off your work!
Who doesn't love a girl in leggings?
This embedding is the first iteration (more to come) of models geared towards producing those perfect, photorealistic, yoga pants/leggings that we all love!
Suggested weight 0.7-0.9. Adding "intricate detail" tends to make him look shrink-wrapped and overcooked. Open to suggestions on refining the training process.
This is still a WIP, but have to start somewhere. This was trained on ~14 images with the following settings:
Learning Rate: 0.002
Batch Size: 3
Gradient Steps: 2
The TI is nowhere near where I'd like it to be, with the right prompts you can get some decent looking images however they will tend to be low-resolution.
Suggested weight 0.7-0.9. Adding "intricate detail" tends to make him look shrink-wrapped and overcooked. Open to suggestions on refining the training process.
This is still a WIP, but have to start somewhere. This was trained on ~14 images with the following settings:
Learning Rate: 0.002
Batch Size: 3
Gradient Steps: 2
The TI is nowhere near where I'd like it to be, with the right prompts you can get some decent looking images however they will tend to be low-resolution.
Spent several hours curating and selecting a set of 29 very old hand-painted photographs from China and Japan, which have been used as the basis for training these embeddings. This means that when you use these embeddings to generate your own images, you will be able to recreate the aesthetic and style of these ancient photographs with remarkable accuracy and detail. Try experimenting with futuristic prompts of characters. This TI embedding works great with most fine tuned checkpoints.
PS: Use the generation parameters of the sample images provided and then try experimenting with different combinations. Do share your generations, I would love to see them. Thank You
TRY OUT ALL VERSONS
Spent several hours curating and selecting a set of 29 very old hand-painted photographs from China and Japan, which have been used as the basis for training these embeddings. This means that when you use these embeddings to generate your own images, you will be able to recreate the aesthetic and style of these ancient photographs with remarkable accuracy and detail. Try experimenting with futuristic prompts of characters. This TI embedding works great with most fine tuned checkpoints.
PS: Use the generation parameters of the sample images provided and then try experimenting with different combinations. Do share your generations, I would love to see them. Thank You
Michael C. Hall is an actor most recognizable and known for playing Dexter Morgan on Showtime's TV series Dexter.
I saw another TI of Dexter, and thought it was decent, but I wanted to see if I could do any better since I was already planning to try my hand at him.
Trained on 25 images of Michael C. Hall as Dexter. Mostly screencaptures from the TV series.
I mostly used closeup for the dataset and trained his appearance, but not his attire or other elements from the show. I haven't messed around with LoRAs yet, but this seems like the type of thing that one of those would be useful for.
For what it's worth, I was going to showcase more images with Dexter stalking different people, but ran out of time so figured the couple I had were good enough. I have to learn Latent Couple or other techniques better to make better use of these types of photos.
Michael C. Hall is an actor most recognizable and known for playing Dexter Morgan on Showtime's TV series Dexter.
I saw another TI of Dexter, and thought it was decent, but I wanted to see if I could do any better since I was already planning to try my hand at him.
Trained on 25 images of Michael C. Hall as Dexter. Mostly screencaptures from the TV series.
I mostly used closeup for the dataset and trained his appearance, but not his attire or other elements from the show. I haven't messed around with LoRAs yet, but this seems like the type of thing that one of those would be useful for.
For what it's worth, I was going to showcase more images with Dexter stalking different people, but ran out of time so figured the couple I had were good enough. I have to learn Latent Couple or other techniques better to make better use of these types of photos.
Faith is the sixth member of the LastName family, for anyone who wants a consistent character for their SD 1.5 renders.
Faith is almost certainly out of your league. She's a musician and gymnast, who dreams of running away to join Cirque du Soleil (and almost certainly will). She was born during golden hour. She’ll take you camping on the beach, then wear a leather jacket over a loose-fitting top and somehow make it impossibly cool. As I said: she is almost certainly out of your league.
To use this embedding with the Automatic1111 web UI, save the downloaded file to /embeddings/faithlastnamesd15.pt, and then include the trigger word faithlastnamesd15 in your prompt. (All of the sample images have full prompt metadata, and are straight out of Standard Diffusion - no upscaling, inpainting, or img2img was used.)
Faith is the sixth member of the LastName family, for anyone who wants a consistent character for their SD 1.5 renders.
Faith is almost certainly out of your league. She's a musician and gymnast, who dreams of running away to join Cirque du Soleil (and almost certainly will). She was born during golden hour. She’ll take you camping on the beach, then wear a leather jacket over a loose-fitting top and somehow make it impossibly cool. As I said: she is almost certainly out of your league.
To use this embedding with the Automatic1111 web UI, save the downloaded file to /embeddings/faithlastnamesd15.pt, and then include the trigger word faithlastnamesd15 in your prompt. (All of the sample images have full prompt metadata, and are straight out of Standard Diffusion - no upscaling, inpainting, or img2img was used.)
Julia is the second in my NBDY series for anyone who wants a consistent character for their renders.
Julia 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.
Julia has light skin, thick eyebrows, blue/grey eyes, and brown/red brown 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-julia-sd15.pt, and then include the trigger word nbdy-julia-sd15 in your prompt.
Inspired by Zovya'sNobody series. Be sure to check out other contributions to the Nobody tag.
Julia is the second in my NBDY series for anyone who wants a consistent character for their renders.
Julia 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.
Julia has light skin, thick eyebrows, blue/grey eyes, and brown/red brown 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-julia-sd15.pt, and then include the trigger word nbdy-julia-sd15 in your prompt.
Inspired by Zovya'sNobody series. Be sure to check out other contributions to the Nobody tag.
