diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000000000000000000000000000000000000..55cab133643a2a73e083373d2106533678d0edd5 --- /dev/null +++ b/.gitattributes @@ -0,0 +1,58 @@ +*.7z filter=lfs diff=lfs merge=lfs -text +*.arrow filter=lfs diff=lfs merge=lfs -text +*.bin filter=lfs diff=lfs merge=lfs -text +*.bz2 filter=lfs diff=lfs merge=lfs -text +*.ckpt filter=lfs diff=lfs merge=lfs -text +*.ftz filter=lfs diff=lfs merge=lfs -text +*.gz filter=lfs diff=lfs merge=lfs -text +*.h5 filter=lfs diff=lfs merge=lfs -text +*.joblib filter=lfs diff=lfs merge=lfs -text +*.lfs.* filter=lfs diff=lfs merge=lfs -text +*.lz4 filter=lfs diff=lfs merge=lfs -text +*.mlmodel filter=lfs diff=lfs merge=lfs -text +*.model filter=lfs diff=lfs merge=lfs -text +*.msgpack filter=lfs diff=lfs merge=lfs -text +*.npy filter=lfs diff=lfs merge=lfs -text +*.npz filter=lfs diff=lfs merge=lfs -text +*.onnx filter=lfs diff=lfs merge=lfs -text +*.ot filter=lfs diff=lfs merge=lfs -text +*.parquet filter=lfs diff=lfs merge=lfs -text +*.pb filter=lfs diff=lfs merge=lfs -text +*.pickle filter=lfs diff=lfs merge=lfs -text +*.pkl filter=lfs diff=lfs merge=lfs -text +*.pt filter=lfs diff=lfs merge=lfs -text +*.pth filter=lfs diff=lfs merge=lfs -text +*.rar filter=lfs diff=lfs merge=lfs -text +*.safetensors filter=lfs diff=lfs merge=lfs -text +saved_model/**/* filter=lfs diff=lfs merge=lfs -text +*.tar.* filter=lfs diff=lfs merge=lfs -text +*.tar filter=lfs diff=lfs merge=lfs -text +*.tflite filter=lfs diff=lfs merge=lfs -text +*.tgz filter=lfs diff=lfs merge=lfs -text +*.wasm filter=lfs diff=lfs merge=lfs -text +*.xz filter=lfs diff=lfs merge=lfs -text +*.zip filter=lfs diff=lfs merge=lfs -text +*.zst filter=lfs diff=lfs merge=lfs -text +*tfevents* filter=lfs diff=lfs merge=lfs -text +# Audio files - uncompressed +*.pcm filter=lfs diff=lfs merge=lfs -text +*.sam filter=lfs diff=lfs merge=lfs -text +*.raw filter=lfs diff=lfs merge=lfs -text +# Audio files - compressed +*.aac filter=lfs diff=lfs merge=lfs -text +*.flac filter=lfs diff=lfs merge=lfs -text +*.mp3 filter=lfs diff=lfs merge=lfs -text +*.ogg filter=lfs diff=lfs merge=lfs -text +*.wav filter=lfs diff=lfs merge=lfs -text +# Image files - uncompressed +*.bmp filter=lfs diff=lfs merge=lfs -text +*.gif filter=lfs diff=lfs merge=lfs -text +*.png filter=lfs diff=lfs merge=lfs -text +*.tiff filter=lfs diff=lfs merge=lfs -text +# Image files - compressed +*.jpg filter=lfs diff=lfs merge=lfs -text +*.jpeg filter=lfs diff=lfs merge=lfs -text +*.webp filter=lfs diff=lfs merge=lfs -text +# Video files - compressed +*.mp4 filter=lfs diff=lfs merge=lfs -text +*.webm filter=lfs diff=lfs merge=lfs -text diff --git a/README.md b/README.md new file mode 100644 index 0000000000000000000000000000000000000000..69eaecd246803db53cc44aaea676e19e9aa1f257 --- /dev/null +++ b/README.md @@ -0,0 +1,89 @@ +--- +configs: +- config_name: dataception + data_files: + - path: dataception.parquet + split: train + default: true +license: odc-by +task_categories: +- text-to-image +tags: +- training +pretty_name: Dataception +--- + +# Dataset Card for Dataception + +Dataset of datasets. + +## Dataset Details + +### Dataset Description + +Dataception is a dataset of image-text training datasets. + +Datasets were collected from CivitAI. Thanks to all the users who curated the original datasets and shared them ❤️ + +Datasets have been processed and converted into WebDataset format. + +To ensure consistent format `.png` images are re-encoded to `jpg` with 90% quality and `.jpeg` extension renamed to `.jpg`. + +Contents of each WebDataset are named with zero-filled sequence number e.g. `00000.txt`. + +Each dataset is accompanied by the original model metadata in `.json` format. + +#### Notes + +Some datasets were excluded from this release: + +- If multiple subdirectories containing image-text pairs were detected; this structure is used in some training UIs to denote multiple concepts. These datasets will be reviewed to determine appropriate processing into WebDataset format. +- If no image-text pairs were detected. These datasets will be reviewed to determine whether captions are in the filenames or just not available. +- If the file is not actually a `.zip`; some cases of `.rar` files have been detected which is unsupported by `zipfile` library that the current processing script uses. +- If the `.zip` uses an unknown compression type that is unsupported by `zipfile` library. This excludes `deflate64` (used by Windows), which is unsupported by default, thanks to patching from `zipfile_deflate64` library. +- Both cases of unsupported files will be processed at a later date. + + +**Curated by:** hlky + +**License:** Open Data Commons Attribution License (ODC-By) v1.0 + +## Dataset Structure + +### Dataception + +- **id**: Model ID. +- **name**: Model name. +- **baseModel**: Base model used for the original training. +- **nsfwLevel**: Content rating for the original model and dataset. +- **dataset_wds**: Path to the WebDataset. +- **dataset_json**: Path to the `.json` metadata. + +### Individual datasets + +`WebDataset` with `.jpg` and `.txt`. + +## Uses + +Potential uses include: + +- Training practice; easily compare your result to the original model. +- Retraining; with modern tooling and newer base models. + +# Citation Information +``` +@misc{Dataception, + author = {hlky}, + title = {Dataception}, + year = {2024}, + publisher = {hlky}, + journal = {Hugging Face repository}, + howpublished = {\url{[https://huggingface.co/datasets/bigdata-pw/Dataception](https://huggingface.co/datasets/bigdata-pw/Dataception)}} +} +``` + +## Attribution Information +``` +Contains information from [Dataception](https://huggingface.co/datasets/bigdata-pw/Dataception) which is made available +under the [ODC Attribution License](https://opendatacommons.org/licenses/by/1-0/). +``` \ No newline at end of file diff --git a/dataception.parquet b/dataception.parquet new file mode 100644 index 0000000000000000000000000000000000000000..c14cb75e08c4fe6dbae520a87886fcb594a149cf --- /dev/null +++ b/dataception.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:775bfcf4a681bf4ae7957275119acfeb1c601984f07d5eae059222de725f105a +size 160212 diff --git a/datasets/100006.tar b/datasets/100006.tar new file mode 100644 index 0000000000000000000000000000000000000000..f324ef64d49e7b824a82f5614784d45f69fa8777 --- /dev/null +++ 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currently out of comfort zone testing different training parameters.

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78 samples from official only (I crop some samples for preventing multiple people)

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40 cherry-picked images from danbooru, 10 steps per image, epoch 2

hair ribbon, twintails, brown eyes keywords should be self-explanatory

Trained on grapefruitv4

twintails can be put into negatives too

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V2

Changes(?)

Dataset Changes

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Dataset Changes

Settings Changes:

Improvements:

Issues:

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\u7d20\u6750\u589e\u52a0\u52304\u591a\u5f20\uff0c\u57fa\u672c\u4e0a\u8863\u670d\u90fd\u6709\u4e86\uff0c\u73b0\u5728\u8138\u4e0d\u662f\u90a3\u4e48\u5947\u602a\u4e86\uff0c\u4e5f\u6bd4\u8f83\u8fd8\u539f\uff0c\u4f46\u662f\u5982\u679c\u6709full body\u7b49\u8bcd\u7684\u8bdd\uff0c\u8138\u5c31\u53c8\u5947\u602a\u8d77\u6765\u4e86

Usage:lumi, 1girl, simple background, bare shoulders, school uniform, short sleeves, face, dress, full body, skirt, midriff, blue shirt, chinese clothes, rabbit ears, black background, black dress, pleated skirt, sitting, necktie, long sleeves, black socks, purple skirt, cat ears

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Impacts:

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Usage

Use the trigger word: \"FurryStyle\" along with the LoRA to activate it.

You can usually get the color of fur you want by simply prompting it right after the trigger word.

Example prompt:

FurryStyle pink snake <lora:FurryStyle:1>

Recommended weights: 0.7-1.8, most weights are just fine!

Recommended sampler: Euler-a, DPM++ 2M Karras

Recommended steps: 20+

Tips & Tricks

Useful keywords for the prompt:

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The first release of made of earth ai, i am amazed at how well this turned out! so this one might not be updated, but i might try to make a sub lora with different styles like, jagged rocks, cut stone (like bricks idk)

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Made of delftware's first release! turned out really well! probably will make a world of delftware when i figure it out!

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About:

Note:

Features:

Issues:

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I also updated the captions. That didn't help with the artifacts her nose ring causes, however.

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Changelog

Recommended Usage

Noted Impacts:

Issues:

Workarounds:

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This one was a pain to do.. thats why it took so long to upload it :p

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turned out well enough!

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This SD 1.5 model gives more detail to your Origami prompts, so still put the word Origami in your prompts, Origami your world with this LoRA enjoy making everything into Origami. .5-1 will get the character to have Origami clothes generally, 1-1.5 will start changing the surroundings into Origami. I personally found it worked well with Cyborg, Mecha, Steampunk and Cyberpunk Styles SDXL, but I am sure it will work well with others as well. Enjoy creating.

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Trained with official CivitAI Lora trainer with 16 epoch set up.

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\"The through version\" of adding a full turnaround of swimsuit and underwear. It's not explicitly better compared to V1.1. It has better consistency than 1.1 but it's not perfect. V1.1 could be better than 2.0. This was uploaded to maintain research notes/ be fully through

Recommended Weight: 0.8 ~ 1

Issues:

Other:

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This came before our recent LoRA but after the gambit one. MAY re-train or may do a new one not sure.

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This version has a problem with putting the head out of frame to focus on the outfit. To avoid this put 'head out of frame' in the negatives. This version does a good job with the concept, and I'll revise it soon with more training data to hopefully make it a bit more flexible with scenery, and faces. AT the moment does tend to make burlap walls in the background I'm hoping If I expand training data that can be removed in the next update try putting 'wall' and 'burlap wall' in the negatives for now. This model was trained on WarriorMama777's abyss orange mix 3 from huggingface.

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Using images generated with V1, V2 now has expanded training data and destroys backgrounds less as well as does not put the head out of frame for burlap outfits.
V2 has a more difficult time doing a single burlap item unlike version 1 that can have a normal and a burlap item at the same time.
If asked to improve it more would try to make it be able to do more half burlap half normal items easier and include more hair colors in data set, at the moment tends to lean towards black and brown. This model was trained on WarriorMama777's abyss orange mix 3 from huggingface.

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i never said anything.

now just use the better dataset i set up as i make V2 high res edition :) (or another style if making this new version is harder)

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The LAION-5b dataset, which SD 1.5 is trained on contains already a significant number of images created in the 1700s by Giovanni Battista Piranesi:

however, their resolution, tagging and chopping is all over the place, this model reinforces the concepts and art style based on high quality 1024 full-sized images without borders text and descriptions from the original artworks of Giovanni Battista Piranesi. they are based on high quality scans by the University of Tokyo library in the Kamei Collection. the images have been properly tagged and perfectly chopped as well as edited to remove numbers and comments and text embedded in the images.

The resulting checkpoint is now available in its first iteration. I\u2019m also uploading the training data if you like to pick up where I stopped. LoRa version is also coming.

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Fixing the minor flaws in the Lowrise Jean Model i made.
Im Super New At These but willing to learn so feel free to leave tips in the comments!

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Cleaned up the dataset and expanded it a bit. Restarted training from Zero.

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Entirely trained on midjourney outputs. You shouldn't need an instance prompt but if you WANT a certain style try things like: Bubble, Ornament, maybe even try it with a girl inside? Not sure how that works yet!

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This version (1.1 Alternative Merge), is a merge of 3 of the LoRAs in our shared collaboration project. It is not trained separately, just merged.

It's a merge of Halloween Tech, Halloween Ghostly, and Halloween Glowing Style.

It gives a bit different result than the separate training one, so I decided to upload it here.

Each trigger word is separate for each of the 3 styles merged. You can try them out separately, or alltogether.

Prompt example with a random order of activation using the Dynamic Prompts extension:

<lora:h4l0w3n5l0w5tyl3:1> {halloweenglowstyle halloweentech hwghostly|hwghostly halloweenglowstyle halloweentech|halloweentech hwghostly halloweenglowstyle|h4l0w3n5l0w5tyl3|} cup of coffee

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Retrained from scratch on a better-selected dataset than v. 1.0. Works very well with SD 1.5 base model, but I noticed the model has overfit on smiles in a disconcerting way because I didn't tag lipstick colours in the dataset captions.

(This should be fixed in 2.1 when I can retrain the model overnight.)

This version does best on close-up through to cowboy shots using a LORA strength of 1. For full-body images, using inpaint for improved facial detail is recommended, as well as giving the prix trigger word higher emphasis.

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This version uses the same training data, but is has the color captioned in it.

Its more of a sidegrade than an earlier version. I find that it listens to color changing prompts a bit better than the regular model.

Example prompt:
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test edition

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This model similar to the version 2 has difficulty doing half and half outfits, and still has difficulty with hair colors (if anyone knows a good hair color lora let me know). I do like this lora and am surprised at how good it does with making everything burlap so if there are any items in particular that it has trouble with let me know I'll see what I can do (nothing too complex please).
*credits to throwawayjm for the button gap lora

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Training run 12, epoch 000008

Dataset 8

Images

Tagging

Training

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XL Lora trained with a dataset of 80 images.

10 epoch 6 repeats.

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This generates the Fortuny Delphos dress, first released in 1907. You can make most colors. . This is the second version of this Lora. The first is here: Fortuny - v1.0 | Stable Diffusion LoRA | Civitai

I wanted to group it together with the other Edwardian dresses so that people could find them together. They give very similar results.

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Trained on Civitai Trainer
An attempt to expand the book image.

https://civitai.com/images/3507510

32dim ver

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Trained on Civitai Trainer only
An attempt to expand the book image.

https://civitai.com/images/3507510

64dim ver + dataset

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This is epoch 20 of the woman with apple model. It's well trained but less flexible than the earlier epochs.

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Tested on the following models:

futanariFactor_alphaV10 - Probably the best consistent results across varying weights and prompts, regardless of futanari presence.

meinahentai_v4 - Main testing ground, decent model for mixing with other LoRAs.

monstercock_v15 - Had one success, most of the time ended up with either extra floating or merged together penises.

hrl_32 - Decent results when mixed with other LoRA, especially if okay with cartoonization instead of realism. Low weights like 0.3-0.5 didn't seem enough, but anything 0.8 and above was frightening, and 1.0 was a quick jaunt to hell.

I plan on making another version with cropping out stamps and text in hopes of getting better generation

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This is the one with a woman and a man dancing.

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For verison 3, I revised the training, renaming the instance to just \"b0dysu1t, and changing the tokens to generic \"bodysuit\" and \"harness\". I also added in a bunch of images of just the bodysuit, so that the body suit could be used alone or with the harness.

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"2023-11-26T13:23:20.205Z", "availability": "Public", "nsfwLevel": 1, "description": "

Used the same dataset as used [here](https://civitai.com/models/102948/bowser).

It's my first try to use training service on civitai.

Recommended Settings is filled randomly.

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Kind of rough. The dimensions and alpha are too high to be flexible to take the clothing style into other environments. Produces ornate images that look pretty cool.

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This Version is more general, therefore not as close to the original alita.
Finetuned this on more variable poses/images of alita. Training data added here. Works great with the sunshine mix model from civitai (sunshinemix_sunlightmixPruned.safetensors).
The lora is not trained on NSFW images, I just used it with some NSFW Loras to generate those images.

Using both versions of this lora at the same time with low strength gave also good results. Worked well in combination with some different other loras. But the lora strengths have to be adapted to get better results depending on the image.

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This lora was the first version I got to recognize her hair including the tiny braid that goes over her left shoulder. It was my first attempt at applying different weights to the training data. Not as compatible with other lora as I would like but can be done when playing with percentages. and it does accidently make her top black you may want to add the prompt 'red shirt' if this is a continuous problem. Her bandaged arm is not perfect but at least in this version it is doable. Recommendations to improve are appreciated.
-Tron TI from piratekitty

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first version. doesn\u00b4t seem to need any improvement. It won\u00b4t really get better than this. But I consider making a normal map version as well.

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\u2139\ufe0f The dataset included 180 images created by members of the Red Team, and submitted to the Holiday Images Week 1.
\u2139\ufe0f Trigger word: raging reindeer style

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Initial version

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XL version 1.0

I think this one is underperforming quite a bit. I'll likely retrain it.

Somehow the file size is through the roof. Sorry about that.

Use weights around 0.75 for it. I haven't tuned in the SDXL parameters yet.

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XL version 1.0

Use weights around 0.75 for it. I haven't tuned in the SDXL parameters yet.

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Trained on 700+ images of Oozora Subaru.

I merged some tags, which turned out nicely, but I forgot to delete a bunch of bad images. All the training data is available if you're interested.

Works well at weight 1.

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We hit 1000 downloads, posting the final version. I've been using it for a few days and am getting the best compatibility across different models and LoRA combinations. I'm including the training dataset in case anybody wants to take it and attempt to improve it, but I'm moving on to other work from here.

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Remade from scratch

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This version is trained without pruning captions, so it needs a lot of trigger words to create Liselotte consistently. It tends to work less consistent without hair bow in particular.

Trained with NAI (12 epochs x 18 images x 15 steps), examples generated with AOM3a1.

All examples used openpose contronets and upscaled with multidiffusion plugin.

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Extremely limited data for now, so I couldn't add the transformed look.

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Fixed hair bow captions in dataset (white hair bow -> white bow, hair bow) as NAI with clip skip 2 doesn't seem to understand that white hair bow is white bow rather than white hair, it was spoiling previous version. Actually noticed it before previous release with red bow but forgot to change captions with white bow as well.

Also, changed LR scheduler in training settings from constant to cosine. (with prodigy optimizer)

It's more accurate with 7 epochs compared to 8 epochs in previous version.

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I don't even know why i got this file, i asked it for a LoRA :(

works way better than the LoRA it gave me though. Keep in mind this isn't actually a LoRA so you have to select it as a model.

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\ud83d\ude80 What's New?

\ud83c\udf1f Improved Version 2.0: Step into the future of AI modeling with the Chris Hemsworth Model: Enhanced Edition. Our latest release, Version 2.0, takes the digital representation of the Hollywood icon to new heights, refining and elevating the experience.

\ud83d\udd27 Enhancements Beyond Compare: Trained with an extensive dataset of 400 high-quality images and undergoing 10 maximum epochs, the Enhanced Edition ensures unparalleled accuracy and attention to detail. Every pixel is a testament to the dedication to perfection in bringing Chris Hemsworth to life in the digital realm.

\ud83c\udfad Fine-Tuned Features: Witness the magic of stable diffusion technology as we've meticulously configured and fixed features, striking the perfect balance between realism and artistic interpretation. The Enhanced Edition captures Hemsworth's essence with an even greater level of precision, portraying the nuances that make him the epitome of Hollywood charm.

\ud83d\udd04 Subject Similarity: Our commitment to authenticity reaches new heights in Version 2.0. Sample images generated by the model now exhibit an uncanny resemblance to the subject, allowing you to explore Chris Hemsworth's charisma in a digital format that feels remarkably authentic.

\ud83d\udd7a\ud83c\udffb\ud83d\udcac New Poses and Expressions: Prepare to be captivated by an array of fresh poses and expressions that showcase the versatility of the Chris Hemsworth Model: Enhanced Edition. From subtle smirks to intense gazes, we've added a variety of dynamic poses and expressions to enhance your digital experience.

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\u7b2c\u4e00\u7248\u672c\uff0c\u4ec5\u4f7f\u7528\u4e09\u5f20\u56fe\u7247\u8bad\u7ec3\uff0c\u76ee\u524d\u6548\u679c\u7f3a\u5c11\u5de6\u8fb9\u87ba\u65cb\u53d1\u56fe\u7247\uff0c\u6b63\u60f3\u529e\u6cd5\u89e3\u51b3

\u624b\u52d5\u6dfb\u52a0\u94bb\u5934\u53d1\u6548\u679c\u4fee\u6b63:

sidelocks, drill hair, twin drills, \u4fa7\u9501\uff0c\u94bb\u5934\u53d1\uff0c\u53cc\u94bb\uff0c

\u7c21\u55ae\u4eba\u7269\u89f8\u767c\u8a5e:

kazamachi yamai, 1girl, orange hair , gray blue eyes,hair between eyes, large breasts, sidelocks, drill hair, twin drills,long hair,

\u5f81\u6c42\u4f1a\u4e0a\u8272\u56fe\u7247

demo\u56fe1 tag

kazamachi yamai, 1girl, skirt, breasts, solo, long hair, jacket, bra, underwear, shirt, school uniform, black jacket, open clothes, orange hair, cleavage, pleated skirt, red ribbon, looking at viewer, blue skirt, large breasts, open mouth, purple bra, white shirt, open jacket, neck ribbon, ribbon, blazer, miniskirt, drill hair, long sleeves, cowboy shot, partially unbuttoned, collared shirt, hair between eyes, arm behind head, fang, :o, arm up, bra peek, gray blue eyes

demo\u56fe2 tag

kazamachi yamai, solo, breasts, 1girl, long hair, large breasts, gloves, open mouth, cleavage, white background, fingerless gloves, simple background, smile, looking at viewer, orange hair, thighhighs, lock, cape, floating hair, garter straps, hair between eyes, gray blue eyes

demo\u56fe3 tag

kazamachi yamai, 1girl, solo, long hair, fingerless gloves, gloves, scarf, breasts, full body, smile, looking at viewer, orange hair, boots, garter straps, simple background, white background, thighhighs, elbow gloves, black gloves, armored boots, cleavage, standing, black scarf, gray blue eyes

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LoCon trained with the same image set and number of steps as LoRA. Superior with both quality and fidelity from what I can see in generated images.

If hands are bad, easynagative embedding with value >1 can help a lot without decreasing quality.

I recommend 0.6-0.7 weight.

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Recommended weight: 0.7-1.0

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Rank 8 SDXL LoRA (Just 56 MB) Trained with CivitAI's LoRA trainer

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Same as the other one but trained with Ip Noise Gamma supposedly it would require less steps and produce better images. It looks exactly the same to me but get both of them and compare.

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Trainning By the image madefrom inkpunkdiffusion model

Trainning Data include

Example Fig by https://civitai.com/models/1540/unstableinkdream

V7.3

Still like this kinde of style

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Finally here comes a huge leap.

Trained & strongly suggested to use on KanPiroMix dicovered yesterday https://civitai.com/models/24591/kanpiromix. A great change on training method as well (thanks a lot to @ultimatepiggy 's guidance), which took much longer than before and ran out my Colab GPU hours. I cannot train any LoRA models for a while then lol.

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Suggested model:

https://civitai.com/models/139562?modelVersionId=268861

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Probably not the best, I'm still learning and experimenting with LoRAs. I just thought this seemed \"good enough\" to upload somewhere.

Outfit changing is probably not possible easily due to limited training data. (they're all trained on her original attire on this version.)

I forgot to put _Release1 in the file name, I think. Oops. Subsequent versions (if any) shouldn't have this issue.

Training Details (w/ bmaltais/kohya_ss)

Base checkpoint trained on: animefull-final-pruned (NAI)

14 images (See Training Data file), 30 repeats, 2 epochs (840 steps?)

Learning Rate: 0.00032

LR Scheduler: Cosine w/ Restarts

Text Encoder LR: 0.00008

U-Net LR: 0.00032

Network Dim: 128

Alpha: 64

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# Venice #Carnival #Cathedral Square # Assassin's game, super beautiful, super realistic image, Venetian Carnival mysterious and magical, mesmerizing and amazing, people in costumes and masks, super detail, clear quality, colorful image, high resolution, people dancing in squares in luxurious carnival costumes, and the main characters from the festive - harlequins, Pierrot, Pantaloons on the streets of the city, charming Columbine and fantastic harlequin, Louis Wayne, Catherine Abel, Gediminas Prantskevicius, fantastical, beautiful, with high detail, ultra-detailed, clear, high-quality, colorful, high resolution H.R. Giger, insanely detailed and intricate, golden ratio, hypermaximalism

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#chic Venetian costumes,jewelry, masks, for men and women #Venice carnival mask # Venice #Carnival #Cathedral Square # Assassin's game, super beautiful, super realistic image, Venetian Carnival mysterious and magical, mesmerizing and amazing, people in costumes and masks, super detail, clear quality, colorful image, high resolution, people dancing in squares in luxurious carnival costumes, and the main characters from the festive - harlequins, Pierrot, Pantaloons on the streets of the city, charming Columbine and fantastic harlequin, Louis Wayne, Catherine Abel, Gediminas Prantskevicius, fantastical, beautiful, with high detail, ultra-detailed, clear, high-quality, colorful, high resolution H.R. Giger, insanely detailed and intricate, golden ratio, hypermaximalism, metallic brains, dark fantasy movie still, style by Anne Stokes, style by William J. Glackens, film photography, cinematic lighting, , bokeh, hyperrealistic, over-detailed fantasy art; elegant, complex, detailed works by Daniel F. Gerhartz, Gustave Dore, H.R. Giger, Tom Bagshaw, Junji Ito, biomorphic plan in the style of H.R. Giger, insanely detailed and intricate, golden ratio, hypermaximalism, ideal shapes of bodies, faces, clothes and masks \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0435

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version 0.1

Siberian city Novosibirsk famous places fo sdxl:

  • airport tolmachevo

  • NOVAT, theater of opera and ballet,

  • lenin's square

  • red prospect

  • local history museum

  • ob river embankment, metromost bridge

  • NIIZHT, Novosibirsk Institute of Railway Transport Engineers

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Reduced color saturation

retrained on Anythingv3, 30 epochs

Generates slightly subdued colors

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Seems over baked. I've gone back in epochs and the effect persists. I recommend only using this if you're interested in making a merge.

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alpha/rushed version 0.1. Will improve in the future.

1. Caption data is not perfect. In the next version I intend to caption rear facing feet/heels and the colors(clear, black, red, pink, etc), but thats going to take quite a long time since there are 800 pics in the training data.

2. Next version I will cull low quality images in training data, and cull heels that do not match with overall data.

3. Since this is an early alpha I have put a lot of restrictions on it, no onsite generation, need to be logged in to download, etc etc etc. I will remove most restrictions when Ive felt like Ive perfect it, or when im satisfied with the lora being the final version.

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trained on Anythingv3 with clip skip:2

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initial version. Recommend about 0.7 weight, with close to 1 it will likely generate random slime somewhere.

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NSFW model to create open dress images

Use the following settings to get best results

CFG Scale : 2.0

Steps: 45

Clip skips: 1

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added triggers

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Use at weight 1, might need hires fix to look nice.

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init commit

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init commit

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This is a Locon. You probably need the extension in A1111.

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1.0 of Native American World

works best from 0.6 to 1.0

this was NOT trained on colours but you might be able to get them at a push

try combining with Navimixu's and MNeMiC's world morphs or Konicony's ai's, or if your feeling more WILD try out Donmischo's Billions of wildcards!

I use navimixu's method of pictures, 512x512 with hires of 1.5, img2img with a resolution of 1024x1024

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Made with 117 images of Iofi. Works at weight 1.

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Download the dataset if you're interested.

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Trained on ponydiffusionXL. I know it was already trained in the model this is for blending.

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This model performs really well with the SD1.5 base model.

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"nsfwLevel": 11, "description": "

Made with 89 images of Kaela Kovalskia. Works at weight 1.

Download the dataset if you're interested.

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NOTE: This lora is far from finished. The first iteration of this lora is simply to get the training data out there for people that are on the fence with lora training, gathering the data is the hardest part. The primary gem here is the training data, its taken me a hundred hours of work to gather up this data and crop them all. It should help others ease their suffering in future vagina Lora training endeavors.

Early alpha, use 0.3 strength for full body pics and higher for closeups/inpainting. Overtrained lora, I think 10k steps is far too many steps I think; may have cauased overfitting effect and network dimension: 32 was too low. I will retrain at less than 5k steps and 64 network dim on next attempt and see how it turns out. Unfortunately there is no \"META\" for training a lora, you just gotta gamble and experiment. I failed this time, will try again later.

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Initial version testing out the prompt inversion method

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"availability": "Public", "nsfwLevel": 1, "description": "

This one took me a while until I was satisfied enough to post here, I've been experimenting and stuff.

Improvements:

File size 4 times smaller than Release 1!! (dim = 128 -> 32)

Better at retaining artstyle of the base checkpoints used to generate \u2206.

More consistent outfit details. Notably, conveys the translucency of her jacket better, and the \"power button\" mark on the torso of her jacket.

Limitations:

Stockings still may be plain black instead of blue + pink. Adding (mismatched stockings:1.15) to your positive prompt mitigates this.

Tails may appear uncontrollably. Adding (tail, mechanical tail:1.1) to negative prompt may help, but they aren't captioned in the training data. Maybe I should have so they could be separated. Will probably be fixed in Release 3.

Her weapon may appear uncontrollably. This is tagged though, so adding (weapon, sword, holding, holding weapon, holding sword:1.1) to negative prompt mitigates this, but it's not perfect.

From the viewer's perspective, the right side of her jacket may not be black, and instead gets colored white at times. This is gacha and not controllable.

Some limitations with H content due to training dataset all being SFW.

Training Details (w/ bmaltais/kohya_ss; see Training Data File for full LoRA training parameters extracted with kohya-ss/sd-webui-additional-networks)

Trained on: nai.ckpt (925997e9)

Training Batch Size: 2

LR: 0.0007, UNet LR: 0.0007, TE LR: 0.000175, Scheduler: Cosine w/ Restarts

Epochs: 3, Dim: 32, Alpha: 16, Resolution: 512x512, Clip Skip: 2

*EasyNegative in the example images is an embedding from here.

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This is the initial release of Cum XL. I will continue to refine this with more images and improved captioning.


Sample captions used for training:

  • Color-associated region in two identical side-by-side photographs of a naked woman laying on a bed with cum between her breasts and on her stomach. Trimmed pubic hair. The magenta region is cum.

  • Color-associated region in two identical side-by-side photographs of a woman sitting on a bed with cum on her chest and the upper part of her breasts. The magenta region is cum.

  • Color-associated region in two identical side-by-side photographs of an asian woman wearing glasses with cum on her breasts. The magenta region is cum.

  • Color-associated region in two identical side-by-side photographs of a topless woman with cum on her chin and on her chest. The magenta region is cum.

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Please give me feedback on any errors

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kellne

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"https://civitai.com/api/download/models/348090", "modelId": 310142} \ No newline at end of file diff --git a/datasets/metadata/348116.json b/datasets/metadata/348116.json new file mode 100644 index 0000000000000000000000000000000000000000..4c1734e9e6dcc742968ddb5677b5682f3697c2ff --- /dev/null +++ b/datasets/metadata/348116.json @@ -0,0 +1 @@ +{"id": 348116, "index": 0, "name": "HITMAN \ud83d\udc80", "baseModel": "SDXL 1.0", "baseModelType": null, "publishedAt": "2024-02-17T20:41:09.215Z", "availability": "Public", "nsfwLevel": 1, "description": "

Hitman\ud83e\udee5

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This is trained on the same dataset from version 1.1, but single photos were added instead of only the side-by-side images. This version may be over-trained, so try dialing back the weight depending on what base model you are using. Here are some sample captions that were used during training:

  • Photo of a naked woman with blonde hair. She has small breasts. There is cum dripping off of her mouth and chin and on to her chest. She has hard nipples.

  • Photograph of a woman with dark hair and an open mouth. She is pushing her breasts together with her hands. Her nipples are pierced. She has cum on her right breast. She is in a bedroom and sitting on a bed. She has medium sized breasts.

  • Photograph of a naked woman laying on a white bed. She has cum on her small breasts and inbetween her breasts. Her nipples are hard. She has light brown hair. Her mouth is open.

  • Close up photograph of a woman's pussy. Trimmed pubic hair. Cum is dripping out of the vaginal opening and onto the bed.

  • Close up photograph of a woman's face covered in cum. Cum on her cheeks. Cum on her lips. Cum on her chin. Shoulder length dark hair. Wearing eye shadow and dark eye liner.

You can download the dataset and see the captions and images for yourself.

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This is my first model train, and it sure needs more work and fine tuning so please, try it, come back to leave your experience with it, good or bad that\u2019s feedback !

I am not sure about the clip skip settings, so let me know ! ;)

..and I will definitely improve it !

Many thanks !

Peace.

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Certainly not a final version.

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\u66f4\u5c0f\uff0c\u66f4\u7075\u6d3b\uff0c\u4e5f\u8bb8\u6548\u679c\u66f4\u597d\u3002

Smaller, more flexible, perhaps yielding better results.

\u8bf7\u89c6\u60c5\u51b5\uff08\u548c\u89c6\u89d2\uff09\u9009\u62e9\u89e6\u53d1\u8bcd\uff1a

Please choose trigger words based on the context (and perspective).

\u89e6\u53d1\u8bcd (Trigger word)\uff1a

kirino \\(blue archive\\)

\u5934\u90e8\u89e6\u53d1\u8bcd (Head trigger words)\uff1a

braid, twin braids, long hair, hairclip, hair between eyes, bangs, ahoge, hat, multicolored hair

\u4e0a\u534a\u8eab\u89e6\u53d1\u8bcd (Upper body trigger words)\uff1a

white gloves, blue necktie, long sleeves, armband, white jacket, badge, holster, belt, cylindrical objects attached to belt, belt pouch

\u4e0b\u534a\u8eab\u89e6\u53d1\u8bcd (Lower body trigger words)\uff1a

white boots, skirt, black pantyhose

\u6211\u60f3\u77e5\u9053\u600e\u4e48\u5728\u540c\u4e00\u4e2a\u89d2\u8272lora\u4e2d\u653e\u5165\u4e24\u5957\u670d\u88c5\u3002\u5982\u679c\u60a8\u613f\u610f\u5206\u4eab\u76f8\u5173\u6559\u7a0b\uff0c\u6211\u4f1a\u975e\u5e38\u611f\u6fc0\uff01

I want to know how to put two costumes of the same character in one LoRa. I would greatly appreciate it if you could share any relevant tutorials!

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Some issues in Release 2 are addressed~!

The training images are the same, but captions isn't. Also moved one image to a lower repeat folder.

Improvements (vs. Release 2):

Tail generation is more controllable with prompts

Slight improvements to outfit accuracy

Slightly more consistent background

Controllable Limitations:

She may have short hair. I don't know why this happens, but adding (long hair:1.25) mitigates this.

Stockings still may be plain black instead of blue + pink. Adding (mismatched stockings:1.15) to your positive prompt mitigates this.

Tails may appear uncontrollably. Adding (tail, mechanical tail:1.15) to negative prompt mitigates this.

Her weapon may appear uncontrollably. Adding (weapon, sword, holding, holding weapon, holding sword:1.15) to negative prompt mitigates this.

Uncontrollable Limitations:

From the viewer's perspective, the right side of her jacket may not be black, and instead gets colored white at times. This is gacha and not controllable.

Some limitations with H content due to training dataset all being SFW.

Training Details (w/ bmaltais/kohya_ss; see Training Data File for full LoRA training parameters extracted with kohya-ss/sd-webui-additional-networks)

Trained on: nai.ckpt (925997e9)

Training Batch Size: 2

LR: 0.0007, UNet LR: 0.0007, TE LR: 0.000175, Scheduler: Cosine w/ Restarts

Epochs: 3, Dim: 32, Alpha: 16, Resolution: 512x512, Clip Skip: 2

*EasyNegative in the example images is an embedding from here.

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This version can reproduce Rose, but cannot change anything in she's look. Also it didn't capture asymmetry.

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Trained on 687 images of Ina, 131 of her priestess outfit with 3 repeats, 115 of her beret outfit with 3 repeats, 77 of her kimono outfit with 5 repeats, 17 of her white jacket outfit with 20 repeats, and 347 general images with 1 repeat.

Works at weight 1.

Download the dataset if you're interested.

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This is the lite version of the LoRA. It is less than half the size of the original and does not cause noticeable loss in quality (see example).

I recommend using the version over the normal version.

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Second try. Not sure if better. I might need to be more selective in my images.

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"hash": "UIHeLM~q-;IA%1tRtRsmxv-qf9t7XARj%2%N", "type": "image"}], "downloadUrl": "https://civitai.com/api/download/models/372108", "modelId": 332145} \ No newline at end of file diff --git a/datasets/metadata/372251.json b/datasets/metadata/372251.json new file mode 100644 index 0000000000000000000000000000000000000000..a52c0a38c2918c5c06fa9202dc5a088d7e75fa93 --- /dev/null +++ b/datasets/metadata/372251.json @@ -0,0 +1 @@ +{"id": 372251, "index": 0, "name": "v2.0beta", "baseModel": "Pony", "baseModelType": null, "publishedAt": "2024-03-03T14:22:32.113Z", "availability": "Public", "nsfwLevel": 13, "description": "

v2.0beta\u4e3b\u8981\u7528\u4e8e\u751f\u6210\u201c\u6cf3\u88c5\u201d\u548c\u201c\u5076\u50cf\u201d\u4e24\u5957\u670d\u88c5\uff0c\u751f\u6210\u201c\u8b66\u670d\u201d\u8bf7\u4ecd\u4f7f\u7528v1.1\u3002

v2.0beta is mainly used to generate \"swimsuit\" and \"idol\" outfits. Please continue to use v1.1 for generating \"police uniform\" (or \"nude\").

\u7531\u4e8e\u5076\u50cf\u670d\u7684\u6570\u636e\u96c6\u8fc7\u5c11\uff0c\u6ca1\u80fd\u6210\u529f\u8fd8\u539f\u53d1\u578b\uff0c\u4f46\u9664\u6b64\u4ee5\u5916\u7684\u6548\u679c\u90fd\u51fa\u4e4e\u610f\u6599\u5730\u597d\u3002

Due to the limited dataset for idol outfits, I was unable to successfully replicate the hairstyles, but apart from that, the results were unexpectedly good.

\u9057\u61be\u7684\u662f\uff0c\u5b98\u65b9\u670d\u88c5\u53cd\u800c\u8fc7\u62df\u5408\u4e86\uff0c\u5982\u679c\u9700\u8981\u751f\u6210\u5b98\u65b9\u670d\u88c5\u6211\u5f3a\u70c8\u63a8\u8350\u4f7f\u7528v1.1\u3002\u5982\u679c\u8981\u4f7f\u7528v2.0beta\u751f\u6210\u5b98\u65b9\u670d\u88c5\uff0c\u8bf7\u5c06CFG Scale\u964d\u4f4e\u81f34.5\uff0c\u5e76\u914d\u5408lora block weight\u4f7f\u7528\uff1a<lora:NakatsukasaKirinoXL:0.8:0.8:lbw=1,1,1,1,1,1,1,1,1,0,0,0>\u3002

Unfortunately, the official costume \"police uniform\" seems to be overcooked. If you need to generate official costume, I strongly recommend using v1.1. If you still want to use v2.0beta to generate official clothing, please decrease the CFG Scale to 4.5 and use it with LoRa block weight extension: <lora:NakatsukasaKirinoXL:0.8:0.8:lbw=1,1,1,1,1,1,1,1,1,0,0,0>.

\u2014\u2014

\u6cf3\u88c5\u89e6\u53d1\u8bcd\uff08Swimsuit trigger words:\uff09\uff1a

kirino \\(swimsuit\\) \\(blue archive\\),

sandals, police hat, swimsuit, braid, blue bikini, side-tie bikini bottom, navel, twin braids, blue vest, blue headwear, open clothes, crop top, shirt, armband... megaphone, whistle...

\u2014\u2014

\u5076\u50cf\u670d\u662f\u4e00\u5957\u56fa\u5b9a\u670d\u88c5\uff0c\u53ea\u9700\u8981\u4e00\u4e2a\u89e6\u53d1\u8bcd\uff08The idol outfit is a fixed set of clothing, requiring only one trigger word\uff09\uff1akirino \\(idol\\) \\(blue archive\\)\u3002

\u589e\u52a0\u4ee5\u4e0btag\u4f1a\u4f7f\u7ed3\u679c\u66f4\u52a0\u7a33\u5b9a\uff08Adding the following tags will make the results more stable\uff09\uff1apink puffy short sleeves, pink bow, mismatched legwear, asymmetrical legwear, striped pink footwear, pink shoes\u3002

\u2014\u2014

\u6ce8\uff1a\u6211\u8bd5\u56fe\u91cd\u65b0\u8c03\u6574repeat\u503c\u6765\u907f\u514d\u5b98\u65b9\u670d\u88c5\u8fc7\u62df\u5408\u7684\u73b0\u8c61\uff0c\u5374\u5f71\u54cd\u4e86\u5176\u4ed6\u4e24\u5957\u670d\u88c5\u7684\u6548\u679c\u3002\u56e0\u6b64\uff0c\u6211\u6240\u63d0\u4f9b\u7684\u8bad\u7ec3\u96c6\u5e76\u975ev2.0beta\u4f7f\u7528\u7684\uff0c\u800c\u662f\u7ecf\u8fc7\u4e86repeat\u503c\u548c\u6781\u5c11\u91cf\u7684\u56fe\u7247\u7684\u8c03\u6574\u3002\u672a\u6765\u201c\u6850\u4e43\uff08\u5076\u50cf\u670d\uff09\u201d\u5b9e\u88c5\u540e\uff0c\u6211\u4f1a\u7ee7\u7eed\u66f4\u65b0\u8fd9\u4e2alora\u3002

Note: I attempted to readjust the repeat value to avoid overcooking of the official costume, but it affected the effectiveness of the other two sets of outfits. Therefore, the training set I provided is not the one used by v2.0beta, but rather has undergone adjustments to the repeat value and a minimal amount of images. After the implementation of \"Kirino (Idol)\" in the future, I will continue to update this LoRa.

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First version

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latex badend makes outfit more shiny.

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Trigger words: smolpp, small penis, flaccid penis

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evil visor being base trigger

<color> visor changes color of the glowing part.

wire visor adds wires from the visor to the ceiling. A little unstable atm.

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This is the lite version of the LoRA. It is less than half the size of the original and does not cause noticeable loss in quality (see examples).

I recommend using the version over the normal version.

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Training images with captions

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Blind attempt at training a character with medium-level details with AnimagineXL

-Observations

  • Trigger word is a hard requirement otherwise the LoRA will not work

  • Recommended Strength:1

  • Clothing is fully removable and easily swappable but prefers long and descriptive prompts

    • use best_quality,masterpiece,modern for ease of nsfw according to AnimagineXL documentation

  • Style keywords are usable but I'm not familiar with all of the related keywords with AnimagineXL

Overfitting

  • Anime Screencap artstyle is bleeding over into the environment details causing generation images to have overly flat backgrounds

  • may require words such as 'head_out_of_frame' and 'from_behind' in negative

  • There is still some level of style bleeding but I'm not completely familiar with how Animagine handles style keywords

  • Strong preference towards cowboy shots

  • some overfitting on face coloring

Undertrained

  • Waist ribbon may or may not appear

  • Doesn't seem to understand asymmetric so details can be flipped

  • Belt color is undertrained but is occasionally correct

  • Base outfit seems to lose detail when using other artstyles

Augmentations:

  • Img2Img ControlNet augmentation with Flat style lora and Add Detail LoRA

  • Swimsuit and underwear images

Notable Differences from SD1.5

  • Small rank compared to SD1.5 but SDXL has larger size overall

  • removed Style captioning to reduce overfitting of style

  • removed Manual Pose regularization data

  • Single Repeats folder for most of the data

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initial version

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Images made with LORA weight 1.0

Trigger word: pxint

Helpful positives: portrait, droplets, flowing, with a splash of paint, paint splash, multicolored, white border, from side, looking to the side, looking at viewer, COLOR and COLOR, splatter, bubble, swirling, sparkle, rim lighting

Adding colors you don't want to the negative prompt will help if you're constantly getting blue skin for example.

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guys don't use animagine xl since the face is not matching with gohan use animegod xl or aam xl

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First version. Still learning how this works lol.

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This is a fictional character created by me. Any resemblance to persons living or dead is purely coincidental.

Please if you use this LORA, share the result, I am very interested in seeing what people do with it.

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Some tags have been removed from example images metadata as apparently civitai cannot distinguish gothic lolita from l-word. Attached dataset contains txt2img examples with metadata left intact.

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This was a test to see what a 1 picture LORA (created here on civitAI) could do.

It was my first time and many mistakes were made (eg I created the picture with an SDXL model and then I trained a SD1.5 LORA with it!!).

I accidentally published epoch 1; my intention was to test it and then replace it and test again etc... however, after publishing epoch 1 all of the others disappeared (I'm sure I was prompted along the way, assuring me that my other epochs would remain available??).

Luckily I downloaded a few of the epochs before publishing - now I have to figure out how to update the LORA without wasting another 500 Buzz!!

Anyway, my failed attempt still makes it quite easy to get some consistent results - so it wasn't a total waste!

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This is my very first model so I have no idea what I am doing

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Download the dataset if you're interested.

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"nsfwLevel": 7, "description": "

I wanted to make it a little flexible:

  • you can remove either halo or headphones. Doesn't generate Noa consistenly anymore if you don't have either in prompt though in this version.

  • you can prompt for very long hair for canon hair length, long hair (possibly very long hair in negative) for slightly shorter or short hair

  • default outfit works with school uniform, open jacket. You can try removing open jacket, might need to specify having pantyhose or white skirt.

  • gym uniform similar to Yuuka's: track jacket, open jacket, off-shoulder, buruma

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final~

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new file mode 100644 index 0000000000000000000000000000000000000000..35e1142c916b508724c40ea17c4466bcd1ae7c00 --- /dev/null +++ b/datasets/metadata/395473.json @@ -0,0 +1 @@ +{"id": 395473, "index": 1, "name": "v1.0", "baseModel": "Pony", "baseModelType": null, "publishedAt": "2024-03-16T19:30:32.023Z", "availability": "Public", "nsfwLevel": 7, "description": "

You need to prompt for either two side up or ponytail.

school uniform or gym uniform should be enough for her outfits, both have optional open jacket. Might need to prompt for belt in default outfit.

sticker on face for star sticker on Yuuka's face... It doesn't work good as I trained with flip augmentation forgetting about this one thing that is asymmetrical. Will fix it when I have opportunity.

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Other outfits are much more flexible, art style might also be more flexible

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First, it was trained with onetrainer and masked training. Dataset also included group pictures and monochrome illustrations.

About prompting:

  • liselotte should be enough for the character herself. Might need blue hair, blue eyes (probably due to a lot of monochrome images in dataset now) and sidelocks

  • Her usual dress is pruned conveniently into default outfit. Might need to specify hair bow, black skirt for more consistency.

  • If you don't want hair bow, put it in negatives.

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Usage:

c41_zenit_kodakgold + prompt

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Lora trained with the model PonyXL

images = 54

Resolution = 1024x1024

Problems:

  • Sometimes the eyelashes don't look very good

  • In models that are not very good at creating chibi characters, the faces may not look as good

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Should be feasible to make more accurate skull in the middle of the skirt. Prompting didn't change, check previous version's description.

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prueba

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Added trigger words.

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Basic prompt: luka .

Put headphones either in positive or negative prompt for consistency in either way.

default outfit for vocaloid2 outfit, vocaloid4 outfit for vocaloid4 outfit.

Outfits' consistency is quite meh tbh, I'd need to make dataset more consistent to improve that.

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Addresses some attire issues from Release 1~3!!

Improvements (vs. Release 3):

Stockings now appear blue and pink much more reliably

The right side of her jacket (from viewer's perspective) is now black much more reliably

Trigger Words

Put (long hair, mismatched stockings:1.15) in positive prompt, and (weapon, sword, holding, holding weapon, holding sword, tail, mechanical tail:1.5) on negative prompt

This is not required but seems to yield better results.

Training Details (compared to Release 3)

The training images are the same, but one image was flipped horizontally, and another was moved to the lower weight folder. Also weight for the higher weight folder increased a little.

Training Parameters

(w/ bmaltais/kohya_ss; see Training Data File for full LoRA training parameters extracted with kohya-ss/sd-webui-additional-networks)

Trained on: nai.ckpt (925997e9)

Training Batch Size: 2

LR: 0.0007, UNet LR: 0.0007, TE LR: 0.000175, Scheduler: Cosine w/ Restarts

Epochs: 3, Dim: 32, Alpha: 16, Resolution: 512x512, Clip Skip: 2

*EasyNegative in the example images is an embedding from here.

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Not as good as I would've hoped...

Will probably train a new one in the future.

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V1.0

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Works at weight 1.

Trained with 839 images of Uruha Rushia. 200 of her default blue dress outfit, 100 of her pink hair and black dress outfit, 95 of her nekomimi and black dress outfit, 49 of her crown and black dress outfit, 89 of her school outfit, 50 of her bikini outfit, 20 of her idol outfit (10 screenshots, 5 artworks and 5 flipped), 19 of her white hoodie outfit, 17 of her kimono outfit, and 200 random images. These were balanced so that it's around 200 images per folder including repeats.

You can download the dataset if you're interested.

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SDXL Version of LaDy_IceQ

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This is the initial release. The training data is provided for this version. Here are some sample captions used during training:

  • marge simpson, 1girl,solo,breasts,shirt,cleavage,medium breasts,blue hair,upper body,short sleeves,teeth,colored skin,parody,clenched teeth,flat color,yellow skin

  • marge simpson, 1girl,solo,simple background,dress,blue hair,standing,full body,pantyhose,boots,hand on hip,colored skin,white footwear,black background,afro,yellow skin,orange skin

  • marge simpson, 1girl,solo,jewelry,sitting,blue hair,necklace,black eyes,book,colored skin,plant,beads,potted plant,flat color,afro,yellow skin,cactus

  • marge simpson, 1girl,solo,smile,dress,jewelry,blue hair,glasses,teeth,necklace,window,colored skin,parody,green dress,yellow dress,pearl necklace,afro,yellow skin

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Made with artificial dataset created with initial version.

darkmel for character, darkmel-armor for the default outfit. Also, headgear, hairband, halo, wings can be activated or not. Works well with 0.6-0.8 strength, I recommend using 0.8 for txt2img and 0.6 for upscaling the most.

Some details (shape of hairband, feathers on pauldron, halo being black) might require higher strength to get consistently.

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ask in the comments for more dinosaurs references :D

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This is my very first LoRA, so feedback and instructions is greatly appreciated

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XD I still use Clip skip two, so just - whatever works for you is A OK for me :3

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READ POST

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Belongs to: A-BlueDeer

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Made with 612 images of Nene; 200 of her official (main) outfit, 95 of her original (china) outfit, 100 of her casual outfit, 17 of her kimono outfit, and 200 generic images.

Download the dataset if you're interested.

Works at weight 1.

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clothes trigger word (for upper body)

gremory, hat with veil, fur trim, choker, necklace, breasts, black long dress, gloves

negative prompt: overlay blue skirt with gold chain

clothes trigger word(for full body,not stable)

gremory, hat with veil, fur trim, choker, necklace, breasts, black long dress, gloves, overlay blue skirt with gold chain balt

clothes trigger word(for without the hat and veil)

fur trim, choker, necklace, breasts, black long dress, gloves, overlay blue skirt with gold chain balt

negative prompt: hat with veil,gremory, fur trim(recommanded or you need kemonomimi girl

you may change the hair style

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First model. expect lots of bugs and errors since i don't know what i'm doing

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Trained with the OnSite LoRa Generator.
Created using over 200 Pics.

To be honest, Depending on the Letter/number, It doesn't work that well, but I spend 3 days making it, so... Just try it out i guess.

Print-X* should print the Letter on the clothes.
Number-0* should print the number on the clothes.

*replace with desired Number/Letter

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Trained with the OnSite LoRa Generator.
Created using over 200 Pics.

Print-X* should print the Letter on the clothes.
Number-0* should print the number on the clothes.

*replace with desired Number/Letter

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  • Winter Uniform

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"baseModel": "Pony", "baseModelType": null, "publishedAt": "2024-04-23T06:59:56.884Z", "availability": "Public", "nsfwLevel": 28, "description": "

2nd version hopefully it will improve it

Used to have the character sit on pov's lap in two different ways and trained to cum in four different ways.

For squat sitting add the prompt squatting to any of the examples below. (E.g: Sitting on lap, no penetration, squatting)

Default

Sitting on lap, no penetration (prompt vagina on show if you want the vagina visible)

Sex

Sitting on lap, penetration

Sex creampie

Sitting on lap, creampie

Sex x-ray

Sitting on lap, x-ray

Sex x-ray creampie

1.

Sitting on lap, Internal creampie (might need to add multiple dick heads, more than one tip To negative prompt)

2.

Sitting on lap, creampie x-ray

You might need to add facing away, looking back to the prompts if it's struggling to keep the pose.

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", "trainedWords": ["golden eyes", "red hair", "scales", "skirt", "t-shirt"], "stats": {"downloadCount": 147, "ratingCount": 12, "rating": 5, "thumbsUpCount": 12, "thumbsDownCount": 0}, "files": [{"id": 34713, "sizeKB": 5053.7314453125, "name": "\u0410\u0440\u0445\u0438\u0432.zip", "type": "Training Data", "pickleScanResult": "Success", "pickleScanMessage": "No Pickle imports", "virusScanResult": "Success", "virusScanMessage": null, "scannedAt": "2023-04-15T18:27:07.460Z", "metadata": {"format": "Other", "size": null, "fp": null}, "hashes": {"AutoV1": "B0711FDA", "AutoV2": "B8C91CDF57", "SHA256": "B8C91CDF570B25942C2E77334A2F5BDC02FBA9215A8549AA9933FB5ABE46B646", "CRC32": "CC8B8D31", "BLAKE3": "1385F87FDD8D8F5B019F47E3FC68EA71F493EB1B103D0499E57F965CB92A7001"}, "downloadUrl": "https://civitai.com/api/download/models/46557?type=Training%20Data"}, {"id": 34714, "sizeKB": 36977.646484375, "name": "nisha-40.safetensors", "type": "Model", "pickleScanResult": "Success", "pickleScanMessage": "No Pickle imports", "virusScanResult": "Success", "virusScanMessage": null, "scannedAt": "2023-04-15T18:27:10.565Z", "metadata": {"format": "SafeTensor", "size": null, "fp": null}, "hashes": {"AutoV1": "0BFB0C35", "AutoV2": "B17F0014E4", "SHA256": "B17F0014E4C656AD0190FCDA3F5FCC0538888AA0B33FC4632B5FEA0DC70C7494", "CRC32": "F2B1DE1E", "BLAKE3": "888B02866D20616921E6299E083A8491D6DAE2A52C6FDCD09F2A891D15538ECB", "AutoV3": "68F9F3CA7D96"}, "downloadUrl": "https://civitai.com/api/download/models/46557", "primary": true}], "images": [{"id": 503388, "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/43636f35-0ee7-4e7d-f65b-3c9995afb200/width=450/503388.jpeg", "nsfwLevel": 8, "width": 640, "height": 960, "hash": "UNJuMzVs5px]yGs;ozXS.QWFM{NHx{WnWoog", "type": "image"}, {"id": 503387, "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/f03bb2be-0bc8-4395-3bb6-89b7a2105a00/width=450/503387.jpeg", "nsfwLevel": 2, "width": 640, "height": 960, "hash": "UQIE@Q?buOaKpfNy%N-p$msmIUR%MzInt7o1", "type": "image"}, {"id": 503389, "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/6c87c10a-44ab-4465-f044-65239b2a6f00/width=450/503389.jpeg", "nsfwLevel": 1, "width": 640, "height": 960, "hash": "UFHoXqOvL3b{p39FRjxtD%MwR4aK9F-;acS5", "type": "image"}, {"id": 503435, "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/88629087-4361-429e-6505-a97973b55f00/width=450/503435.jpeg", "nsfwLevel": 8, "width": 640, "height": 960, "hash": "UML4KYr?PV%g_4Rjo#tRDit7M_WA?bt7WBe.", "type": "image"}, {"id": 503439, "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/9103d124-fb14-4f12-d8d8-699769daa800/width=450/503439.jpeg", "nsfwLevel": 8, "width": 960, "height": 640, "hash": "UAFr|d^~0vcYKBMx~To%yYNY?Gs=51tS=}M#", "type": "image"}], "downloadUrl": "https://civitai.com/api/download/models/46557", "modelId": 41805} \ No newline at end of file diff --git a/datasets/metadata/465593.json b/datasets/metadata/465593.json new file mode 100644 index 0000000000000000000000000000000000000000..607e11453e82d844dfd59fd4b1c172b7d1c9c3e1 --- /dev/null +++ b/datasets/metadata/465593.json @@ -0,0 +1 @@ +{"id": 465593, "index": 0, "name": "Senna | League of Legends", "baseModel": "Pony", "baseModelType": null, "publishedAt": "2024-04-24T16:40:18.689Z", "availability": "Public", "nsfwLevel": 28, "description": "

Version 0.1

My first attempt at creating LORA

", "trainedWords": ["1girl, dark skin, green eyes, black dreadlock", "black top, long black gloves, white hooded cape, black pants", "Senna"], "stats": {"downloadCount": 183, "ratingCount": 0, "rating": 0, "thumbsUpCount": 37, "thumbsDownCount": 0}, "files": [{"id": 384540, "sizeKB": 28446.7421875, "name": "465593_training_data.zip", "type": "Training Data", "pickleScanResult": "Success", "pickleScanMessage": "No Pickle imports", "virusScanResult": "Success", "virusScanMessage": null, "scannedAt": "2024-04-24T15:41:19.854Z", "metadata": {"format": "Other"}, "hashes": {"AutoV1": "C4F3ACF6", "AutoV2": "A518D8CBD7", "SHA256": "A518D8CBD7F9DC62F2B2119C5EFFC51C14E2BEBBE49D82047F26EE2CB61C255D", "CRC32": "6F5FA285", "BLAKE3": "EA4A269A9DE4129C4256F57AE8758DD6480A42292CE94FB8E55831167B0D697E"}, "downloadUrl": "https://civitai.com/api/download/models/465593?type=Training%20Data"}, {"id": 384593, "sizeKB": 223102.65234375, "name": "Senna__League_of_Legends-000007.safetensors", "type": "Model", "pickleScanResult": "Success", "pickleScanMessage": "No Pickle imports", "virusScanResult": "Success", "virusScanMessage": null, "scannedAt": "2024-04-24T16:25:48.828Z", "metadata": {"format": "SafeTensor"}, "hashes": {"AutoV1": "F8D99D32", "AutoV2": "C9D6051CFD", "SHA256": "C9D6051CFD564BD0802D8B6741B4940AB171F2AF33B2876A3549F3B5C2ECE2F3", "CRC32": "24577668", "BLAKE3": "D81483BE49266B8AD9CB516C82DBD48215A20121EA94FD6CD5E23DF959427676", "AutoV3": "FCA2285E832D"}, "downloadUrl": "https://civitai.com/api/download/models/465593", "primary": true}], "images": [{"id": 10648271, "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/ece7ddce-1c24-463b-9a84-94cc1a6e11f8/width=450/10648271.jpeg", "nsfwLevel": 1, "width": 1024, "height": 1024, "hash": "UAAJ$r0LMx~W?IkDWEs:9axYxuE2ERn#RiS5", "type": "image"}, {"id": 10648267, "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/32ddb85a-b031-45b0-9e97-8dfeb4a7b657/width=450/10648267.jpeg", "nsfwLevel": 2, "width": 832, "height": 1216, "hash": "UE7-]GI9%it7.TRPkDozRikCROkDjYV?Rijt", "type": "image"}, {"id": 10648269, "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/43370e5a-48ca-4d5e-9f70-53130b49f8b1/width=450/10648269.jpeg", "nsfwLevel": 1, "width": 832, "height": 1216, "hash": "UC9tv000.A-=?vIUf,t6x^RPMxt6.TRiV?tR", "type": "image"}, {"id": 10648270, "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/f62e9a76-c3cd-4e8c-9738-109c54e9e814/width=450/10648270.jpeg", "nsfwLevel": 1, "width": 832, "height": 1216, "hash": "U78XOp^I-;%i-;%2t8j?9EIpM{WA?dogI9bd", "type": "image"}], "downloadUrl": "https://civitai.com/api/download/models/465593", "modelId": 417923} \ No newline at end of file diff --git a/datasets/metadata/465820.json b/datasets/metadata/465820.json new file mode 100644 index 0000000000000000000000000000000000000000..66f66891b09c6bc2159926536ed570526bf5d5fa --- /dev/null +++ b/datasets/metadata/465820.json @@ -0,0 +1 @@ +{"id": 465820, "index": 0, "name": "v1.1 pony", "baseModel": "Pony", "baseModelType": null, "publishedAt": "2024-04-24T18:32:45.961Z", "availability": "Public", "nsfwLevel": 30, "description": "

Simplified prompting.

Base prompt is just <color> visor, e.g. pink visor. To make it glow, add glowing visor. Also wire-visor to add wires and headphones to add headphones.

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tagged and trained with my recent workflow, should be better than previous version.

0.9-1 weight

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Brand new

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I used training tags to specify things like standing, sitting, bent over, as well. (Also a couple with doing laundry, doing dishes, putting on her shoes, at school- idk if those will do anything though)

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bw-chair is base prompt. For more consistency, I recommend to always prompt for spread legs too.

Add restrained to make arms and legs restrained to the chair.

Add sex machine for vaginal penetration.

Strength of 0.6 should be enough.

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Initial, experimental version, made with a limited artificial dataset.

Trigger word is: latex-servant. You can also try putting color before it e.g. red latex-servant. And if you want a gem, <color> evil-gem e.g. pink gem.

I left outfit elements unpruned, so include them all in the prompt: crop top, pencil skirt, elbow gloves, thighhighs.

It tends to affect backgrounds significantly and push the style to 2.5d atm. Keep weight low, 0.6 should be enough.

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Used to give characters a drunk appearance with the option to have them drooling.

Prompts

Drunk, woman

Drunk, woman, drooling

Drunk, man

Drunk, man, drooling

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Trained in OneTrainer with similar parameters but also with masks.

Advantages compared to v0.1:

  • doesn't seem to spoil hands with upscaling

  • doesn't seem to affect background as much

Disadvantages:

  • <color> evil-gem tends to color hair if hair color is not specified. Previous version tended to color eyes instead though.

Prompting didn't change compared to v0.1, look at it.

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prompts

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Start version

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Removed score_9 from captions and tweaked some traning params, should affect style much less now.

Also, sticker on face should work okay now.

Other than that, prompt didn't change since previous version.

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Made it more reliable, more flexible and affecting style (or ruining hands) less. At cost of bigger prompt.

black badend-bodysuit, badend-tiara, red frills, red skirt, red gem, you can replace red with other colors. badend-bodysuit can be colored too but it's not as reliable and it works best if frills and skirt have the same color.

Add latex bodysuit to make it more shiny, it looks better than in previous version imo.

badend-tiara might need to be put into negatives to make it less likely to appear anyway.

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Trained with 771 images of Gura. 200 images of her hoodie outfit, 183 images of her neko outfit, 39 images of her atlantis outfit, 60 images of her red alter ego, 50 images of her kimono outfit, 199 random images, and 40 images with her unofficial shark print bikini.

Works at weight 1 but might need hires fix for the face and teeth. Download the dataset if you're interested.

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  • Summer Uniform

school uniform, yellow vest

  • Winter Uniform

school uniform, blue blazer
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Uploading it just because I've already prepared post. Version 2.0 should be better in most cases though.

Removed score_9 from captions and increased some repeats for pictures without halo and/or headphones.

Should affect style less now and generating without both halo and headphones is feasible now.

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No changes

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Removed some images that were too inconsistent and fixed some mistakes in captioning.

It's much more reliable overall.

ushio noa is basic prompt. Also headphones, halo, very long hair for her usual appearance and school uniform, open jacket, white shirt, black pantyhose for her usual outfit.

track jacket, open jacket, buruma for track outfit. long hair or short hair for alternative hair length.

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Big update everyone! with the simple version I was able to with the right prompts generate pictures with grabbing different body parts. So I made new training data with these pictures and now it should be much easier to do so in this version. Also added buttjob to doggy style and mating press as an additional position

For missionary

Leg positions trained

  • Legs spread

  • Legs down

Missionary legs spread trained grabs

  • arm grab

  • breast grab

  • leg grab

  • torso grab

  • no grab

Missionary legs down trained grabs

  • arm grab

  • breast grab

  • torso grab

  • no grab

For mating press

Trained grabs

  • breast grab

  • leg grab

  • torso grab

For doggy style

Trained grabs

  • arm grab

  • butt grab

  • torso grab

For doggy style Buttjob

Trained grabs

  • arm grab

  • butt grab

  • torso grab

All the positions have been trained with the prompt creampie except for buttjob that uses cumming instead.

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MDUBFB alone makes football players... Should've put a number or two in there- I'm still learning lol

Tags:

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From behind,

Facing away, looking back,

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"baseModelType": "Standard", "publishedAt": "2023-04-18T06:13:28.583Z", "availability": "Public", "nsfwLevel": 3, "description": "

Holy shit this took 4 tries to get right. Trained with 590 images of Amelia Watson; 190 images of her detective outfit, 100 images of her casual outfit, 60 images of her formal outfit, 40 images of her kimono outfit and 200 generic images.

Download the dataset if you're interested.

Works at weight 1 but might need hires fix sometimes.

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The model is now pay to download. So any profit from my model can go to help pay for hosting and system updates.

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This will be the only version because the lora is already the way I imagined it.

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Early version so hopefully it will be stable enough.

This is a sex position Lora for pov cowgirl with 3 trained positions

Prompts

Pov cowgirl, leaning back,

Pov cowgirl, leaning forward,

Pov cowgirl, leaning forward, arms forward,

Creampie,\u00a0 (works with any of the prompts above)

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Initial release -- there are various other training runs with different results. I'm including the training set for those interested in tweaking the model. I only ask that you reference this model as a source/inspiration and provide proper accreditation for the images/training.

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This is an initial test version to see if it can produce consistent generations of my original character.

I've realized that this model has a VERY annoying tendency to put a disembodied torso at the base of the image, and I'll have to do something to remedy that. This is a test model after all \ud83e\udd37\u200d\u2642\ufe0f

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Primera versi\u00f3n de Maika Yoshikawa(Magikano)

  • Mi formula usando Dreambooth:

Teniendo en cuenta el umbral recomendado1000/1500 para anime,

  1. 42 imagenes entre 1500= 35 x 42 =1470 steps/epocas + 35 num_repeats(repeticiones)

  2. El resto de la configuraci\u00f3n es por defecto de Dreambooth

  3. Modelo base: animefull-final-prunedfp16 (

  4. Nework_Dimm: 16 Nework_Alpha 8, Conv_dim: 8 Conv_alpha: 4

  5. Bath Size: 2, flip_aug: activado, mezclar tags: activado

  6. Aprendizaje unet: 5e-4

  7. Aprendizaje text encoder: 1e-4

  8. Scheduler: Cosine_with_restart

  9. Valor de Scheduler: 3 Min_SNR_gamma: enabled/activado

  10. Calentamiento: 0,05

La mayor\u00eda de la configuraci\u00f3n es la que vendr\u00e1 por defecto en Dreambooth Train Lora, ;P

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this is my very first Lora, I used the civitai website for the whole thing.

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V1

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for summer outfit: Pengy, small breast, blue eyes, blonde, short hair, twintails, blue bikini,
for new outfit use: goggles on head, white jacket, white leotard, belt, thigh strap,
for any other costume use: Pengy, small breast, blue eyes, blonde, short hair, twintails,

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Please do give feedback on this.

", "trainedWords": ["Vermillia", "Elf rat hybrid", "Elf ears", "White chest", "Orange body fur", "Rat tail", "Dark orange hair", "Knight armor", "white chest and face", "human face"], "stats": {"downloadCount": 59, "ratingCount": 0, "rating": 0, "thumbsUpCount": 15, "thumbsDownCount": 0}, "files": [{"id": 412950, "sizeKB": 83780.037109375, "name": "494968_training_data.zip", "type": "Training Data", "pickleScanResult": "Success", "pickleScanMessage": "No Pickle imports", "virusScanResult": "Success", "virusScanMessage": null, "scannedAt": "2024-05-09T05:26:12.324Z", "metadata": {"format": "Other"}, "hashes": {"AutoV1": "501F809B", "AutoV2": "9D68FE9A8C", "SHA256": "9D68FE9A8C53EC024FADD043065CF3C18F15108CA6F8EF5550EAC988AF6CEF34", "CRC32": "71AA2251", "BLAKE3": "0A4CEB22D300272C5CDD86ECB495C5162F61597C39AF239DA0C5A07DCA99DB0D"}, "downloadUrl": "https://civitai.com/api/download/models/494968?type=Training%20Data"}, {"id": 413175, "sizeKB": 223104.43359375, "name": "Vermillia_OC_TEST_No.2.safetensors", "type": "Model", "pickleScanResult": "Success", "pickleScanMessage": "No Pickle imports", "virusScanResult": "Success", "virusScanMessage": null, "scannedAt": "2024-05-09T08:56:20.985Z", "metadata": {"format": "SafeTensor"}, "hashes": {"AutoV1": "A1D55DEB", "AutoV2": "73EB1C9245", "SHA256": "73EB1C924537E12E0FEE4EB00E835523A9D2983744AA9E36AF752C52F8308084", "CRC32": "D957F012", "BLAKE3": "8F2A050A186FFF4DA454026A80F6E50BB8259F4AB921C9FA272781308E79D497", "AutoV3": "8E294339899E"}, "downloadUrl": "https://civitai.com/api/download/models/494968", "primary": true}], "images": [{"id": 11953965, "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/e5e8f8c0-174f-4c8a-a594-1f2133f7610e/width=450/11953965.jpeg", "nsfwLevel": 4, "width": 832, "height": 1216, "hash": "UYJ@:zIq~q%L%MWCIps:NyWBIVaetSoJoLWC", "type": "image"}, {"id": 11953651, "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/b67e5481-24ff-418c-8c41-365e391f5a8b/width=450/11953651.jpeg", "nsfwLevel": 4, "width": 832, "height": 1216, "hash": "UCI4keEQyr^j~qE1^+-oIo-oWAIpE4s:9us:", "type": "image"}, {"id": 11953900, "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/ddd2eb6d-17d1-4998-acb5-cddd3ca50290/width=450/11953900.jpeg", "nsfwLevel": 8, "width": 832, "height": 1216, "hash": "UHMi4r~B00Z#00R*7MV@?bENOstR4nnOS$WV", "type": "image"}, {"id": 12186013, "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/8e919be6-c37c-41bd-b76b-412f3df223c3/width=450/12186013.jpeg", "nsfwLevel": 16, "width": 832, "height": 1216, "hash": "UEK^B94nC,^*Axm,%#EP9t$fJ6l958%MNex[", "type": "image"}, {"id": 11953899, "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/d8aeef6c-1ed6-4b9a-9c41-90ac88550909/width=450/11953899.jpeg", "nsfwLevel": 4, "width": 832, "height": 1216, "hash": "UMKK4oNxUH-o%gnOkWn$X8s9XmWqn+XTi^Rk", "type": "image"}, {"id": 11953536, "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/17a239f7-43bf-49d4-ba72-8ef9c7cf3030/width=450/11953536.jpeg", "nsfwLevel": 4, "width": 1024, "height": 1024, "hash": "UpM5aoo|NIt7}?W:M|W;FxsmnOjFkCbHWVn%", "type": "image"}], "downloadUrl": "https://civitai.com/api/download/models/494968", "modelId": 444473} \ No newline at end of file diff --git a/datasets/metadata/495203.json b/datasets/metadata/495203.json new file mode 100644 index 0000000000000000000000000000000000000000..ecf4c8645d91228e243e696205c870443bfe5fc4 --- /dev/null +++ b/datasets/metadata/495203.json @@ -0,0 +1 @@ +{"id": 495203, "index": 1, "name": "V2.0(Dreambooth SD 1.5)", "baseModel": "SD 1.5", "baseModelType": null, "publishedAt": "2024-05-09T06:48:37.937Z", "availability": "Public", "nsfwLevel": 28, "description": "

Versi\u00f3n 2.0 de Ayumi Mamiya(Magikano)

  • Mi formula usando Dreambooth:

Teniendo en cuenta el umbral recomendado1000/1500 para anime,

  1. 1500 entre 58 imagenes = 25 x 58 =1450 steps/epocas + 25 num_repeats(repeticiones)

  2. El resto de la configuraci\u00f3n es por defecto de Dreambooth

  3. Modelo base: animefull-final-prunedfp16 (

  4. Nework_Dimm: 16 Nework_Alpha 8, Conv_dim: 8 Conv_alpha: 4

  5. Bath Size: 2, flip_aug: activado, mezclar tags: activado

  6. Aprendizaje unet: 5e-4

  7. Aprendizaje text encoder: 1e-4

  8. Scheduler: Cosine_with_restart

  9. Valor de Scheduler: 3 Min_SNR_gamma: enabled/activado

  10. Calentamiento: 0,05

Gracias y espero que lo disfruten ;D

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sexygirls v2 makeds enjoys

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first release of pizza world, tried a different way of useing the tags, it seemed to work better than the normal ones i use, might make the tags like that in the future idk,

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V1.0, I will test oki

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"width": 1024, "height": 1024, "hash": "U7IX%0OYLN#+.R%1009u00-o?cRkEKxt%LWF", "type": "image"}, {"id": 12812320, "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/99a14f3b-c67e-463a-a812-2cf60887c3b3/width=450/12812320.jpeg", "nsfwLevel": 1, "width": 1024, "height": 1024, "hash": "U8HL0m0M00_3^}9a4Tr=EgxZfAxu00?F_Nbv", "type": "image"}, {"id": 12812321, "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/3cc0e8fc-f8ac-4c33-9e2d-999cf15b14e8/width=450/12812321.jpeg", "nsfwLevel": 1, "width": 1024, "height": 1024, "hash": "UPI}Y9-oE*I;_Mg3IV%1xGs.I;IoS$ayi_s:", "type": "image"}, {"id": 12812324, "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/74b505f1-f7db-4091-8210-97455877dd25/width=450/12812324.jpeg", "nsfwLevel": 1, "width": 1024, "height": 1024, "hash": "UMG+8cE*EN-V_Mr?9aX8DjWBIVaeRjs:WBoM", "type": "image"}], "downloadUrl": "https://civitai.com/api/download/models/496810", "modelId": 446133} \ No newline at end of file diff --git a/datasets/metadata/496841.json b/datasets/metadata/496841.json new file mode 100644 index 0000000000000000000000000000000000000000..417f4d97049b7afac4e8f8459d05e72331317c36 --- /dev/null +++ b/datasets/metadata/496841.json @@ -0,0 +1 @@ +{"id": 496841, "index": 2, "name": "Pov Blowjob + Titjob + Handjob", "baseModel": "Pony", "baseModelType": null, "publishedAt": "2024-05-10T10:25:53.584Z", "availability": "Public", "nsfwLevel": 16, "description": "

Early version

It has only been trained with one character and background, hopefully that doesn't effect it to much. I intend to add more pictures to the training data but figured I might as well see how well it works currently

This is a sex position Lora for pov blowjob + titjob + handjob.

Prompts

Pov (nojob)

Pov

Pov, cumshot (add , breast or , face to the end if you want to direct the cumshot)

Pov blowjob

Pov blowjob (add , Shallow penetration or , deepthroat to change the depth)

Pov blowjob, creampie

Pov titjob

Pov titjob

Pov titjob, cumshot (add , breast or , face to the end if you want to direct the cumshot)

Pov titjob, blowjob (add , Shallow penetration or , deepthroat to change the depth)

Pov titjob, blowjob, creampie

Pov handjob

Pov handjob

Pov handjob, cumshot (add , breast or , face to the end if you want to direct the cumshot)

Pov handjob, blowjob (add , Shallow penetration or , deepthroat to change the depth)

Pov handjob, blowjob, creampie

Examples

Pov titjob, blowjob, deepthroat, creampie

Pov handjob, cumshot, face

", "trainedWords": ["Pov, ", "Pov titjob, ", "Pov handjob, ", "cumshot, ", "breasts, ", "face, ", "Pov blowjob, ", "Pov titjob, blowjob, ", "Pov handjob, blowjob, ", "Shallow penetration, ", "deepthroat, ", "creampie, "], "stats": {"downloadCount": 1605, "ratingCount": 0, "rating": 0, "thumbsUpCount": 273, "thumbsDownCount": 0}, "files": [{"id": 414679, "sizeKB": 21338.796875, "name": "496841_training_data.zip", "type": "Training Data", "pickleScanResult": "Success", "pickleScanMessage": "No Pickle imports", "virusScanResult": "Success", "virusScanMessage": null, "scannedAt": "2024-05-10T00:56:17.338Z", "metadata": {"format": "Other"}, "hashes": {"AutoV1": "984556FA", "AutoV2": "AFC373C1E2", "SHA256": "AFC373C1E23343801254B6FE518C4BF7E743A96BB06BE7B31CF06F34B9306AEF", "CRC32": "DBEEB5FA", "BLAKE3": "5DCBB4B90B2136B927898CB93DA21828E76B0FC23BE8D6F168BC38000DE36BE8"}, "downloadUrl": "https://civitai.com/api/download/models/496841?type=Training%20Data"}, {"id": 415327, "sizeKB": 223099.26953125, "name": "Pov_Blowjob__Titjob__Handjob.safetensors", "type": "Model", "pickleScanResult": "Success", "pickleScanMessage": "No Pickle imports", "virusScanResult": "Success", "virusScanMessage": null, "scannedAt": "2024-05-10T09:30:51.084Z", "metadata": {"format": "SafeTensor"}, "hashes": {"AutoV1": "E3C59412", "AutoV2": "924EF2DF77", "SHA256": "924EF2DF770EA4AE0F88C9D208835E586E296A22A8F5CA353186D9238BC034EE", "CRC32": "CF3AF728", "BLAKE3": "90F7BB517294A3B6F983B177502E80B4538BA64CFF54E418B6CCEEAB4E6377CB", "AutoV3": "B32BC33EBD8C"}, "downloadUrl": "https://civitai.com/api/download/models/496841", "primary": true}], "images": [{"id": 12090607, "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/9c749165-f0ab-4651-b15c-2d45ff9ea02e/width=450/12090607.jpeg", "nsfwLevel": 16, "width": 832, "height": 1216, "hash": "UdJZ;_~VNuf5ShoLWARjxtt6RPf6axRkR+xa", "type": "image"}, {"id": 12090616, "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/f146f972-da4b-4f04-b9e6-325a04700f10/width=450/12090616.jpeg", "nsfwLevel": 16, "width": 832, "height": 1216, "hash": "UbI|zW~VS#WBS5t6t6NGxsxtRPae%Lt6M{s:", "type": "image"}, {"id": 12090615, "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/1ed87070-c806-4494-bc05-c8e8ca49c756/width=450/12090615.jpeg", "nsfwLevel": 16, "width": 832, "height": 1216, "hash": "U9IqDl00csr@6gRk^k%M}%%N01Na00tlMyIo", "type": "image"}, {"id": 12090606, "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/74711c44-e729-4b7e-abae-b74a296dccd9/width=450/12090606.jpeg", "nsfwLevel": 16, "width": 832, "height": 1216, "hash": "UfJG==~VOEWBNbj@oeNG%0j=M{e.j=j[WCt7", "type": "image"}, {"id": 12090612, "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/86d11abe-dfc9-4c12-8dbf-be6eb8dc66b2/width=450/12090612.jpeg", "nsfwLevel": 16, "width": 832, "height": 1216, "hash": "UaJ@F1~VS~t79]oe%LRkWTWAV?WBNFRkIVs:", "type": "image"}, {"id": 12090614, "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/d07a9ed4-1b22-4297-be06-f1cad3abb536/width=450/12090614.jpeg", "nsfwLevel": 16, "width": 832, "height": 1216, "hash": "UJKmb600AaM{TeM{%L%2~oaN9Gozozt64:Nt", "type": "image"}, {"id": 12050434, "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/1c5ddc3c-5574-4723-b3fe-4c80178f080f/width=450/12050434.jpeg", "nsfwLevel": 16, "width": 832, "height": 1216, "hash": "UVK12e-U=qWX*0s.xVR-%MNHEQW=RoNHI[xZ", "type": "image"}, {"id": 12050437, "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/4d88c601-5fd4-4cad-b4ed-b5ff6271b503/width=450/12050437.jpeg", "nsfwLevel": 16, "width": 832, "height": 1216, "hash": "USKmRx9a==t7.8t7-Sxa}=%2Els,xtRkI[NH", "type": "image"}, {"id": 12050433, "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/2be15021-1565-43ce-a09f-874870553b3a/width=450/12050433.jpeg", "nsfwLevel": 16, "width": 832, "height": 1216, "hash": "UOIg+c_N.SVXCAOtbwrq5Wt8RPxt%1oLr;X8", "type": "image"}, {"id": 12050301, "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/0e0426e0-7a7d-46aa-8c14-8815f21a0cc3/width=450/12050301.jpeg", "nsfwLevel": 16, "width": 1024, "height": 1024, "hash": "UMJjh@?b_MtS57%M?Gt79aRPIAnhD%RiRPWA", "type": "image"}, {"id": 12054285, "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/1c41ccd6-bf6b-45b3-978a-f46d2205030b/width=450/12054285.jpeg", "nsfwLevel": 16, "width": 832, "height": 1216, "hash": "UJJal#ohI7R*CmIqZfn$0noI4nxY9Fxs_1t6", "type": "image"}, {"id": 12054286, "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/ba501b8c-3a8b-4d4f-8d96-f785529c38c7/width=450/12054286.jpeg", "nsfwLevel": 16, "width": 832, "height": 1216, "hash": "UIKTxm?by?WT2^o~kWRi0KtT8_s*-;ksxC%L", "type": "image"}, {"id": 12054288, "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/8d608cd6-7b50-4f75-aec6-e819351a36b6/width=450/12054288.jpeg", "nsfwLevel": 16, "width": 832, "height": 1216, "hash": "UJIN~s~pS^9FC8XUROR5XUt84n$y?uNJ-O-n", "type": "image"}, {"id": 12054284, "url": 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0000000000000000000000000000000000000000..aa14d3dac6c8805de3f39c14162e876319b9a117 --- /dev/null +++ b/datasets/metadata/497127.json @@ -0,0 +1 @@ +{"id": 497127, "index": 0, "name": "Mpreg Model", "baseModel": "Pony", "baseModelType": null, "publishedAt": "2024-05-10T21:02:37.846Z", "availability": "Public", "nsfwLevel": 30, "description": "", "trainedWords": ["1boy", "pregnant", "huge belly"], "stats": {"downloadCount": 223, "ratingCount": 0, "rating": 0, "thumbsUpCount": 52, "thumbsDownCount": 0}, "files": [{"id": 415678, "sizeKB": 223108.06640625, "name": "Art_StyleZach_Sano.safetensors", "type": "Model", "pickleScanResult": "Success", "pickleScanMessage": "No Pickle imports", "virusScanResult": "Success", "virusScanMessage": null, "scannedAt": "2024-05-10T14:00:52.287Z", "metadata": {"format": "SafeTensor"}, "hashes": {"AutoV1": "25F61C88", "AutoV2": "059C83C64B", "SHA256": "059C83C64B109662FD22520E9A98C00A8FFAED4A37EB76705B5AEF5C0CFC81AD", "CRC32": "EA772B40", "BLAKE3": 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b/datasets/metadata/497231.json new file mode 100644 index 0000000000000000000000000000000000000000..ba4b634659858037969f8a02aa322c989532c52c --- /dev/null +++ b/datasets/metadata/497231.json @@ -0,0 +1 @@ +{"id": 497231, "index": 0, "name": "Zach Sano Style | BreedersDex (Pok\u00e9mon LoRa)", "baseModel": "Pony", "baseModelType": null, "publishedAt": "2024-05-10T20:51:23.352Z", "availability": "Public", "nsfwLevel": 10, "description": null, "trainedWords": ["Breedersdex", "belly tumor", "sketch", "alien dick", "tentacle dick"], "stats": {"downloadCount": 128, "ratingCount": 0, "rating": 0, "thumbsUpCount": 22, "thumbsDownCount": 0}, "files": [{"id": 415677, "sizeKB": 223109.31640625, "name": "Zach_Sano_Style__BreedersDex_Pok\u00e9mon_LoRa.safetensors", "type": "Model", "pickleScanResult": "Success", "pickleScanMessage": "No Pickle imports", "virusScanResult": "Success", "virusScanMessage": null, "scannedAt": "2024-05-10T14:00:14.119Z", "metadata": {"format": "SafeTensor"}, "hashes": 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Changed version to 1.0

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This is Part 2, I screwed up with the original posting of version beta, this should be a remedy

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Refer to the sample images for each character's hairstyle tag

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hard trained, Anythingv3, 768x768, 16/16 epoch

overtrained but generate dress and glowing eyes (yandere) a lot better.

Costumes that you may try to generate:

blue jacket (outdoor school uniform)

waitress uniform (working uniform)

sweater vest (blue sweater vest and green skirt)

green dress (light green and yellow dress)

white shirt (painter's room)

black dress (after bird incident)

black polo, cape (after coop with aunt)

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No score_9 in captions and a little less pruned default outfit.

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Uh, hehehe

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Thanks to TeaOM_903 for a good advice

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I used screenshots and a nude mod upscaled two times for my training data.

With this particular data the images have a 3-D look and the white background may not have helped with training

With looking closely at the in game model I did notice that the hands and feet are big compared to the default body size.

Hopefully some way I can get more training data to make it better and possibly generate normal 2-D images.

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Last go around of this lora

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Updated dataset

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Huge update! New version of Pov Sitting on Lap.

New prompts

Turning sideways

About to sit

About to sit on dick

Butt grab

Self butt grab

Leaning back

Buttjob

Cumshot

Current prompts

Sitting on lap

squatting

penetration

creampie

no penetration

vagina on show

facing away, looking back

Deleted prompts

x-ray

Internal creampie

creampie x-ray

I got rid of these prompts as they only seem to confuse the AI when generating x-ray pictures. I'm going to play around with generating images to hopefully find the right trigger words so the same effect is possible without the training images

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Better Eye quality, resulting in less facial distortion.

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first experimental version

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Hopefully all prompts are now working as intended

New version of Pov Sitting on Lap.

New prompts

Turning sideways

About to sit

About to sit on dick

Butt grab

Self butt grab

Leaning back towards pov

Buttjob

Cumshot

Current prompts

Sitting on lap

squatting

penetration

creampie

no penetration

vagina on show

facing away, looking back

Deleted prompts

x-ray

Internal creampie

creampie x-ray

I got rid of these prompts as they only seem to confuse the AI when generating x-ray pictures. With playing around with generating images it seems to be better to just add ((x-ray)) to the prompt

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First version

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This is an experiment to see how well i can train pony xl

you can leave it as it is for a slightly illustrated/anime look, or use 'realistic, photorealistic' for a closer approach to the original

I wanted to train on an anime checkpoint so I don't have to keep switching parameters between models

trigger: PD3-OL

weight: 1.0

the trigger word should cover the basic features but you can also include 'dark brown hair, brown eyes' if it doesn't show up

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This is a rather simple character to only test how LoRA training affects headwear, neckwear and clustered objects.

Recommended Strength:

  • 0.8 ~ 1 for general usage

  • 0.5 or use fewer keywords if you want to change the bikini type

Dataset:

  • Original base image at 4096 x 11040 resolution

    • image cropped into multiple smaller images for more detail

    • used faceless/face censor augmentation

  • Style Augmentation for reducing style bleed

  • Loopback training to help with outfit swapping

Observations:

  • Necklace and number pattern design was earliest than expected

  • Getting the flower next to the frills was harder than initially expected and doesn't generate all of the time

  • Face trains quickly

Notable Changes

  • Trained with prodigy optimizer

  • Doesn't require a trigger word

    • Trigger word for Elris is included along with captions for numberbikini and alternativeoutfit exist. These keywords don't seem to have much of an impact but numberbikini can help with the success rate of the flower appearing

  • Loopback images included

    • This is mostly to help with outfit removability. Added multiple outfits + nude images

  • Requires specific negatives such as head_out_of_frame, faceless, censored, identity_censor,face_censor in negative prompt

Issues/Difficulty:

  • Posing is stiff and/or requires prompt emphasis

  • Having separate wings is difficult

  • LoRA likes to place a lot of extra moles

  • Style Bleeding but can be mitigated with artist keywords

  • Face size is overtrained

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Trained on: Animagine XL V3.1 - v3.1 | Stable Diffusion Checkpoint | Civitai

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Image of Bulgarian bandit rebel Hadji Dimitar

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Landscape recommended

Early version planning to be more customisable in the future

This is a position Lora for Pov Lying on Top. Had best results with landscape

Prompt

Pov lying on top

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Image of a Bulgarian revolutionary

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It's really cool I promise

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Landscape recommended

In this update I spilt up the pictures into 2 different categories so it's easier to get differing results

Early version planning to be more customisable in the future

This is a position Lora for Pov Lying on Top. Had best results with landscape

Prompt

Pov lying on top, Lying sideways

Pov lying on top, Front on

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Trained on: Animagine XL V3.1 - v3.1 | Stable Diffusion Checkpoint | Civitai

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this is my 3rd ever lora, you will likely get the watermark no matter what you do. I also recommend using a strength of .7, but you can do what you want, play with it.

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this LORa is from a previous version that i create using SD 1.5 only this time i add more images in the trainning using different poses and angles and this time i use POny as a base model

As always, this is a test, am not a guru in SD and ofc if u like the assets and the model feel free to download it and fix it if thing that there is someting to fix the only i ask is to share to me ur creation to see how it goes

have fun

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this is my first version.

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This is a update for a sex position Lora for pov blowjob + titjob + handjob. Head grabs have now been added to the keywords

Prompts

grabs

Head grab (should work with any pov, pov blowjob, pov titjob, pov handjob prompts)

One handed head grab (should work with any pov, pov blowjob, pov titjob, pov handjob prompts)

Pov (nojob)

Pov

Pov, cumshot (add , breast or , face to the end if you want to direct the cumshot)

Pov blowjob

Pov blowjob (add , Shallow penetration or , deepthroat to change the depth)

Pov blowjob, creampie

Pov titjob

Pov titjob

Pov titjob, cumshot (add , breast or , face to the end if you want to direct the cumshot)

Pov titjob, blowjob (add , Shallow penetration or , deepthroat to change the depth)

Pov titjob, blowjob, creampie

Pov handjob

Pov handjob

Pov handjob, cumshot (add , breast or , face to the end if you want to direct the cumshot)

Pov handjob, blowjob (add , Shallow penetration or , deepthroat to change the depth)

Pov handjob, blowjob, creampie

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Improved tagging. Larger training data.

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This version appears to be much more consistent and doesn't seem to have stability issues. I tweaked the training setting just a tad more and this one just works well. Plus, it has almost 800 more steps.

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initial version, made with artificial dataset (I used latex princess and edited with photoshop krita).

Bottom part is configurable e.g. leotard or dress.

Jewels can have many colors, just replace red with pink, blue, etc.

putting color before ev1prncs doesn't seem to work well, color parts of the suit e.g. black leotard.

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This is a pov sex position Lora to have the character lean against a wall

SFW prompts

Pov against the wall, no sex
Pov against the wall, no sex, people in the background

NSFW prompts

Pov against the wall, one leg up
Pov against the wall, standing
Pov against the wall, standing doggy
Pov against the wall, straddling man

Prompts to use with the above

people in the background
creampie

Testing something new with the grabs. I'm seeing how well they work without being in the training data so we'll see how consistent it ends up being \ud83e\udd1e

Grab prompts

breast grab:1.3
butt grab:1.3
arm grab:1.3
torso grab:1.3
waist grab:1.3
Head grab:1.3

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A bit more Stable than MML1 Likely due to more varied Minor and major characters fed to it and a lot more environments from the game (Forests/Dungeons/city isn't that great of a spread but just adding Desert and Snow is helping) also more Bot and Airship types are seen, So far I may have mix the Two Training sets for the games for an even more Accurate one. Though I think I may just Boot up my Mister to get Better Images Than using the Dazzle on PS1 hardware. Might look for Codes to disable the HUD for even greater Flexibility, Got plenty of saves to get to important parts of the game.

Definitely will Take longer for Either route. Do what you will with this model and Have fun. This time Training Data should be Available for the model... I Seriously need to Read checkboxes. Apparently if you don't say you own the TD before training it locks it away so its not a toggle Post Training.

Works with other Loras better, Airships are still loved, And due to the res of how I Captured minor Pillar boxes may show up. Highly recommend Against Dazzles for dataset gathering.

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v1.0, turned out great, not what i expected but thats normal now,

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v1.0 turned out pretty well,

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New Prompting:

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Added some additional tags, for wrist deep fisting, leg up and head down ass up concepts. This should give more predictable results.

This version seems to have lost the anal stretching concept, unless you include \"prolapse\", which is weird because the preview pic on the epoch looked really good. For stretching, I'd recommend sticking with the alpha version

Secret ability: because there were a couple pics of girls licking prolapse, it can gen that if you use \"prolapse licking\". Works best with no other tags from this lora, but can with the 4nal_stretching concept. So there you go. Wild butt stuff.

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Man

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you can\u3000also join nsfw prompts :restrained, bound, bondage, bdsm, tentacles sex, milking machine, blindfold, hetero, sex,

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This is a sex position Lora for pov cowgirl with 4 trained positions

Prompts

Pov cowgirl amazon, about to penetrate

Pov cowgirl amazon, default

Pov cowgirl amazon, leaning backwards

Pov cowgirl amazon, leaning forwards

Next thing I'm going to try to do is to try to make this LoRA but with a female pov and a futanari on top which can be hard to make consistency. Hopefully with this base model I'll have more success

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Initial version

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Massively improved tagging. Improved dataset selection and cut-out unneeded access images.

Main trigger tags:

giant_sword - Use for generating a giant sword.

giant_long_sword - Use for generating a particularly long giant sword.

giant_short_sword - Use for generating a shorter in length but still giant in width sword.

giant_onesided_sword - Use for generating a giant sword with a single edge/sided blade.

katana - Use for generating a giant katana.

Secondary tags:

flat blade - Will give the sword a rectangular/box-cutter type look.

spiked blade - Will give the blade jagged/spiked edges.

hook blade - Will give the end of the sword a hooked/jagged tip.

broken blade tip

b&w blade

Sword Position/View-point tags:

pointing down

pointing up

pointing right

pointing left

rotated down

rotated up

rotated left

rotated right

angled

semi-angled

side view of blade

reverse grip

high view

low view

semi-low view

semi-high view

high overhead view

map view

worms-eye view

back view

front view

Other tags:

an arm grabbing the handle of a

two arms grabbing the handle of a

an arm loosely grabbing the handle of a

gripping sword handle

fantasy

medieval

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more like and more best style\uff0cbut have unnecessary speech bubble,doujinshi,doujin cover,title.

Negative Prompt:

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Massively improved tagging. Improved dataset selection and cut-out unneeded access images.

Main trigger tags:

giant_sword - Use for generating a giant sword.

giant_long_sword - Use for generating a particularly long giant sword.

giant_short_sword - Use for generating a shorter in length but still giant in width sword.

giant_onesided_sword - Use for generating a giant sword with a single edge/sided blade.

katana - Use for generating a giant katana.

Secondary tags:

flat blade - Will give the sword a rectangular/box-cutter type look.

spiked blade - Will give the blade jagged/spiked edges.

hook blade - Will give the end of the sword a hooked/jagged tip.

broken blade tip

b&w blade

Sword Position/View-point tags:

pointing down

pointing up

pointing right

pointing left

rotated down

rotated up

rotated left

rotated right

angled

semi-angled

side view of blade

reverse grip

high view

low view

semi-low view

semi-high view

high overhead view

map view

worms-eye view

back view

front view

Other tags:

an arm grabbing the handle of a

two arms grabbing the handle of a

an arm loosely grabbing the handle of a

gripping sword handle

fantasy

medieval

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That was a lot harder to get the training data generated than I thought it would be... At least I got there in the end

This is a sex position Lora for female pov cowgirl amazon with a futanari (or should it be missionary? Too late now already as I already trained the prompts on cowgirl \ud83d\ude05).

3 trained positions and one trained grab

Prompts

Female Pov Futa cowgirl amazon, default

Female Pov Futa cowgirl amazon, about to penetrate

Female Pov Futa cowgirl amazon, leaning forward

Trained grab prompt

pov breast grab (trained with the leaning forward and about to penetrate)

General prompts

Creampie

Breast grab:1.3 (not been trained but hopefully will result in a self breast grab)

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added lesbian positions

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v1 of rose world, turned out pretty good, bit of trouble with the birds when doing citys and stuff but other than that all good,

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Just as is Currently, update notes will go here when there is an actual update to the style model.

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While preserving 2D to look more like the original is nice, it is nice to be have more depth and shading, to this is Tina Holly from Beast Tamer in 2.5D for Pony

use \"spicy\" when generating spicy activities for more reliable results

trained on SFW and NSFW images, using the screencaps dataset I used to create SD1.5 LoRA, plus generated images for versatility

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Training run 41, epoch 000004

Dataset 16

Images

  • Same as in v2.0

Tagging

  • Same as in v2.0

Training

  • Script: https://github.com/bmaltais/kohya_ss commit 5ed5623

  • Dataset replicates/epoch: 10

  • Epochs: 4

  • Batch size: 2

  • Checkpoint: ponyDiffusionV6XL_v6StartWithThisOne.safetensors

  • Network configuration: LyCORIS/LoCon (dim=16, alpha=8, conv_dim=8, conv_alpha=1)

  • LR: Governed by Prodigy optimizer. Schedule was \"cosine\" annealed over 20 epochs, with 5% warmup.

  • Optimizer: Prodigy

  • Noise offset: Multires

  • CLIP skip: 2

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This model can be a bit random at times, so make sure to mention his name whenever possible. Works okayish with other models but overwrites the style.

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V.1

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First Release on it's way, I hope you enjoy :)

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Yumeko, GachaYumeko, Gacha, Blonde, long hair, straight bangs, yellow eyes, white shirt, red bow on the shirt

Keksik, GachaKeksik, Gacha, red-brown hair, yellow streaks, bandage on right cheek, red-brown eyes, white horns, black hoodie with \u30b1\u30fc\u30ad written on it, white collar, black fingerless gloves, black shorts, freckles, elf ears, white stockings, black boots

Kasho, GachaKasho, Gacha, boy, demon, red skin, horns, white hair, orange shirt, black shorts, spiked bracelet, fingerless gloves

Liss, GachaLiss, Gacha, girl, glasses, rose hair, pink eyes in a vertical striped white and pink sweater, twintails, star hair ornament, white skirt, pleated skirt

Kislinka, GachaKislinka, Gacha, Pastel purple hair, White hair, cat's ears, earrings, gloves, pink dress, white socks

Froggi, GachaFroggi, Gacha, purple hair, bob haircut, turquoise hoodie, white skirt, blue frog ears, Blue eyes

Mezumi, GachaMezumi, Gacha, brown hair, (grey hair:0.6), bob hairstyle, purple eyes, purple long sleeves, short hair, purple top, bare shoulders, choker

gelugacha, gelu, gacha, girl, long hair, black hair, blue eyes

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Thus model is made for just x ray core, but it'd a little more consistent.

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This is a pov sex position Lora to have the character bound to a chair

Prompts

Pov Bondage Chair,

no sex, (add breasts exposed, lower half exposed or fully exposed prompts to customise)

pressed against vagina,

sex,

deep sex,

pressed against anus,

anal sex,

deep anal sex,

Creampie,

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This one took some time to get right \ud83d\ude05

This is a pov sex position Lora for Standing Doggy Style + Missionary where the character is looking up the viewer. 3 trained positions for doggy Style and 1 for missionary

Prompts

Standing doggy style

Pov Standing Doggy Style, looking,

Pov Standing Doggy Style, looking away,

Pov Standing Doggy Style, curving back towards viewer,

Standing Missionary

Pov Standing Missionary,

Grabs

Not trained but should work quite well

breast grab:1.3,

butt grab:1.3,

arm grab:1.3,

torso grab:1.3,

waist grab:1.3,

Head grab:1.3,

chin grab:1.3,

General prompts

reaching for viewer,

Creampie,

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Please give me feedback on what I can improve i the comments!

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The image should combine the four elements: earth, fire, water and air, in a balanced and aesthetic way.

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Added :

  • background and gms_background (around the figure)

  • circle and gms_circle (on top a square if there is)

  • Tried to train figures where Square and Border are NOT centered in the image.

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A possible improved version of the vore bulges

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This is a preliminary version as a start. I hope to learn more from it and provide what is better

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  • maybe a little over baked

  • auto tagged dataset

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New version should be a lot more streamlined will now be easier to get the 3 trained positions. Squatting has also been added

This is a sex position Lora for pov cowgirl with 3 main positions.

Main Prompts

Pov Cowgirl,

Pov Cowgirl leaning forward,

Pov Cowgirl leaning back,

Secondary Prompts

Sitting,

squatting,

Creampie,

Grab Prompts

Grabs have not been trained but will add them to the trigger words as they still work well

breast grab:1.3,

arm grab:1.3,

torso grab:1.3,

waist grab:1.3,

Head grab:1.3,

Face grab:1.3,

Leg grab:1.3,

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v1.0 Over trained (100 steps per image)

v1.1 Under trained (20 steps per image)

v1.2 Trigger words don't seem to be working, restructuring training prompts and adding a trigger word.

v2.0 Working, not as much variety as I would like. I assume tentacles1 is unique though perhaps not? Good enough for a release though.

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trained on anythingv3, 768x768, 12/24 epochs

half of the dataset generated with 2 previous versions

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Added

  • Yae Miko

  • Ei

", "trainedWords": ["yae miko from genshin impact", "ei from genshin impact"], "stats": {"downloadCount": 268, "ratingCount": 10, "rating": 4.6, "thumbsUpCount": 10, "thumbsDownCount": 1}, "files": [{"id": 6248, "sizeKB": 4001979.514648438, "name": "genshin_01.ckpt", "type": "Model", "pickleScanResult": "Success", "pickleScanMessage": "**Detected Pickle imports (5)**\n```\ncollections.OrderedDict\ntorch._utils._rebuild_tensor_v2\ntorch.LongStorage\ntorch.FloatStorage\ntorch.HalfStorage\n```", "virusScanResult": "Success", "virusScanMessage": null, "scannedAt": "2023-01-24T16:44:13.716Z", "metadata": {"format": "PickleTensor", "size": "full", "fp": "fp16"}, "hashes": {"AutoV1": "99B46941", "AutoV2": "3CD05F6A2E", "SHA256": "3CD05F6A2E8399BFBAB1181D410F29D375E33AD5B1E51F70E6059CC7A48A3A98", "CRC32": "3C79046B", "BLAKE3": "2223D64D772DB2AAE1F640C3CAEE4FABB0550CE418C3C70A567C62EA5B1C868E"}, "downloadUrl": "https://civitai.com/api/download/models/5989?type=Model&format=PickleTensor&size=full&fp=fp16"}, {"id": 6270, "sizeKB": 2082642.022460938, "name": "genshin_01.safetensors", "type": "Model", "pickleScanResult": "Success", "pickleScanMessage": "No Pickle imports", "virusScanResult": "Success", "virusScanMessage": null, "scannedAt": "2023-01-24T18:22:59.092Z", "metadata": {"format": "SafeTensor", "size": "full", "fp": "fp16"}, "hashes": {"AutoV1": "0248DA5C", "AutoV2": "F6A89257D4", "SHA256": "F6A89257D4DE927442EB9E56B993719433F7BA5B20DEB3C024D5C5C606F79C6D", "CRC32": "46D63D8F", "BLAKE3": "AB7B69CB1BD4EDD7BFAC1751CCDEC5DC98D492BDE2CC6322E7C7770612505EBF"}, "downloadUrl": "https://civitai.com/api/download/models/5989", "primary": true}, {"id": 6269, "sizeKB": 2082880.590820312, "name": "genshin_01.ckpt", "type": "Pruned Model", "pickleScanResult": "Success", "pickleScanMessage": "**Detected Pickle imports (3)**\n```\ntorch._utils._rebuild_tensor_v2\ncollections.OrderedDict\ntorch.HalfStorage\n```", "virusScanResult": "Success", "virusScanMessage": null, "scannedAt": "2023-01-24T18:13:11.870Z", "metadata": {"format": "PickleTensor", "size": "pruned", "fp": "fp16"}, "hashes": {"AutoV1": "812AAB2B", "AutoV2": "BCBC10C2EA", "SHA256": "BCBC10C2EACA5DE243C1767469ECC9EAB49B28540E7578E3432E9ED2E3B56B10", "CRC32": "D8B315F8", "BLAKE3": "B92297EB3C22EC92B2F31E7F0586DDB4669CB031EE7D3C5BC46262EFCF3338AE"}, "downloadUrl": "https://civitai.com/api/download/models/5989?type=Pruned%20Model&format=PickleTensor&size=pruned&fp=fp16"}, {"id": 6249, "sizeKB": 1274930.840820312, "name": "genshin_01_trainingData.zip", "type": "Training Data", "pickleScanResult": "Success", "pickleScanMessage": "No Pickle imports", "virusScanResult": "Success", "virusScanMessage": null, "scannedAt": "2023-01-24T16:49:09.721Z", "metadata": {"format": "Other"}, "hashes": {"AutoV1": "B6D21A13", "AutoV2": "81DDA1694C", "SHA256": "81DDA1694C97911C2635EE087C922F3E12811EAC9BDB8F1B84B4D119ACBAEC4E", "CRC32": "64FB213C", "BLAKE3": "568D4242FA66DECEE7529717A3E45E24C191CB6E7BC9332883E18B627300B17C"}, "downloadUrl": "https://civitai.com/api/download/models/5989?type=Training%20Data"}], "images": [{"id": 51129, "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/165f866f-d7d2-4519-f531-68bb99919100/width=450/51129.jpeg", "nsfwLevel": 1, "width": 1024, "height": 1024, "hash": "UDGkbPDhID~V_MD*RlIT~99FxdJ6_NI9sSxb", "type": "image"}, {"id": 51131, "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/d2f1c808-2a4f-4bb3-f164-8bda7c286900/width=450/51131.jpeg", "nsfwLevel": 1, "width": 512, "height": 512, "hash": "URM%HB4pPC$x?^jDPBxBKkxurqaL?Ho#rqX9", "type": "image"}, {"id": 51130, "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/b67734d4-1723-428a-aab2-657ccd938000/width=450/51130.jpeg", "nsfwLevel": 1, "width": 512, "height": 512, "hash": "UmMisw4;%%xb%$s;koo3K4ocr=WTsqjGV[Rj", "type": "image"}], "downloadUrl": "https://civitai.com/api/download/models/5989", "modelId": 5162} \ No newline at end of file diff --git a/datasets/metadata/598966.json b/datasets/metadata/598966.json new file mode 100644 index 0000000000000000000000000000000000000000..d85ffead838fd7e89dacb414019f39ea1e9528ce --- /dev/null +++ b/datasets/metadata/598966.json @@ -0,0 +1 @@ +{"id": 598966, "index": 0, "name": "Pov Lying on Top 2.0", "baseModel": "Pony", "baseModelType": null, "publishedAt": "2024-06-26T05:00:38.701Z", "availability": "Public", "nsfwLevel": 28, "description": "

Landscape recommended (1216 x 832)

In this update I tried to make the effect more consistent. One new position and clothed versions for both positions have been added as it was harder than it should be to generate clothes in the previous versions

This is a pov position Lora for characters Lying on Top or Lying next to viewer. Had best results with landscape

Prompts

Lying on top,

Lying next to viewer,

Lying on top clothed,

Lying next to viewer clothed,

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Johnson Bronson Johnson

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skyblue from fnf. V1

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Final version after applying image loopbacks. The LoRA prior to loopback has better details but somehow adding the loopback images caused the pupil shape to undertrain.

Training Goals:

  • Complex Pupils

  • Lower Body Outfit Fidelity

Results:

  • Getting pupils correct will require inpainting or usage of adetailer. Inpainting manually has better results compared to adetailer. With some editing, the pupils can be obtained in a single inpaint pass. Otherwise use two passes. Pupil shape is correct but the shading is incorrect where the bottom half appears to be transparent.

  • Lower Body is a massive struggle. I will attempt to create another character design to test some more theories as I am running to roadblocks now.

Undertraining

  • Hairline

  • skirt design

  • pupil shading

Overtraining

  • Pose

Augmentations

  • Style

  • Camera

  • Censor

  • Close-ups

  • Loopback

Issues:

  • Due to the usage of lower quality images, antialiasing artifacts are present. This is fixable but I'm too lazy to do so. Main cause is that I did not upscale every base image consistently.

  • Poses are overtrained and might need emphasis to work

  • Concept bleeding is present for outfits around 'dress' or shirt based designs

  • Recommended to use style LoRAs to get around style bleeding.

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nothing new.

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It's the first time I created a model. Any suggestion for improvement is more than welcome. I want to give a good model

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This new version adds 3 extra outfits from Dungeon Travelers 2-2: The Fallen Maidens & the Book of Beginnings: swimsuit outfit DLC, alternate outfit DLC and fallen outfit DLC.

Unfortunately, I goofed it up with the swimsuit somehow and it's pretty hard to get right, the other two outfits should work decently enough.

Tags:

>Swimsuit

swimsuit, white swimsuit, leotard, white leotard, toeless footwear

Optional weapon: sheathed, sword

>Alternate

alternate, (tiara:0.8), open robe, red robe, pelvic curtain, toeless footwear

Optional weapon & orb: holding weapon, mace, holding orb, orb

(I found the mace to be very hard to get looking right. You'll either have to generate a boatload or just try inpainting it to get the thing looking decent. The orb, however, works great. You can make some pretty cool poses with it, also dual wielding orbs is easily doable. You CAN combine both the mace and orb prompts and you may get interesting results, such as mace orbs or some weapons that look straight out of World of Warcraft at times. Experiment around with it, you may get some cool results.)

>Fallen

fallen, bow, large bow, black bow, bow choker, magical girl, elbow gloves, skirt, striped thighhighs, ankle bows

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Nothing new.

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July 1st 2024

Added trigger word: Wubbox

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A Lora I trained on my avatar from Second Life.

The pics are all at 1.6 cfg and 15 steps using rgthree's nodes

I'm using a weight strength of 0.70 on my Lora with clip at 1

I didn't save the prompts, I just used random ones from the image page, Civitai isn't picking up the data, sorry

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Tried to imrpove the mains characteristics.
Eyes seems to be a bit buggy due to black sclera.

Advices and tips for improvements are always welcome!

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version changes

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Images made with LORA weight 1.0

Trigger word: pxint

This version commonly produces a \"dripping chin\" so I highly recommend adding \"saliva\" to the negative prompt.

Helpful positives: 1boy, male focus, portrait, flowing, with a splash of paint, looking at viewer

Other positives: , COLOR and COLOR, splatter, bubble, swirling, sparkle, rim lighting

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a1111/forge friendly

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2DN - Pony
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More distant images may show some artifacts, distortions or disproportions in the face when generating images in Civitai, which is why the recommendation of this LoRA is to use characters closer to the image or use some Embedding to reduce errors in the face.

Image examples (https://civitai.com/posts/4269922)

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My very first lora, feedback appreciated!

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About this version

More distant images may show some artifacts, distortions or disproportions in the face when generating images in Civitai, therefore, the recommendation of this LoRA is to use the example image gallery, characters closest to the image or use some Embedding to reduce errors on the face.

Example Images - (https://civitai.com/posts/4367154)

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About this version

More distant images may show some artifacts, distortions or disproportions in the face when generating images in Civitai, therefore, the recommendation of this LoRA is to use the example image gallery, characters closest to the image or use some Embedding to reduce errors on the face.

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First version

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E17 version. It is stronger and more aggressive in morphing than E15. Request E15 version in comments if you wish ti t(a)est(e) less aggressive version.

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This is a selfie LoRA with 5 trained positions and trigger words to help with customising

Prompts

Selfie, (main prompt)

Positions

standing,

bent over,

on all fours,

sitting,

lying down,

Customising prompts

sfw,

breast exposed,

looking down top,

vagina exposed

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naked,

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Wish me luck ion the contest.

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This is a pov sex position Lora for Doggystyle with 3 trained positions and trigger words to help with customising

Wanted to make a base LoRA so I can make a more customisable version in the future so should have updates if things go well.

Prompts

Doggystyle Pov, (main prompt)

Positions

looking back,

facing away,

reaching for viewer,

Customising prompts

about to penetrate,

Creampie,

Butt grab:1.3,

Arm grab:1.3,

Torso grab:1.3,

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a1111/forge friendly :)

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About this version

More distant images may show some artifacts, distortions or disproportions in the face when generating images in Civitai, therefore, the recommendation of this LoRA is to use the example image gallery, characters closest to the image or use some Embedding to reduce errors on the face.

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About this version

More distant images may show some artifacts, distortions or disproportions in the face when generating images in Civitai, therefore, the recommendation of this LoRA is to use the example image gallery, characters closest to the image or use some Embedding to reduce errors on the face.

Example images - (https://civitai.com/posts/4637095)

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First version. Ever.

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About this version

More distant images may show some artifacts, distortions or disproportions in the face when generating images in Civitai, therefore, the recommendation of this LoRA is to use the example image gallery, characters closest to the image or use some Embedding to reduce errors on the face.

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About this version

More distant images may show some artifacts, distortions or disproportions in the face when generating images in Civitai, therefore, the recommendation of this LoRA is to use the example image gallery, characters closest to the image or use some Embedding to reduce errors on the face.

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Hopefully this works well. From the training output, it looks like the model might be trained with furrowed brows, which is unfortunate.

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About this version

More distant images may show some artifacts, distortions or disproportions in the face and hands when generating images in Civitai, which is why the recommendation of this LoRA is to use characters closer to the image or use some Embedding to reduce errors in the face.

Example Images - (https://civitai.com/posts/4819911)

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Current prompts (place holders)

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Missionary close, guy on top

Planned prompts

Kissing

From the side

From below

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base on AutismMix SDXL(PONY)

\u7531\u65bc\u7f3a\u4e4f\u7d20\u6750(\u904a\u6232\u6211\u6c92\u600e\u9ebc\u73a9)\uff0c\u5f88\u591a\u670d\u88dd\u6211\u90fd\u6c92\u6709\u80fd\u529b\u8a13\u7df4\u51fa\u4f86\uff0c\u5982\u4f60\u5e0c\u671b\u52a0\u5165\u66f4\u591a\u670d\u88dd~ \u53ef\u5411\u6211\u63d0\u4f9b\u904a\u6232\u5167\u622a\u5716(\u66f4\u63db\u5ba4) \uff0c\u6211\u662f\u4f7f\u7528IPAD PRO 8X AA\u6700\u9ad8\u756b\u8cea\u622a\u5716\u7684\uff0c\u591a\u89d2\u5ea6\u5341\u591a\u5f35\u5c31\u53ef\u4ee5\u4e86

\u5efa\u8b70\u4f7f\u7528\u9762\u90e8\u4fee\u5fa9

++
score_9, score_7_up, hd, (ultra hd quality details),source_anime,

--
3d, ugly, greyscale, monochrome, blurry, source_cartoon, source_furry, source_pony, sketch,

snow idol:

hanasuzukic2, long hair, hanaskimas-costume, hanaskimas-choker, hanaskimas-gloves, hanaskimas-mismatched legwear, hanaskimas-high heels, hanaskimas-head wreath,

idol:

hanasuzukic2, hanasorgidol hair ornament, fur-trimmed gloves, hanasorgidol clothes, fur-trimmed knee boots,

daily clothing:

hanasuzukic2, whhana3-skirt, whhana3-vest, whhana3-shirt, white socks, sneakers,

Black turtleneck:

(hanasuzukic2), short hair, hair bun, hana2-belt, hana2-hairclip, hana2-turtleneck, hana2-pantyhose, hana2-pleated skirt,hana2-high heels,

Gray pinafore dress:

hanasuzukic2, long hair, grhanasu1-shirt, grhanasu1-pinafore dress, grhanasu1-belt, blue nails, grhanasu1-hairclip,
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#TODO

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About this version

More distant images may show some artifacts, distortions or disproportions in the face and hands when generating images in Civitai, which is why the recommendation of this LoRA is to use characters closer to the image or use some Embedding to reduce errors in the face.

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v1.0 - First version

  • 20 images (including custom sprites)

    - Game

    + original (12)

    = 10 sprites [v0.2.7.1]

    = 2 sprites [v0.4.1]

    + mod (3)

    = 1 sprite [Summer Vacations]

    = 1 sprite [VS Imposter]

    = 1 sprite [Boyfriend Back Perspective V2]

    = 1 sprite [Week 4 Speakers without Girlfriend]

    - Custom

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About this version

The initial version, quite well done!

We plan to increase the number of teacher images to improve the accuracy of the model.

If you want other Epochs versions, please comment.

I trained with 123 images in ponyXL.

\u521d\u671f\u30d0\u30fc\u30b8\u30e7\u30f3\u3001\u7d50\u69cb\u3044\u3044\u51fa\u6765\u3067\u3059\uff01

\u6559\u5e2b\u753b\u50cf\u3092\u5897\u3084\u3057\u3066\u30e2\u30c7\u30eb\u306e\u7cbe\u5ea6\u3092\u9ad8\u3081\u308b\u4e88\u5b9a\u3067\u3059\u3002

\u307b\u304b\u306eEpochs\u30d0\u30fc\u30b8\u30e7\u30f3\u304c\u6b32\u3057\u3044\u5834\u5408\u306f\u3001\u30b3\u30e1\u30f3\u30c8\u3092\u304f\u3060\u3055\u3044\u3002

ponyXL123\u679a\u306e\u753b\u50cf\u3092\u4f7f\u3063\u3066\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u3057\u307e\u3057\u305f\u3002

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Still active without the trigger word.

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Primer Lora de Prueba

First test lora

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About this version

More distant images may show some artifacts, distortions or disproportions in the face and hands when generating images in Civitai, which is why the recommendation of this LoRA is to use characters closer to the image or use some Embedding to reduce errors in the face.

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v1.0 - First version

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    = 7 sprites

    = 2 sprites [Chapter 5]

    = 1 sprites [Chapter 6]

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About this version

More distant images may show some artifacts, distortions or disproportions in the face and hands when generating images in Civitai, which is why the recommendation of this LoRA is to use characters closer to the image or use some Embedding to reduce errors in the face.

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Training images used were developed based on this guide tutorials/consistent_character_embedding/README.md at main \u00b7 BelieveDiffusion/tutorials \u00b7 GitHub for creating a consistent character for use as a textual inversion embedding. As of posting, this Lora has only been tested locally in SD.

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About this version

More distant images may show some artifacts, distortions or disproportions in the face and hands when generating images in Civitai, which is why the recommendation of this LoRA is to use characters closer to the image or use some Embedding to reduce errors in the face.

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I started to train a new dreambooth with the same settings, but with v1-5-pruned-emaonly. I decided to merge it to the first one.

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Testing testing

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About this version

More distant images may show some artifacts, distortions or disproportions in the face and hands when generating images in Civitai, which is why the recommendation of this LoRA is to use characters closer to the image or use some Embedding to reduce errors in the face.

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My count:
https://www.wattpad.com/user/Liver020

Prompt:
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About this version

More distant images may show some artifacts, distortions or disproportions in the face and hands when generating images in Civitai, which is why the recommendation of this LoRA is to use characters closer to the image or use some Embedding to reduce errors in the face.

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thank you is kung fu wa quincyb45

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I have created a LORA with the fitting name \"Renaissance XL\". This allows you to create almost realistic portrait works of art with a dark fantasy approach. Ideal for character concept design, for the games industry or to create a cool avatar. You can also use it to create brilliant motifs for Traot cards.

Give \"Renaissance V1\" a chance, test it and share your results not only here at CivitAI but also at net-twin.de, a volunteer-run social network with almost no annoying advertising and totally free for creative people like you, their hobbies and interests.

Andy (@WebCrew) wishes you lots of fun and success \ud83d\udc68\ud83c\udffd\u200d\ud83c\udfa8

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\u00f6zel versiyon

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About this version

More distant images may show some artifacts, distortions or disproportions in the face and hands when generating images in Civitai, which is why the recommendation of this LoRA is to use characters closer to the image or use some Embedding to reduce errors in the face.

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This is actually V4 but then again 2 and 3 while not bad were not a great improvement. To train this I modified the dataset to be 192x192. This way I was able to regularize the size of the image in the in painting zone. On the other hand if the zone is too big you might get duplicates or weird stretching. If there's demand I might try to make a 256 version. V1 is of course 512.

I might give this another try doing adding vertical flip as i saw some bias. I am not sure about the speech bubbles of some of the dataset as they often appear pointing the wrong way(as expected).

I recommend to use:

  • Try to make the impaint area close to 192x192 or if smaller try making it either round or square.

  • Lora Weight: 1

  • imprint area: only masked

  • Denoising strength: 1

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Model based on BerryGold 1.0
Final Training dataset: 2293 Images (e621&danbooru)
Note: quality over quantity, to get a good result i had to remove ~500Img often because of cross view but im happy with end quality.

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Lora trained on 512x512 images. If you are inpainting in a image before upscaling the result might be too big. only use it if you have a lot of free space to inpaint in your image.

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This one is a bit problematic SD seems to dislike this resolution. Make sure to set inpainting area to only masked and set the height and width to 192.

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This seems to be the most useful one due to it's size.

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hair ornament for \"YS\" (it's like default anyways)

silver dress + revealing clothes for silver dress

necklace for jewelry necklace

earrings for silver earrings

high heels for silver high heels (it's like default anyways)

handbag for black handbag

blue nails for blue fingernails (sometimes toenails too)

champagne flute/cup tags should work ok

I tried way too many times for the entire skin to look accurate but it's way too many details for the AI to handle at this point :(

LoRA issues:

This LoRA is quite overfitted by the dataset, you can try to tag against it such as barefoot to get rid of high heels, car in negative to remove car ish things, necklace in negative to remove necklace ish things etc.

Might not always work, just generate more if so :/

All previews in v1 (epoch5) are made with AOM2_Hard and most of them with kl-f8-anime2 vae. Some were with 840000 vae but I think it's inferior to kl-f8-anime2 now.

(Never mind there's 1 image generated with epoch3, but after tests I think epoch5 is best)

Good luck have fun ( \u0361\u00b0 \u035c\u0296 \u0361\u00b0)

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Full remake with new dataset and tagging

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Abandon variety embrace repeatability!

A stylized version using a heart shaped ovum. Mostly a synthetic dataset. Has high repeatability and reliability as long as the inpaint space is symmetrical.

Requires the following:

  • I like it most at .95 strength(why? I don't know, but i think there's more sperm at 1 which overloads the image a bit.)

  • a symmetric inpaint area

  • Latent Nothing

  • Only masked

  • padding pixels: 0

  • Width and and height: calculate what you want by looking at the colored pictures and match it to your available inpaint area then copy the written resolution from the image that looks the best to you.

  • For the guide images: Red is 128, Blue is 192, green is 256 and Yellow is 512.

  • Denoise strenght:1

  • Mask transparency 0 or better yet use your own mask file.

  • Check the attached configuration screenshot if you have a doubt.

This is totally different to the other ones with a dataset created from scratch. I thought that maybe i should post it separately but nah!

I finally happy with this one. It is likely the end product. I will use it to make a synthetic dataset for a generalized fertilization LORA in the future.

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  • Info

    • Trained with AbyssOrangeMix2 (SFW)

    • Image Set: 10

    • Training Resolution: 512x512

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First Version, use the embedding as well if you are getting poor results.

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  • Info

    • Trained with AbyssOrangeMix2 (SFW)

    • Image Set: 10

    • Steps / Image: 50

    • Training Resolution: 512x512

", "trainedWords": [], "stats": {"downloadCount": 765, "ratingCount": 154, "rating": 5, "thumbsUpCount": 157, "thumbsDownCount": 0}, "files": [{"id": 8099, "sizeKB": 3150.5986328125, "name": "MOSHIMOSHIBE STYLE LORA.zip", "type": "Training Data", "pickleScanResult": "Success", "pickleScanMessage": "No Pickle imports", "virusScanResult": "Success", "virusScanMessage": null, "scannedAt": "2023-02-06T04:46:30.260Z", "metadata": {"format": "Other"}, "hashes": {"AutoV1": "A040C01D", "AutoV2": "4915146D5F", "SHA256": "4915146D5F4F572AEF85E537AC5E5788B21BBA80BC3F28AFA9C41A80EB27F64D", "CRC32": "F19A10E5", "BLAKE3": "D291BA580F106BA5F9EDAA2E4B9557FE67AB143C96CDA60E3734B95D2A7900E7"}, "downloadUrl": "https://civitai.com/api/download/models/8171?type=Training%20Data"}, {"id": 8098, "sizeKB": 36978.1904296875, "name": "moshimoshibe-style-v1.safetensors", "type": "Model", "pickleScanResult": "Success", "pickleScanMessage": "No Pickle imports", "virusScanResult": "Success", "virusScanMessage": null, "scannedAt": "2023-02-06T04:46:33.000Z", "metadata": {"format": "SafeTensor", "size": "full", "fp": "fp16"}, "hashes": {"AutoV1": "4DFCFBD6", "AutoV2": "0FEEE9EA40", "SHA256": "0FEEE9EA40C698444DCFBE416AD341EEDBCF50811EFAF51F5A58C4C3786685DF", "CRC32": "EF89271D", "BLAKE3": "0E4BB704F21FCF54E641D6F464C6D59F47DBACBF6FC8F58D8B26E9E21C1CF6E1", "AutoV3": "F9E521C9415A"}, "downloadUrl": "https://civitai.com/api/download/models/8171", "primary": true}], "images": [{"id": 77248, "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/e5bb3490-eb90-4d67-70b7-f023dc98c000/width=450/77248.jpeg", "nsfwLevel": 1, "width": 512, "height": 512, "hash": "UYL:=U0L~U%2-UxG$%%29GMyRkIo^*IUkBxt", "type": "image"}, {"id": 77252, "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/f261859a-c11f-48c2-901d-d94b4d9de300/width=450/77252.jpeg", "nsfwLevel": 1, "width": 512, "height": 512, "hash": "UTL4g400$QL47joz%1R:4=RmNG9bIvxGs+WC", "type": "image"}, {"id": 77254, "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/d2a5592b-7536-4eb9-af2c-35d3a2529700/width=450/77254.jpeg", "nsfwLevel": 1, "width": 512, "height": 512, "hash": "UcKTlH~V~V0L-:?H%2%L9ZxaM|fkIoxtjsjZ", "type": "image"}, {"id": 77253, "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/739660ff-19dc-4ef2-90ff-587311169f00/width=450/77253.jpeg", "nsfwLevel": 1, "width": 512, "height": 512, "hash": "UAJZxJ4;01020z$LO=04}Dt7$k^i01?a0g?E", "type": "image"}], "downloadUrl": "https://civitai.com/api/download/models/8171", "modelId": 6954} \ No newline at end of file diff --git a/datasets/metadata/8189.json b/datasets/metadata/8189.json new file mode 100644 index 0000000000000000000000000000000000000000..512927a7c980569f1baf2987ff2bc9b7594c4e1f --- /dev/null +++ b/datasets/metadata/8189.json @@ -0,0 +1 @@ +{"id": 8189, "index": 0, "name": "v1.0", "baseModel": "Other", "baseModelType": "Standard", "publishedAt": "2023-02-06T06:27:25.221Z", "availability": "Public", "nsfwLevel": 1, "description": "

  • Notes

    • Works great with abstract styles!

  • Info

    • Trained with AbyssOrangeMix2 (SFW)

    • Image Set: 11

    • Steps / Image: 50

    • Training Resolution: 512x512

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  • Notes

    • Works at a lot of different strengths; experiment

    • May improve in future due to seemingly low resolution

  • Info

    • Trained with AbyssOrangeMix2 (SFW)

    • Image Set: 11

    • Training Resolution: 512x512

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After much trial and error I cleaned up the entirety of the dataset to try to make the lora more stable as well as editing the sample pics of the previous to make them more accurate to her overall look.
Almost every source image and every generated image was edited to make a more uniform and accurate data set. All resources used can be found here: https://civitai.com/articles/75/useful-online-tools-for-datasets-and-where-to-find-data
Most common edits were higher detail faces, pink seams on clothing, and tail corrections. Training data attached, nsfw.
Credits:
hyperfusion-throwawayjm
lactation-Gtonero

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Last version was done before I started tagging for costumes. It feels like I made it eons ago. I was using it the other day and it felt dated and somewhat rigid. I seem to have also become lazier expecting my loras to immediately output the outfits i want using only triggers. So I check the dataset, removed some crap and tweaked the tagging to add triggers to her outfits.

Remember to add twin_braids in the negatives

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"description": "

  • Notes

    • Better to use for retaining the style, especially with people/anime

    • Strength is all over the place

    • HI RES FIX IS SUGGESTED

  • Info

    • Trained with AbyssOrangeMix2 (SFW)

    • Image Set: 20

    • Training Resolution: 512x512

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Training settings:

147 images\n8 repeats \n6 epochs\n7056 steps (batch size:1)\nLearning rate: 1e-4\nText encoder learning rate: 5e-5 \nUnet learning rate: 1e-4 \nmax bucket resolution: 512 \nclip skip: 2 \ndim/alpha: 160 \nbatch size=1 \nBase model: NAI, this mean that this LoRA work on any model derived from that particular model like AnythingV3/4/4.5, Pastel Mix, AOM 1/2,etc...

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Trained on 50 different images of tunnels.

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0000000000000000000000000000000000000000..36b53d2d1fbc5d03a7a67bf340fcd59c95df0efa --- /dev/null +++ b/datasets/metadata/8910.json @@ -0,0 +1 @@ +{"id": 8910, "index": 0, "name": "v1,0", "baseModel": "Other", "baseModelType": "Standard", "publishedAt": "2023-02-09T05:19:44.950Z", "availability": "Public", "nsfwLevel": 1, "description": "

  • Notes

    • Need a lot of color-related keywords to get the style of the training images, but still looks cool without (I suggest low saturation, watercolor, light colors, etc), can look at example images

    • Works best at strength 0.6-0.8

  • Info

    • Trained with AbyssOrangeMix2 (SFW)

    • Image Set: 10

    • Training Resolution: 512x512

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SHIT POST QUALITY, IMPROVEMENTS IN FUTURE

  • Notes

    • Keeps trying to give him hair, and there is a LOT of tentacles

  • Info

    • Trained with AbyssOrangeMix2 (SFW)

    • Image Set: 10

    • Training Resolution: 512x512

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  • Notes

    • Replicates intended style much better than the first attempt

    • Defaults to a specific hairstyle for women (swept bangs) if not described because of prevalence in training dataset.

    • Works best at a variety of strengths, anywhere from 0.5-1.0 depending on epoch

  • Info

    • Trained with AbyssOrangeMix2 (SFW)

    • Image Set: 10

    • Training Resolution: 512x512

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  • Notes

    • Replicates the general artstyle of the game

    • Recommended strength 0.5-0.9

    • Sometimes does unwanted group shots, just prompt against and it will dissapear

  • Info

    • Trained with Anything v4.5

    • Image Set: 10

    • Training Resolution: 512x512

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Trained on 35 images of varying alleyway. Tends to put characters center or up close to one of the walls.
Credits:
hakaan - atomic hips

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Some images added and all retagged. Now trained on google colab, curtain grab seems to be weaker and needs some emphasis to generate.
Credits:
Atomic hips-hakaan

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Trained on delibrate. @o@

Suggested Basil mix, Elldreth's Vivid Mix and so on.

Feb 18th. Training data updated.

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  • Notes

    • Getting it to blend with other character LoRAs is a bit hard, but can be done

    • Reccomended strength : 0.50 - 0.75

    • Defaults to red clothes, sometimes ignores other colors, just lower strength

    • Reccomended to use the tags ':D', 'chibi,' and 'padoru' for the best results

  • Info

    • Trained with Trained with AbyssOrangeMix2 (SFW)

    • Image Set: 12

    • Training Resolution: 512x512

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