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adetailer/README.md +103 -181
adetailer/assdetailer-seg.pt +3 -0
adetailer/assdetailerAdetailerModelFor_v2Segm_1213760.html +233 -0
adetailer/assdetailerAdetailerModelFor_v2Segm_1213760.json +10 -0
adetailer/face_yolov8n.pt +3 -0
adetailer/face_yolov8n_v2.pt +3 -0
adetailer/hand_yolov8n.pt +3 -0
adetailer/person_yolov8n-seg.pt +3 -0
adetailer/person_yolov8s-seg.pt +3 -0

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+*.7z filter=lfs diff=lfs merge=lfs -text
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+*.model filter=lfs diff=lfs merge=lfs -text
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-# Yolov8 Training & Inference Scripts
-This repository helps you train detection models, as well as use them to generate detection outputs (image and text).
-> [!IMPORTANT]
-> Requires **Python 3.11** or newer.
-## Installation Instructions - Windows
-1. Download or git clone this repository to any folder
-`git clone https://github.com/MNeMoNiCuZ/yolov8-scripts`
-2. Enter the folder
-`cd yolov8-scripts`
-3. Git Clone Ultralytics inside this folder
-`git clone https://github.com/ultralytics/ultralytics`
-4. Run `setup.bat`. It will ask you to enter an environment name. Press Enter to use the defaults. Only change it if you know what you are doing.
-The venv should be created inside the Ultralytics folder. This will also create a few empty folders for you, and an environment activation script (`activate_venv.bat`). It should also activate the environment for you for the next step.
-5. Install torch for your version of CUDA ([Pytorch.org](https://pytorch.org/)):
-	`pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118`.
-6. Inside the (venv), install requirements using `pip install -r requirements.txt`.
-> [!TIP]
-> In the future, you can enter the virtual environment by running `activate_venv.bat`.
-## Folder structure information
-- **dataset**: Contains your dataset images and annotation files (captions), in subdirectories.
-   - **train**: Contains your training data.
-   - **valid**: Contains your validation data (start with ~10% of your training data moved here).
-   - **test**: Contains your test data (optional).
- - **generate_input**: Place the images to test your detection in here. _Note: These could also be placed inside dataset/test as long as you update the generate.py to that directory._
- - **generate_output**: Generated detections and output annotation files are placed here.
- - **models**: Downloaded base models are placed here. Place your models in here when generating.
- - **training_output**: This is where trained models (weights), curves, results and tests will end up after training.
-## Scripts
-> [!IMPORTANT]
-> Remember to enter the environment to run the scripts.
-> [train.py](https://github.com/MNeMoNiCuZ/yolov8-scripts/blob/main/train.py):
-> The training script. Configure the training folder name, epoch count, batch size and starting model. It requires the dataset to be properly setup.
-> [generate.py](https://github.com/MNeMoNiCuZ/yolov8-scripts/blob/main/generate.py):
-> The inference script used to generate detection results. Configure the model name, which classes to detect, class overrides
-> [yoloOutputCopyMatchingImages.py](https://github.com/MNeMoNiCuZ/yolov8-scripts/blob/main/yoloOutputCopyMatchingImages.py):
-> This script is a small tool to help you select and copy images from one folder, based on matching image names of another folder.
-> Example:
->   - You have a folder with input images (original) to detect something from.
->   - You run a detection model, and get another folder with overlays showing the detection.
->   - You then run a tool like [img-txt viewer](https://github.com/Nenotriple/img-txt_viewer) to remove text-image pairs of failed detections.
->   - Now you have a folder with only successful detections (curated). Now is when this script comes in.
->   - You now run the tool and choose those directories, and it will copy any original images that matches the names of the images that are in the curated folder.
->   - You can now run the (yoloOutputToYoloAnnotations.py) script to convert the output yolo detection coordinates, to yolo training annotations.
-> [yoloOutputToYoloAnnotations.py](https://github.com/MNeMoNiCuZ/yolov8-scripts/blob/main/yoloOutputToYoloAnnotations.py):
-> This script converts output yolo detection text-files, into yolo training annotation files. It's used together with the (yoloOutputCopyMatchingImages.py) script to generate training data from successful detections.
-> [dataset/CocoGetClasses.py](https://github.com/MNeMoNiCuZ/yolov8-scripts/blob/main/dataset/CocoGetClasses.py):
-> Extracts the class names from a downloaded COCO format dataset and outputs them in the Yolo training format. Place the script in the same folder as `_annotations.coco.json` and run the script. _Can be run outside of the venv._
-> [dataset/cocoToYoloAnnotations.py](https://github.com/MNeMoNiCuZ/yolov8-scripts/blob/main/dataset/CocoToYoloAnnotations.py):
-> Converts annotations from the COCO format to the Yolo training format. Place the script in the same folder as `_annotations.coco.json` and run the script. _Can be run outside of the venv._
-# Training a custom detection model
-This is not meant as a full-fledged guide, but a few guiding steps. For more information, read some [Yolo documentation](https://docs.ultralytics.com/datasets/detect/).
-## 1. Downloading a dataset
-- For our example, we will download [this watermark dataset](https://universe.roboflow.com/mfw-feoki/w6_janf) from [Roboflow.com]([https://universe.roboflow.com](https://universe.roboflow.com/mfw-feoki/w6_janf)) by user [MFW](https://universe.roboflow.com/mfw-feoki).
-> [!TIP]
-> Download the dataset in the Yolov8 format.
-![image](https://github.com/MNeMoNiCuZ/yolov8-scripts/assets/60541708/c79a6e7c-3f21-421c-8876-03676918afb8)
-- Unpack the file and move the train/test/valid-directories into the /dataset/ folder for your project.
-![image](https://github.com/MNeMoNiCuZ/yolov8-scripts/assets/60541708/5c72e5f8-531c-4668-918d-bf9c6f925831)
-## 2. Dataset preparation
-If you downloaded a Yolov8 dataset, everything should be fine already. Images are placed in `/train/images`, and the annotations are placed in `/train/labels`.
-> [!TIP]
-> You can also have both the images and annotations right inside the root of the `/train` folder without any /images and /labels subfolders. The same goes for the valid and test folders.
-If you downloaded a COCO dataset, you can use the [dataset/CocoGetClasses.py](https://github.com/MNeMoNiCuZ/yolov8-scripts/blob/main/dataset/CocoGetClasses.py) and [cocoToYoloAnnotations.py](https://github.com/MNeMoNiCuZ/yolov8-scripts/blob/main/dataset/CocoToYoloAnnotations.py) scripts to convert the dataset to yolov8. There's also a built-in command that I didn't know about when I wrote the scripts.
-## 3. Data.yaml configuration
-The [dataset/data.yaml](https://github.com/MNeMoNiCuZ/yolov8-scripts/blob/main/dataset/data.yaml) must be configured for your dataset.
-Edit the file and make sure that the number of classes matches the number of classes of your dataset, as well as the list of class names.
-For our watermarks dataset, it should be:
-```
-nc: 1 # Number of classes
-names: ['watermark'] # Class names
-```
-> [!TIP]
-> Sometimes the classes are listed on the dataset website, like the screenshot below.
->
-> ![image](https://github.com/MNeMoNiCuZ/yolov8-scripts/assets/60541708/cb85228e-6e17-4be2-aa05-8a89cf352dc5)
->
-> If it is not, you can try downloading the COCO.JSON version of the dataset, and run the CocoGetClasses.py script from this repository to extract the values you need for the dataset.yaml.
-## 4. Configure train.py
-Open `train.py` and edit some parameters.
-```
-"folder_name" is the output folder name inside the `training_output` directory.
-"starting_model" is which model to use for your training. You can copy the standard yolov8 models from the list above. The Nano-model is the smallest, trains faster, but usually performs worse. And Xtra Large is the opposite.
-"epoch_count" how many versions do you wish to train. 50 may be a good starting point. For a small model, or a model with a very small dataset, you could set this to 500. The training will automatically stop if no improvement is made in 50 epochs.
-```
-## 5. Run train.py
-While inside the environment, run `python train.py` to launch the training.
-Hopefully, you should have something like this now:
-![image](https://github.com/MNeMoNiCuZ/yolov8-scripts/assets/60541708/5cbc9997-5274-42ca-a193-57cd553e5a91)
-If you need to cancel the training, you can just close the window or press `CTRL + C` to interrupt.
-You can find test results and your models in the `training_output` directory.
-The script will always save your latest model (last.pt) and the currently best performing model (best.pt), in the /training_output/project_name/weights/ directory.
-## 6. Generate / Detect / Test your model
-Copy your output model into the `models` directory, you can also rename it to something suitable, like `watermarks_s_yolov8_v1.pt`.
-> [!TIP]
-> You may want to try both the `last.pt` and `best.pt` separately to see which model perfoms the best for you.
-Open `generate.py` to edit some parameters.
-```
-"model_path" is the path to your model.
-"selected_classes" is a list of the classes you wish to identify and detect when running the script.
-"class_overrides" is a list of overrides. Use this if you wish to substitute one class with another. This could be useful if the model is trained on the classes in the wrong order, or if you just wish to change the name of the label in the overlay images.
-"confidence_threshold" is the detection confidence needed to make it consider it a positive detection.
-```
-Now place all images you wish to test your model on in the `/generate_input` folder.
-While inside the environment, run `python generate.py` to launch the generation.
-The output images with annotations overlay, as well as the detections text-files will be found in the `/generate_output` folder.
-![image](https://github.com/MNeMoNiCuZ/yolov8-scripts/assets/60541708/6d3a2c3c-5c84-4970-b016-59c6394e219a)
-# F.A.Q / Known Issues
-### No images found in {img_path}
-```
-Traceback (most recent call last):
-  File "[YOUR INSTALL PATH HERE]\ultralytics\ultralytics-venv\Lib\site-packages\ultralytics\data\base.py", line 119, in get_img_files
-    assert im_files, f"{self.prefix}No images found in {img_path}"
-AssertionError: train: No images found in D:\AI\Projects\Yolov8Tutorial\dataset\train
-```
-> [!WARNING]
-> Ensure that your training data is available in the /dataset/train/ folder.
-### NotImplementedError: Could not run 'torchvision::nms'
-```
-NotImplementedError: Could not run 'torchvision::nms' with arguments from the 'CUDA' backend. This could be because the operator doesn't exist for this backend, or was omitted during the selective/custom build process (if using custom build). If you are a Facebook employee using PyTorch on mobile, please visit https://fburl.com/ptmfixes for possible resolutions. 'torchvision::nms' is only available for these backends: [CPU, Meta, QuantizedCPU, BackendSelect, Python, FuncTorchDynamicLayerBackMode, Functionalize, Named, Conjugate, Negative, ZeroTensor, ADInplaceOrView, AutogradOther, AutogradCPU, AutogradCUDA, AutogradXLA, AutogradMPS, AutogradXPU, AutogradHPU, AutogradLazy, AutogradMeta, Tracer, AutocastCPU, AutocastCUDA, FuncTorchBatched, BatchedNestedTensor, FuncTorchVmapMode, Batched, VmapMode, FuncTorchGradWrapper, PythonTLSSnapshot, FuncTorchDynamicLayerFrontMode, PreDispatch, PythonDispatcher].
-```
-> [!CAUTION]
-> It's likely a pytorch installation issue.
->
-> Activate the venv and run this command `pip list`.
->
-> Look for the torch, torchaudio and torchvision lines. They should say something like:
->
-> 	- torch              2.2.0+cu118
-> 	- torchaudio         2.2.0+cu118
-> 	- torchvision        0.17.0+cu118
->
-> If they don't have +cu118, your cuda installation is not working in the environment.
->
-> Make sure you follow the installation steps in the exact order. If they are done in the wrong order, you may not have a working environment.
->
-> You can try this command and see if it helps: `pip install torchvision --upgrade --force-reinstall`.

+---
+license: apache-2.0
+library_name: ultralytics
+datasets:
+- wider_face
+- skytnt/anime-segmentation
+tags:
+- pytorch
+---
+# YOLOv8 Detection Model
+## Datasets
+### Face
+- [Anime Face CreateML](https://universe.roboflow.com/my-workspace-mph8o/anime-face-createml)
+- [xml2txt](https://universe.roboflow.com/0oooooo0/xml2txt-njqx1)
+- [AN](https://universe.roboflow.com/sed-b8vkf/an-lfg5i)
+- [wider face](http://shuoyang1213.me/WIDERFACE/index.html)
+### Hand
+- [AnHDet](https://universe.roboflow.com/1-yshhi/anhdet)
+- [hand-detection-fuao9](https://universe.roboflow.com/catwithawand/hand-detection-fuao9)
+### Person
+- [coco2017](https://cocodataset.org/#home) (only person)
+- [AniSeg](https://github.com/jerryli27/AniSeg)
+- [skytnt/anime-segmentation](https://huggingface.co/datasets/skytnt/anime-segmentation)
+### deepfashion2
+- [deepfashion2](https://github.com/switchablenorms/DeepFashion2)
+| id  | label                 |
+| --- | --------------------- |
+| 0   | short_sleeved_shirt   |
+| 1   | long_sleeved_shirt    |
+| 2   | short_sleeved_outwear |
+| 3   | long_sleeved_outwear  |
+| 4   | vest                  |
+| 5   | sling                 |
+| 6   | shorts                |
+| 7   | trousers              |
+| 8   | skirt                 |
+| 9   | short_sleeved_dress   |
+| 10  | long_sleeved_dress    |
+| 11  | vest_dress            |
+| 12  | sling_dress           |
+## Info
+| Model                       | Target                | mAP 50                        | mAP 50-95                     |
+| --------------------------- | --------------------- | ----------------------------- | ----------------------------- |
+| face_yolov8n.pt             | 2D / realistic face   | 0.660                         | 0.366                         |
+| face_yolov8n_v2.pt          | 2D / realistic face   | 0.669                         | 0.372                         |
+| face_yolov8s.pt             | 2D / realistic face   | 0.713                         | 0.404                         |
+| face_yolov8m.pt             | 2D / realistic face   | 0.737                         | 0.424                         |
+| face_yolov9c.pt             | 2D / realistic face   | 0.748                         | 0.433                         |
+| hand_yolov8n.pt             | 2D / realistic hand   | 0.767                         | 0.505                         |
+| hand_yolov8s.pt             | 2D / realistic hand   | 0.794                         | 0.527                         |
+| hand_yolov9c.pt             | 2D / realistic hand   | 0.810                         | 0.550                         |
+| person_yolov8n-seg.pt       | 2D / realistic person | 0.782 (bbox)<br/>0.761 (mask) | 0.555 (bbox)<br/>0.460 (mask) |
+| person_yolov8s-seg.pt       | 2D / realistic person | 0.824 (bbox)<br/>0.809 (mask) | 0.605 (bbox)<br/>0.508 (mask) |
+| person_yolov8m-seg.pt       | 2D / realistic person | 0.849 (bbox)<br/>0.831 (mask) | 0.636 (bbox)<br/>0.533 (mask) |
+| deepfashion2_yolov8s-seg.pt | realistic clothes     | 0.849 (bbox)<br/>0.840 (mask) | 0.763 (bbox)<br/>0.675 (mask) |
+## Usage
+```python
+from huggingface_hub import hf_hub_download
+from ultralytics import YOLO
+path = hf_hub_download("Bingsu/adetailer", "face_yolov8n.pt")
+model = YOLO(path)
+```
+```python
+import cv2
+from PIL import Image
+img = "https://farm5.staticflickr.com/4139/4887614566_6b57ec4422_z.jpg"
+output = model(img)
+pred = output[0].plot()
+pred = cv2.cvtColor(pred, cv2.COLOR_BGR2RGB)
+pred = Image.fromarray(pred)
+pred
+```
+![image](https://i.imgur.com/9ny1wmD.png)
+## Unsafe files
+![image](https://i.imgur.com/9Btuy8j.png)
+Since `getattr` is classified as a dangerous pickle function, any segmentation model that uses it is classified as unsafe.
+All models were created and saved using the official [ultralytics](https://github.com/ultralytics/ultralytics) library, so it's okay to use files downloaded from a trusted source.
+See also: https://huggingface.co/docs/hub/security-pickle

adetailer/assdetailer-seg.pt ADDED Viewed

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+version https://git-lfs.github.com/spec/v1
+oid sha256:473e2be63bb6ea49128e123211b32f13181c49fb12c1468bf2c84100e382fd29
+size 23853933

adetailer/assdetailerAdetailerModelFor_v2Segm_1213760.html ADDED Viewed

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+                <head>
+                <meta charset="UTF-8">
+                    <link rel="stylesheet" type="text/css" href="/content/A1111/extensions/sd-civitai-browser-plus/style_html.css">
+                </head>
+                <div class="model-block">
+                    <h2><a href=https://civitai.com/models/1156687 target="_blank" id="model_header">assDetailer, aDetailer model for butts, rears, pants, and panties</a></h2>
+                    <h3 class="model-uploader">Uploaded by <a href="https://civitai.com/user/cranpeach" target="_blank">cranpeach</a><div class="avatar"><img src=https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/15644d7a-d037-40c6-8432-e69c9f162e62/width=96/cranpeach.jpeg></div></h3>
+                    <div class="civitai-version-info" style="display:flex; flex-wrap:wrap; justify-content:space-between;">
+                        <dl id="info_block">
+                            <dt>Version</dt>
+                            <dd>v2-segm</dd>
+                            <dt>Base Model</dt>
+                            <dd>Other</dd>
+                            <dt>Published</dt>
+                            <dd>2025-01-20</dd>
+                            <dt>Availability</dt>
+                            <dd>Public</dd>
+                            <dt>CivitAI Tags</dt>
+                            <dd>
+                                <div class="civitai-tags-container">
+                                    <span class="civitai-tag">woman</span><span class="civitai-tag">adetailer</span><span class="civitai-tag">butt</span><span class="civitai-tag">tool</span>
+                                </div>
+                            </dd>
+                            <dt>Download Link</dt>
+                            <dd><a href=https://civitai.com/api/download/models/1309631 target="_blank">https://civitai.com/api/download/models/1309631</a></dd>
+                        </dl>
+                        <div style="align-self:center; min-width:320px;">
+                            <div>
+                                <p style="line-height: 2; font-weight: bold;"><span style="display:inline-block;vertical-align:middle;"><svg width="15" height="15" viewBox="0 1.5 24 24" stroke-width="4" stroke-linecap="round" stroke="lime"><path d="M5 12l5 5l10 -10"></path></svg></span> Use the model without crediting the creator<br/><span style="display:inline-block;vertical-align:middle;"><svg width="15" height="15" viewBox="0 1.5 24 24" stroke-width="4" stroke-linecap="round" stroke="lime"><path d="M5 12l5 5l10 -10"></path></svg></span> Sell images they generate<br/><span style="display:inline-block;vertical-align:middle;"><svg width="15" height="15" viewBox="0 1.5 24 24" stroke-width="4" stroke-linecap="round" stroke="lime"><path d="M5 12l5 5l10 -10"></path></svg></span> Run on services that generate images for money<br/><span style="display:inline-block;vertical-align:middle;"><svg width="15" height="15" viewBox="0 1.5 24 24" stroke-width="4" stroke-linecap="round" stroke="lime"><path d="M5 12l5 5l10 -10"></path></svg></span> Run on Civitai<br/><span style="display:inline-block;vertical-align:middle;"><svg width="15" height="15" viewBox="0 1.5 24 24" stroke-width="4" stroke-linecap="round" stroke="lime"><path d="M5 12l5 5l10 -10"></path></svg></span> Share merges using this model<br/><span style="display:inline-block;vertical-align:middle;"><svg width="15" height="15" viewBox="0 1.5 24 24" stroke-width="4" stroke-linecap="round" stroke="red"><path d="M18 6l-12 12"></path><path d="M6 6l12 12"></path></svg></span> Sell this model or merges using this model<br/><span style="display:inline-block;vertical-align:middle;"><svg width="15" height="15" viewBox="0 1.5 24 24" stroke-width="4" stroke-linecap="round" stroke="lime"><path d="M5 12l5 5l10 -10"></path></svg></span> Have different permissions when sharing merges</p>
+                            </div>
+                        </div>
+                    </div>
+                    <input type="checkbox" id="civitai-description" class="description-toggle-checkbox">
+                    <div class="model-description">
+                        <h2>Description</h2>
+                        <p><strong>Put the .pt model file under models/adetailer</strong></p><p><u>v2-segmentation version:</u></p><ul><li><p>An <a target="_blank" rel="ugc" href="https://github.com/Bing-su/adetailer">aDetailer </a>model that should work for realistic, semi realistic, anime, small butts, large butts, humongous butts, butts having intercourse, butts wearing pants, thongs, panties, etc.</p></li></ul><p>This version is trained on <em>YOLOv8</em>-<em>seg - </em>the instance segmentation model. Basically it is more specific to the part it is targeting instead of a bounding box, it is also trained on 10 additional images than v1 in hopes to help with wet/shiny butts from different angles.</p><p>Trained on 310 images, 50 epochs. It will definitely give false positives and sometimes not detect one or two but overall pretty consistent - this is technically the 9th iteration.</p><p>The example images are merely showcasing the ability to detect the ass, it is technically prior to the aDetailer being used on it. When using it on a tall image I suggest using a separate width/height to either be square or wider</p><p><img style="max-width: -webkit-fill-available;" src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/f6fddbd7-8fbd-4003-bb99-d5457e9dc7d0/width=525/f6fddbd7-8fbd-4003-bb99-d5457e9dc7d0.jpeg" /><u>v1-bbox release notes:</u></p><p><em>*thanks to anyone who participated in the early access</em>*</p><p><strong>Put the .pt model file under models/adetailer</strong></p><p>An <a target="_blank" rel="ugc" href="https://github.com/Bing-su/adetailer">aDetailer </a>model that should work for realistic, semi realistic, anime, small butts, large butts, humongous butts, butts having intercourse, butts wearing pants, thongs, panties, etc.</p><p>Trained on around 300 images, 50 epochs. It will definitely give false positives and sometimes not detect one or two but overall pretty consistent - this is technically the 7th iteration.</p><p>The example images are merely showcasing the ability to detect the ass, it is technically prior to the aDetailer being used on it. When using it on a tall image I suggest using a separate width/height to either be square or wider</p><p><img style="max-width: -webkit-fill-available;" src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/f6fddbd7-8fbd-4003-bb99-d5457e9dc7d0/width=525/f6fddbd7-8fbd-4003-bb99-d5457e9dc7d0.jpeg" /></p>
+                    </div>
+                    <label for="civitai-description" class="description-toggle-label"></label>
+                </div>
+                <div align=center><div class="sampleimgs"><input type="radio" name="zoomRadio" id="resetZoom" class="zoom-radio" checked>
+                    <div class="model-block" style="display:flex;align-items:flex-start;">
+                    <div class="civitai-image-container">
+                    <input type="radio" name="zoomRadio" id="zoomRadio0" class="zoom-radio">
+                    <label for="zoomRadio0" class="zoom-img-container">
+                    <img data-sampleimg="true" src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/4fd54e8b-2d32-48f7-bc6e-3dd8d874a6d2/original=true/52881295.jpeg">
+                        </label>
+                        <label for="resetZoom" class="zoom-overlay"></label>
+                            <div class="civitai_txt2img" style="margin-top:30px;margin-bottom:30px;">
+                            <label onclick='sendImgUrl("https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/4fd54e8b-2d32-48f7-bc6e-3dd8d874a6d2/original=true/52881295.jpeg")' class="civitai-txt2img-btn" style="max-width:fit-content;cursor:pointer;">Send to txt2img</label>
+                            </div></div>
+                        <div style="margin:1em 0em 1em 1em;text-align:left;line-height:1.5em;" id="image_info"><dl style="gap:10px; display:grid;"><div class="civitai-meta-btn" onclick="metaToTxt2Img('Prompt', this)"><dt>Prompt</dt><dd>nm_fitbutt, wii fit trainer, large ass, full body, blond hair, blue eyes, BREAK 1girl, solo, pants, shoes, sneakers, black leggings, yoga pants, shirt, park,
+&lt;lora:nm_fitbutt_Ill:1&gt;, masterpiece, best quality, newest, absurdres, highres</dd></div><div class="civitai-meta-btn" onclick="metaToTxt2Img('Negative prompt', this)"><dt>Negative prompt</dt><dd>worst quality,bad quality,bad hands,very displeasing,extra digit,fewer digits,jpeg artifacts,signature,username,reference,mutated,lineup,manga,comic,disembodied,futanari,yaoi,dickgirl,turnaround,2koma,4koma,monster,cropped,amputee,text,bad foreshortening,what,guro,logo,bad anatomy,bad perspective,bad proportions,artistic error,anatomical nonsense,amateur,out of frame,multiple views,weibo username,</dd></div><div class="civitai-meta-btn" onclick="metaToTxt2Img('Seed', this)"><dt>Seed</dt><dd>469203636</dd></div><div class="civitai-meta-btn" onclick="metaToTxt2Img('Size', this)"><dt>Size</dt><dd>832x1216</dd></div><div class="civitai-meta-btn" onclick="metaToTxt2Img('Model', this)"><dt>Model</dt><dd>waiNSFWIllustrious_v90</dd></div><div class="civitai-meta-btn" onclick="metaToTxt2Img('Sampler', this)"><dt>Sampler</dt><dd>DPM++ 2M</dd></div><div class="civitai-meta-btn" onclick="metaToTxt2Img('Steps', this)"><dt>Steps</dt><dd>28</dd></div><div class="civitai-meta-btn" onclick="metaToTxt2Img('CFG scale', this)"><dt>CFG scale</dt><dd>5</dd></div>
+                            <div class="tabs">
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+                                    <input type="checkbox" class="accordionCheckbox" id="chck0">
+                                    <label class="tab-label" for="chck0">More details...</label>
+                                    <div class="tab-content" style="gap:10px;display:grid;margin-left:1px;">
+                            <div class="civitai-meta"><dt>Vae</dt><dd>sdxl_vae.safetensors</dd></div><div class="civitai-meta"><dt>Hashes</dt><dd>{&#x27;vae&#x27;: &#x27;235745af8d&#x27;, &#x27;model&#x27;: &#x27;178fc987b2&#x27;, &#x27;lora:nm_fitbutt_Ill&#x27;: &#x27;c794cabd423e&#x27;}</dd></div><div class="civitai-meta"><dt>Version</dt><dd>f1.1.5-v1.10.1RC-latest-909-gb203a4d5</dd></div><div class="civitai-meta"><dt>Clipskip</dt><dd>2</dd></div><div class="civitai-meta"><dt>Resources</dt><dd>[{&#x27;hash&#x27;: &#x27;c794cabd423e&#x27;, &#x27;name&#x27;: &#x27;nm_fitbutt_Ill&#x27;, &#x27;type&#x27;: &#x27;lora&#x27;, &#x27;weight&#x27;: 1}, {&#x27;hash&#x27;: &#x27;178fc987b2&#x27;, &#x27;name&#x27;: &#x27;waiNSFWIllustrious_v90&#x27;, &#x27;type&#x27;: &#x27;model&#x27;}]</dd></div><div class="civitai-meta"><dt>Model hash</dt><dd>178fc987b2</dd></div><div class="civitai-meta"><dt>Hires steps</dt><dd>10</dd></div><div class="civitai-meta"><dt>Hires upscale</dt><dd>1.35</dd></div><div class="civitai-meta"><dt>Schedule type</dt><dd>Karras</dd></div><div class="civitai-meta"><dt>Hires upscaler</dt><dd>4x-UltraSharp</dd></div><div class="civitai-meta"><dt>Adetailer model</dt><dd>face_yolov8n.pt</dd></div><div class="civitai-meta"><dt>Hires cfg scale</dt><dd>5</dd></div><div class="civitai-meta"><dt>Adetailer version</dt><dd>24.11.1</dd></div><div class="civitai-meta"><dt>Denoising strength</dt><dd>0.4</dd></div><div class="civitai-meta"><dt>Adetailer mask blur</dt><dd>4</dd></div><div class="civitai-meta"><dt>Adetailer model 2nd</dt><dd>assdetailerseg2best.pt</dd></div><div class="civitai-meta"><dt>Adetailer confidence</dt><dd>0.3</dd></div><div class="civitai-meta"><dt>Adetailer dilate erode</dt><dd>4</dd></div><div class="civitai-meta"><dt>Adetailer inpaint width</dt><dd>1024</dd></div><div class="civitai-meta"><dt>Adetailer mask blur 2nd</dt><dd>4</dd></div><div class="civitai-meta"><dt>Adetailer confidence 2nd</dt><dd>0.3</dd></div><div class="civitai-meta"><dt>Adetailer inpaint height</dt><dd>1024</dd></div><div class="civitai-meta"><dt>Adetailer inpaint padding</dt><dd>32</dd></div><div class="civitai-meta"><dt>Adetailer dilate erode 2nd</dt><dd>4</dd></div><div class="civitai-meta"><dt>Adetailer inpaint width 2nd</dt><dd>1024</dd></div><div class="civitai-meta"><dt>Adetailer denoising strength</dt><dd>0.4</dd></div><div class="civitai-meta"><dt>Adetailer inpaint height 2nd</dt><dd>1024</dd></div><div class="civitai-meta"><dt>Adetailer inpaint only masked</dt><dd>True</dd></div><div class="civitai-meta"><dt>Adetailer inpaint padding 2nd</dt><dd>32</dd></div><div class="civitai-meta"><dt>Adetailer denoising strength 2nd</dt><dd>0.4</dd></div><div class="civitai-meta"><dt>Adetailer inpaint only masked 2nd</dt><dd>True</dd></div><div class="civitai-meta"><dt>Adetailer use inpaint width height</dt><dd>True</dd></div><div class="civitai-meta"><dt>Adetailer use inpaint width height 2nd</dt><dd>True</dd></div></div></div></div></dl></div></div>
+                    <div class="civnsfw model-block" style="display:flex;align-items:flex-start;">
+                    <div class="civitai-image-container">
+                    <input type="radio" name="zoomRadio" id="zoomRadio1" class="zoom-radio">
+                    <label for="zoomRadio1" class="zoom-img-container">
+                    <img data-sampleimg="true" src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/32df5e1f-3b8b-40d2-a983-08a0700d720a/original=true/52881288.jpeg">
+                        </label>
+                        <label for="resetZoom" class="zoom-overlay"></label>
+                            <div class="civitai_txt2img" style="margin-top:30px;margin-bottom:30px;">
+                            <label onclick='sendImgUrl("https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/32df5e1f-3b8b-40d2-a983-08a0700d720a/original=true/52881288.jpeg")' class="civitai-txt2img-btn" style="max-width:fit-content;cursor:pointer;">Send to txt2img</label>
+                            </div></div>
+                        <div style="margin:1em 0em 1em 1em;text-align:left;line-height:1.5em;" id="image_info"><dl style="gap:10px; display:grid;"><div class="civitai-meta-btn" onclick="metaToTxt2Img('Prompt', this)"><dt>Prompt</dt><dd>ass, 1girl, smile, from below, dutch angle, photorealistic, dutch angle, colorful, lying, planetarium, volumetric lighting , sexy, skindentation,skin tight, ass, naughty face, posing, towel, widowmaker \(overwatch\),  purple skin, colored skin, slim, swimsuit, surprised, wet, blush, covered nipples, cameltoe, masterpiece, best quality, amazing quality, very aesthetic, absurdres, newest, scenery, volumetric lighting,, masterpiece, best quality, amazing quality, very aesthetic, absurdres,</dd></div><div class="civitai-meta-btn" onclick="metaToTxt2Img('Negative prompt', this)"><dt>Negative prompt</dt><dd>lowres, (worst quality, bad quality:1.2), bad anatomy, sketch, jpeg artifacts, signature, watermark, old, oldest, censored, bar_censor, (pregnant), chibi, loli, simple background, conjoined, futanari,</dd></div><div class="civitai-meta-btn" onclick="metaToTxt2Img('Seed', this)"><dt>Seed</dt><dd>501631714</dd></div><div class="civitai-meta-btn" onclick="metaToTxt2Img('Size', this)"><dt>Size</dt><dd>832x1216</dd></div><div class="civitai-meta-btn" onclick="metaToTxt2Img('Model', this)"><dt>Model</dt><dd>ntrMIXIllustriousXL_xiii</dd></div><div class="civitai-meta-btn" onclick="metaToTxt2Img('Sampler', this)"><dt>Sampler</dt><dd>DPM++ 2M</dd></div><div class="civitai-meta-btn" onclick="metaToTxt2Img('Steps', this)"><dt>Steps</dt><dd>30</dd></div><div class="civitai-meta-btn" onclick="metaToTxt2Img('CFG scale', this)"><dt>CFG scale</dt><dd>7</dd></div>
+                            <div class="tabs">
+                                <div class="tab">
+                                    <input type="checkbox" class="accordionCheckbox" id="chck1">
+                                    <label class="tab-label" for="chck1">More details...</label>
+                                    <div class="tab-content" style="gap:10px;display:grid;margin-left:1px;">
+                            <div class="civitai-meta"><dt>Vae</dt><dd>sdxl_vae.safetensors</dd></div><div class="civitai-meta"><dt>Hashes</dt><dd>{&#x27;vae&#x27;: &#x27;235745af8d&#x27;, &#x27;model&#x27;: &#x27;1207404b17&#x27;}</dd></div><div class="civitai-meta"><dt>Version</dt><dd>f1.1.5-v1.10.1RC-latest-909-gb203a4d5</dd></div><div class="civitai-meta"><dt>Clipskip</dt><dd>2</dd></div><div class="civitai-meta"><dt>Resources</dt><dd>[{&#x27;hash&#x27;: &#x27;1207404b17&#x27;, &#x27;name&#x27;: &#x27;ntrMIXIllustriousXL_xiii&#x27;, &#x27;type&#x27;: &#x27;model&#x27;}]</dd></div><div class="civitai-meta"><dt>Model hash</dt><dd>1207404b17</dd></div><div class="civitai-meta"><dt>Hires steps</dt><dd>10</dd></div><div class="civitai-meta"><dt>Hires upscale</dt><dd>1.3</dd></div><div class="civitai-meta"><dt>Schedule type</dt><dd>Karras</dd></div><div class="civitai-meta"><dt>Hires upscaler</dt><dd>Latent</dd></div><div class="civitai-meta"><dt>Adetailer model</dt><dd>assdetailerseg2best.pt</dd></div><div class="civitai-meta"><dt>Hires cfg scale</dt><dd>7</dd></div><div class="civitai-meta"><dt>Adetailer version</dt><dd>24.11.1</dd></div><div class="civitai-meta"><dt>Denoising strength</dt><dd>0.7</dd></div><div class="civitai-meta"><dt>Adetailer mask blur</dt><dd>4</dd></div><div class="civitai-meta"><dt>Adetailer confidence</dt><dd>0.3</dd></div><div class="civitai-meta"><dt>Adetailer dilate erode</dt><dd>4</dd></div><div class="civitai-meta"><dt>Adetailer inpaint width</dt><dd>1024</dd></div><div class="civitai-meta"><dt>Adetailer inpaint height</dt><dd>1024</dd></div><div class="civitai-meta"><dt>Adetailer inpaint padding</dt><dd>32</dd></div><div class="civitai-meta"><dt>Adetailer denoising strength</dt><dd>0.4</dd></div><div class="civitai-meta"><dt>Adetailer inpaint only masked</dt><dd>True</dd></div><div class="civitai-meta"><dt>Adetailer use inpaint width height</dt><dd>True</dd></div></div></div></div></dl></div></div>
+                    <div class="civnsfw model-block" style="display:flex;align-items:flex-start;">
+                    <div class="civitai-image-container">
+                    <input type="radio" name="zoomRadio" id="zoomRadio2" class="zoom-radio">
+                    <label for="zoomRadio2" class="zoom-img-container">
+                    <img data-sampleimg="true" src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/5cd95e64-2ab1-472d-ba7e-f3005d0806fe/original=true/52881290.jpeg">
+                        </label>
+                        <label for="resetZoom" class="zoom-overlay"></label>
+                            <div class="civitai_txt2img" style="margin-top:30px;margin-bottom:30px;">
+                            <label onclick='sendImgUrl("https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/5cd95e64-2ab1-472d-ba7e-f3005d0806fe/original=true/52881290.jpeg")' class="civitai-txt2img-btn" style="max-width:fit-content;cursor:pointer;">Send to txt2img</label>
+                            </div></div>
+                        <div style="margin:1em 0em 1em 1em;text-align:left;line-height:1.5em;" id="image_info"><dl style="gap:10px; display:grid;"><div class="civitai-meta-btn" onclick="metaToTxt2Img('Prompt', this)"><dt>Prompt</dt><dd>lap dance, sitting on lap, ass 1girl , jewelry, green eyes, earrings, green hair, muscular, spiked hair, super saiyan, strapless, bare shoulders, large breasts, black saiyan armor, midriff, black panties, thong, scouter, strip club, stripper pole, parted lips, smile, teeth, black lips, half-closed eyes, makeup, electricity,aura, looking at viewer,
+BREAK (pov crotch, 1boy, bulge,:1.2) clothed male nude female,
+&lt;lora:Saiyan_Armor_IL:1&gt;, masterpiece, best quality, newest, absurdres, highres</dd></div><div class="civitai-meta-btn" onclick="metaToTxt2Img('Negative prompt', this)"><dt>Negative prompt</dt><dd>sunglasses, glasses, worst quality,bad quality,bad hands,very displeasing,extra digit,fewer digits,jpeg artifacts,signature,username,reference,mutated,lineup,manga,comic,disembodied,futanari,yaoi,dickgirl,turnaround,2koma,4koma,monster,cropped,amputee,text,bad foreshortening,what,guro,logo,bad anatomy,bad perspective,bad proportions,artistic error,anatomical nonsense,amateur,out of frame,multiple views,weibo username,</dd></div><div class="civitai-meta-btn" onclick="metaToTxt2Img('Seed', this)"><dt>Seed</dt><dd>767739173</dd></div><div class="civitai-meta-btn" onclick="metaToTxt2Img('Size', this)"><dt>Size</dt><dd>832x1216</dd></div><div class="civitai-meta-btn" onclick="metaToTxt2Img('Model', this)"><dt>Model</dt><dd>realismIllustriousBy_v22BF16</dd></div><div class="civitai-meta-btn" onclick="metaToTxt2Img('Sampler', this)"><dt>Sampler</dt><dd>DPM++ 2M</dd></div><div class="civitai-meta-btn" onclick="metaToTxt2Img('Steps', this)"><dt>Steps</dt><dd>28</dd></div><div class="civitai-meta-btn" onclick="metaToTxt2Img('CFG scale', this)"><dt>CFG scale</dt><dd>5</dd></div>
+                            <div class="tabs">
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+                                    <input type="checkbox" class="accordionCheckbox" id="chck2">
+                                    <label class="tab-label" for="chck2">More details...</label>
+                                    <div class="tab-content" style="gap:10px;display:grid;margin-left:1px;">
+                            <div class="civitai-meta"><dt>Vae</dt><dd>sdxl_vae.safetensors</dd></div><div class="civitai-meta"><dt>Hashes</dt><dd>{&#x27;vae&#x27;: &#x27;235745af8d&#x27;, &#x27;model&#x27;: &#x27;8371d6e741&#x27;, &#x27;lora:Saiyan_Armor_IL&#x27;: &#x27;aa8854954491&#x27;}</dd></div><div class="civitai-meta"><dt>Version</dt><dd>f1.1.5-v1.10.1RC-latest-909-gb203a4d5</dd></div><div class="civitai-meta"><dt>Clipskip</dt><dd>2</dd></div><div class="civitai-meta"><dt>Resources</dt><dd>[{&#x27;hash&#x27;: &#x27;aa8854954491&#x27;, &#x27;name&#x27;: &#x27;Saiyan_Armor_IL&#x27;, &#x27;type&#x27;: &#x27;lora&#x27;, &#x27;weight&#x27;: 1}, {&#x27;hash&#x27;: &#x27;8371d6e741&#x27;, &#x27;name&#x27;: &#x27;realismIllustriousBy_v22BF16&#x27;, &#x27;type&#x27;: &#x27;model&#x27;}]</dd></div><div class="civitai-meta"><dt>Model hash</dt><dd>8371d6e741</dd></div><div class="civitai-meta"><dt>Hires steps</dt><dd>10</dd></div><div class="civitai-meta"><dt>Hires upscale</dt><dd>1.35</dd></div><div class="civitai-meta"><dt>Schedule type</dt><dd>Karras</dd></div><div class="civitai-meta"><dt>Hires upscaler</dt><dd>NMKD Superscale</dd></div><div class="civitai-meta"><dt>Adetailer model</dt><dd>face_yolov8n.pt</dd></div><div class="civitai-meta"><dt>Hires cfg scale</dt><dd>5</dd></div><div class="civitai-meta"><dt>Adetailer version</dt><dd>24.11.1</dd></div><div class="civitai-meta"><dt>Denoising strength</dt><dd>0.4</dd></div><div class="civitai-meta"><dt>Adetailer mask blur</dt><dd>4</dd></div><div class="civitai-meta"><dt>Adetailer model 2nd</dt><dd>assdetailerseg2best.pt</dd></div><div class="civitai-meta"><dt>Adetailer confidence</dt><dd>0.3</dd></div><div class="civitai-meta"><dt>Adetailer dilate erode</dt><dd>4</dd></div><div class="civitai-meta"><dt>Adetailer inpaint width</dt><dd>1024</dd></div><div class="civitai-meta"><dt>Adetailer mask blur 2nd</dt><dd>4</dd></div><div class="civitai-meta"><dt>Adetailer confidence 2nd</dt><dd>0.3</dd></div><div class="civitai-meta"><dt>Adetailer inpaint height</dt><dd>1024</dd></div><div class="civitai-meta"><dt>Adetailer inpaint padding</dt><dd>32</dd></div><div class="civitai-meta"><dt>Adetailer dilate erode 2nd</dt><dd>4</dd></div><div class="civitai-meta"><dt>Adetailer inpaint width 2nd</dt><dd>1024</dd></div><div class="civitai-meta"><dt>Adetailer denoising strength</dt><dd>0.4</dd></div><div class="civitai-meta"><dt>Adetailer inpaint height 2nd</dt><dd>1024</dd></div><div class="civitai-meta"><dt>Adetailer inpaint only masked</dt><dd>True</dd></div><div class="civitai-meta"><dt>Adetailer inpaint padding 2nd</dt><dd>32</dd></div><div class="civitai-meta"><dt>Adetailer denoising strength 2nd</dt><dd>0.4</dd></div><div class="civitai-meta"><dt>Adetailer inpaint only masked 2nd</dt><dd>True</dd></div><div class="civitai-meta"><dt>Adetailer use inpaint width height</dt><dd>True</dd></div><div class="civitai-meta"><dt>Adetailer use inpaint width height 2nd</dt><dd>True</dd></div></div></div></div></dl></div></div>
+                    <div class="model-block" style="display:flex;align-items:flex-start;">
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+                        <label for="resetZoom" class="zoom-overlay"></label>
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+                            <label onclick='sendImgUrl("https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/9af6f639-28ad-44d4-b0e0-5f1f3d1a85e1/original=true/52881297.jpeg")' class="civitai-txt2img-btn" style="max-width:fit-content;cursor:pointer;">Send to txt2img</label>
+                            </div></div>
+                        <div style="margin:1em 0em 1em 1em;text-align:left;line-height:1.5em;" id="image_info"><dl style="gap:10px; display:grid;"><div class="civitai-meta-btn" onclick="metaToTxt2Img('Prompt', this)"><dt>Prompt</dt><dd>raichiyo33, android 18, short hair, blue eyes, blonde hair, 1girl BREAK, black saiyan armor, shoulder strap, bare shoulders, denim shorts, cutoffs, midriff, bubble butt, medium ass, from behind, looking back, midriff, ass, cowboy shot, white gloves, library &lt;lora:Saiyan_Armor_IL:1&gt; &lt;lora:bubble_butt_v4-noob_vpred-LoRA:0.8&gt;,, masterpiece, best quality, newest, absurdres, highres &lt;lora:Raichiyo_IL:0.8&gt;, masterpiece, best quality, newest, absurdres, highres</dd></div><div class="civitai-meta-btn" onclick="metaToTxt2Img('Negative prompt', this)"><dt>Negative prompt</dt><dd>worst quality,bad quality,bad hands,very displeasing,extra digit,fewer digits,jpeg artifacts,signature,username,reference,mutated,lineup,manga,comic,disembodied,futanari,yaoi,dickgirl,turnaround,2koma,4koma,monster,cropped,amputee,text,bad foreshortening,what,guro,logo,bad anatomy,bad perspective,bad proportions,artistic error,anatomical nonsense,amateur,out of frame,multiple views,weibo username,</dd></div><div class="civitai-meta-btn" onclick="metaToTxt2Img('Seed', this)"><dt>Seed</dt><dd>1282058621</dd></div><div class="civitai-meta-btn" onclick="metaToTxt2Img('Size', this)"><dt>Size</dt><dd>832x1216</dd></div><div class="civitai-meta-btn" onclick="metaToTxt2Img('Model', this)"><dt>Model</dt><dd>waiNSFWIllustrious_v90</dd></div><div class="civitai-meta-btn" onclick="metaToTxt2Img('Sampler', this)"><dt>Sampler</dt><dd>DPM++ 2M</dd></div><div class="civitai-meta-btn" onclick="metaToTxt2Img('Steps', this)"><dt>Steps</dt><dd>28</dd></div><div class="civitai-meta-btn" onclick="metaToTxt2Img('CFG scale', this)"><dt>CFG scale</dt><dd>5</dd></div>
+                            <div class="tabs">
+                                <div class="tab">
+                                    <input type="checkbox" class="accordionCheckbox" id="chck3">
+                                    <label class="tab-label" for="chck3">More details...</label>
+                                    <div class="tab-content" style="gap:10px;display:grid;margin-left:1px;">
+                            <div class="civitai-meta"><dt>Vae</dt><dd>sdxl_vae.safetensors</dd></div><div class="civitai-meta"><dt>Hashes</dt><dd>{&#x27;vae&#x27;: &#x27;235745af8d&#x27;, &#x27;model&#x27;: &#x27;178fc987b2&#x27;, &#x27;lora:Raichiyo_IL&#x27;: &#x27;60715d2c3722&#x27;, &#x27;lora:Saiyan_Armor_IL&#x27;: &#x27;aa8854954491&#x27;, &#x27;lora:bubble_butt_v4-noob_vpred-LoRA&#x27;: &#x27;4561700f7afb&#x27;}</dd></div><div class="civitai-meta"><dt>Version</dt><dd>f1.1.5-v1.10.1RC-latest-909-gb203a4d5</dd></div><div class="civitai-meta"><dt>Clipskip</dt><dd>2</dd></div><div class="civitai-meta"><dt>Resources</dt><dd>[{&#x27;hash&#x27;: &#x27;aa8854954491&#x27;, &#x27;name&#x27;: &#x27;Saiyan_Armor_IL&#x27;, &#x27;type&#x27;: &#x27;lora&#x27;, &#x27;weight&#x27;: 1}, {&#x27;hash&#x27;: &#x27;4561700f7afb&#x27;, &#x27;name&#x27;: &#x27;bubble_butt_v4-noob_vpred-LoRA&#x27;, &#x27;type&#x27;: &#x27;lora&#x27;, &#x27;weight&#x27;: 0.8}, {&#x27;hash&#x27;: &#x27;60715d2c3722&#x27;, &#x27;name&#x27;: &#x27;Raichiyo_IL&#x27;, &#x27;type&#x27;: &#x27;lora&#x27;, &#x27;weight&#x27;: 0.8}, {&#x27;hash&#x27;: &#x27;178fc987b2&#x27;, &#x27;name&#x27;: &#x27;waiNSFWIllustrious_v90&#x27;, &#x27;type&#x27;: &#x27;model&#x27;}]</dd></div><div class="civitai-meta"><dt>Model hash</dt><dd>178fc987b2</dd></div><div class="civitai-meta"><dt>Hires steps</dt><dd>10</dd></div><div class="civitai-meta"><dt>Hires upscale</dt><dd>1.35</dd></div><div class="civitai-meta"><dt>Schedule type</dt><dd>Karras</dd></div><div class="civitai-meta"><dt>Hires upscaler</dt><dd>4x-UltraSharp</dd></div><div class="civitai-meta"><dt>Adetailer model</dt><dd>face_yolov8n.pt</dd></div><div class="civitai-meta"><dt>Hires cfg scale</dt><dd>5</dd></div><div class="civitai-meta"><dt>Adetailer version</dt><dd>24.11.1</dd></div><div class="civitai-meta"><dt>Denoising strength</dt><dd>0.4</dd></div><div class="civitai-meta"><dt>Adetailer mask blur</dt><dd>4</dd></div><div class="civitai-meta"><dt>Adetailer model 2nd</dt><dd>assdetailerseg2best.pt</dd></div><div class="civitai-meta"><dt>Adetailer confidence</dt><dd>0.3</dd></div><div class="civitai-meta"><dt>Adetailer dilate erode</dt><dd>4</dd></div><div class="civitai-meta"><dt>Adetailer inpaint width</dt><dd>1024</dd></div><div class="civitai-meta"><dt>Adetailer mask blur 2nd</dt><dd>4</dd></div><div class="civitai-meta"><dt>Adetailer confidence 2nd</dt><dd>0.3</dd></div><div class="civitai-meta"><dt>Adetailer inpaint height</dt><dd>1024</dd></div><div class="civitai-meta"><dt>Adetailer inpaint padding</dt><dd>32</dd></div><div class="civitai-meta"><dt>Adetailer dilate erode 2nd</dt><dd>4</dd></div><div class="civitai-meta"><dt>Adetailer inpaint width 2nd</dt><dd>1024</dd></div><div class="civitai-meta"><dt>Adetailer denoising strength</dt><dd>0.4</dd></div><div class="civitai-meta"><dt>Adetailer inpaint height 2nd</dt><dd>1024</dd></div><div class="civitai-meta"><dt>Adetailer inpaint only masked</dt><dd>True</dd></div><div class="civitai-meta"><dt>Adetailer inpaint padding 2nd</dt><dd>32</dd></div><div class="civitai-meta"><dt>Adetailer denoising strength 2nd</dt><dd>0.4</dd></div><div class="civitai-meta"><dt>Adetailer inpaint only masked 2nd</dt><dd>True</dd></div><div class="civitai-meta"><dt>Adetailer use inpaint width height</dt><dd>True</dd></div><div class="civitai-meta"><dt>Adetailer use inpaint width height 2nd</dt><dd>True</dd></div></div></div></div></dl></div></div>
+                    <div class="civnsfw model-block" style="display:flex;align-items:flex-start;">
+                    <div class="civitai-image-container">
+                    <input type="radio" name="zoomRadio" id="zoomRadio4" class="zoom-radio">
+                    <label for="zoomRadio4" class="zoom-img-container">
+                    <img data-sampleimg="true" src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/6dc7e8c5-5544-4aeb-9ced-0b2f39fc635b/original=true/52881291.jpeg">
+                        </label>
+                        <label for="resetZoom" class="zoom-overlay"></label>
+                            <div class="civitai_txt2img" style="margin-top:30px;margin-bottom:30px;">
+                            <label onclick='sendImgUrl("https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/6dc7e8c5-5544-4aeb-9ced-0b2f39fc635b/original=true/52881291.jpeg")' class="civitai-txt2img-btn" style="max-width:fit-content;cursor:pointer;">Send to txt2img</label>
+                            </div></div>
+                        <div style="margin:1em 0em 1em 1em;text-align:left;line-height:1.5em;" id="image_info"><dl style="gap:10px; display:grid;"><div class="civitai-meta-btn" onclick="metaToTxt2Img('Prompt', this)"><dt>Prompt</dt><dd>NM_Goblin_girl, 1girl, 1girl, solo, goblin, colored skin, green skin, yellow skin, pointy ears, long hair, lips,
+black leotard, clothing aside, pussy, from behind, ass, asteroid
+&lt;lora:NM_Goblin_girl_ill:1&gt;, masterpiece, best quality, newest, absurdres, highres</dd></div><div class="civitai-meta-btn" onclick="metaToTxt2Img('Negative prompt', this)"><dt>Negative prompt</dt><dd>sunglasses, glasses, worst quality,bad quality,bad hands,very displeasing,extra digit,fewer digits,jpeg artifacts,signature,username,reference,mutated,lineup,manga,comic,disembodied,futanari,yaoi,dickgirl,turnaround,2koma,4koma,monster,cropped,amputee,text,bad foreshortening,what,guro,logo,bad anatomy,bad perspective,bad proportions,artistic error,anatomical nonsense,amateur,out of frame,multiple views,weibo username,</dd></div><div class="civitai-meta-btn" onclick="metaToTxt2Img('Seed', this)"><dt>Seed</dt><dd>767739173</dd></div><div class="civitai-meta-btn" onclick="metaToTxt2Img('Size', this)"><dt>Size</dt><dd>832x1216</dd></div><div class="civitai-meta-btn" onclick="metaToTxt2Img('Model', this)"><dt>Model</dt><dd>cyberillustrious_v10</dd></div><div class="civitai-meta-btn" onclick="metaToTxt2Img('Sampler', this)"><dt>Sampler</dt><dd>DPM++ 2M</dd></div><div class="civitai-meta-btn" onclick="metaToTxt2Img('Steps', this)"><dt>Steps</dt><dd>28</dd></div><div class="civitai-meta-btn" onclick="metaToTxt2Img('CFG scale', this)"><dt>CFG scale</dt><dd>5</dd></div>
+                            <div class="tabs">
+                                <div class="tab">
+                                    <input type="checkbox" class="accordionCheckbox" id="chck4">
+                                    <label class="tab-label" for="chck4">More details...</label>
+                                    <div class="tab-content" style="gap:10px;display:grid;margin-left:1px;">
+                            <div class="civitai-meta"><dt>Vae</dt><dd>sdxl_vae.safetensors</dd></div><div class="civitai-meta"><dt>Hashes</dt><dd>{&#x27;vae&#x27;: &#x27;235745af8d&#x27;, &#x27;model&#x27;: &#x27;7a48fb8eae&#x27;, &#x27;lora:NM_Goblin_girl_ill&#x27;: &#x27;6ba5fd87b089&#x27;}</dd></div><div class="civitai-meta"><dt>Version</dt><dd>f1.1.5-v1.10.1RC-latest-909-gb203a4d5</dd></div><div class="civitai-meta"><dt>Clipskip</dt><dd>2</dd></div><div class="civitai-meta"><dt>Resources</dt><dd>[{&#x27;hash&#x27;: &#x27;6ba5fd87b089&#x27;, &#x27;name&#x27;: &#x27;NM_Goblin_girl_ill&#x27;, &#x27;type&#x27;: &#x27;lora&#x27;, &#x27;weight&#x27;: 1}, {&#x27;hash&#x27;: &#x27;7a48fb8eae&#x27;, &#x27;name&#x27;: &#x27;cyberillustrious_v10&#x27;, &#x27;type&#x27;: &#x27;model&#x27;}]</dd></div><div class="civitai-meta"><dt>Model hash</dt><dd>7a48fb8eae</dd></div><div class="civitai-meta"><dt>Hires steps</dt><dd>10</dd></div><div class="civitai-meta"><dt>Hires upscale</dt><dd>1.35</dd></div><div class="civitai-meta"><dt>Schedule type</dt><dd>Karras</dd></div><div class="civitai-meta"><dt>Hires upscaler</dt><dd>4x-UltraSharp</dd></div><div class="civitai-meta"><dt>Adetailer model</dt><dd>face_yolov8n.pt</dd></div><div class="civitai-meta"><dt>Hires cfg scale</dt><dd>5</dd></div><div class="civitai-meta"><dt>Adetailer version</dt><dd>24.11.1</dd></div><div class="civitai-meta"><dt>Denoising strength</dt><dd>0.4</dd></div><div class="civitai-meta"><dt>Adetailer mask blur</dt><dd>4</dd></div><div class="civitai-meta"><dt>Adetailer model 2nd</dt><dd>assdetailerseg2best.pt</dd></div><div class="civitai-meta"><dt>Adetailer confidence</dt><dd>0.3</dd></div><div class="civitai-meta"><dt>Adetailer dilate erode</dt><dd>4</dd></div><div class="civitai-meta"><dt>Adetailer inpaint width</dt><dd>1024</dd></div><div class="civitai-meta"><dt>Adetailer mask blur 2nd</dt><dd>4</dd></div><div class="civitai-meta"><dt>Adetailer confidence 2nd</dt><dd>0.3</dd></div><div class="civitai-meta"><dt>Adetailer inpaint height</dt><dd>1024</dd></div><div class="civitai-meta"><dt>Adetailer inpaint padding</dt><dd>32</dd></div><div class="civitai-meta"><dt>Adetailer dilate erode 2nd</dt><dd>4</dd></div><div class="civitai-meta"><dt>Adetailer inpaint width 2nd</dt><dd>1024</dd></div><div class="civitai-meta"><dt>Adetailer denoising strength</dt><dd>0.4</dd></div><div class="civitai-meta"><dt>Adetailer inpaint height 2nd</dt><dd>1024</dd></div><div class="civitai-meta"><dt>Adetailer inpaint only masked</dt><dd>True</dd></div><div class="civitai-meta"><dt>Adetailer inpaint padding 2nd</dt><dd>32</dd></div><div class="civitai-meta"><dt>Adetailer denoising strength 2nd</dt><dd>0.4</dd></div><div class="civitai-meta"><dt>Adetailer inpaint only masked 2nd</dt><dd>True</dd></div><div class="civitai-meta"><dt>Adetailer use inpaint width height</dt><dd>True</dd></div><div class="civitai-meta"><dt>Adetailer use inpaint width height 2nd</dt><dd>True</dd></div></div></div></div></dl></div></div>
+                    <div class="civnsfw model-block" style="display:flex;align-items:flex-start;">
+                    <div class="civitai-image-container">
+                    <input type="radio" name="zoomRadio" id="zoomRadio5" class="zoom-radio">
+                    <label for="zoomRadio5" class="zoom-img-container">
+                    <img data-sampleimg="true" src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/be25dea4-de78-4bec-abdc-7e9e0afd355e/original=true/52881300.jpeg">
+                        </label>
+                        <label for="resetZoom" class="zoom-overlay"></label>
+                            <div class="civitai_txt2img" style="margin-top:30px;margin-bottom:30px;">
+                            <label onclick='sendImgUrl("https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/be25dea4-de78-4bec-abdc-7e9e0afd355e/original=true/52881300.jpeg")' class="civitai-txt2img-btn" style="max-width:fit-content;cursor:pointer;">Send to txt2img</label>
+                            </div></div>
+                        <div style="margin:1em 0em 1em 1em;text-align:left;line-height:1.5em;" id="image_info"><dl style="gap:10px; display:grid;"><div class="civitai-meta-btn" onclick="metaToTxt2Img('Prompt', this)"><dt>Prompt</dt><dd>anime coloring, 1990s \(style\), kuramitsu_mihoshi, gxpoutfit, gxphat, 1girl, bubble butt, big ass, hyper butt, butt crack, female, long hair, pale skin, pale-skinned female, small breasts, solo, space,
+&lt;lora:bubble_butt_v4-noob_vpred-LoRA:1&gt; &lt;lora:MihoshiIllustV4:0.8&gt; masterpiece, best quality, newest, absurdres, highres, masterpiece, best quality, newest, absurdres, highres</dd></div><div class="civitai-meta-btn" onclick="metaToTxt2Img('Negative prompt', this)"><dt>Negative prompt</dt><dd>worst quality,bad quality,bad hands,very displeasing,extra digit,fewer digits,jpeg artifacts,signature,username,reference,mutated,lineup,manga,comic,disembodied,futanari,yaoi,dickgirl,turnaround,2koma,4koma,monster,cropped,amputee,text,bad foreshortening,what,guro,logo,bad anatomy,bad perspective,bad proportions,artistic error,anatomical nonsense,amateur,out of frame,multiple views,weibo username,</dd></div><div class="civitai-meta-btn" onclick="metaToTxt2Img('Seed', this)"><dt>Seed</dt><dd>767739173</dd></div><div class="civitai-meta-btn" onclick="metaToTxt2Img('Size', this)"><dt>Size</dt><dd>832x1216</dd></div><div class="civitai-meta-btn" onclick="metaToTxt2Img('Model', this)"><dt>Model</dt><dd>hassakuXLIllustrious_v10Style</dd></div><div class="civitai-meta-btn" onclick="metaToTxt2Img('Sampler', this)"><dt>Sampler</dt><dd>DPM++ 2M</dd></div><div class="civitai-meta-btn" onclick="metaToTxt2Img('Steps', this)"><dt>Steps</dt><dd>28</dd></div><div class="civitai-meta-btn" onclick="metaToTxt2Img('CFG scale', this)"><dt>CFG scale</dt><dd>5</dd></div>
+                            <div class="tabs">
+                                <div class="tab">
+                                    <input type="checkbox" class="accordionCheckbox" id="chck5">
+                                    <label class="tab-label" for="chck5">More details...</label>
+                                    <div class="tab-content" style="gap:10px;display:grid;margin-left:1px;">
+                            <div class="civitai-meta"><dt>Vae</dt><dd>sdxl_vae.safetensors</dd></div><div class="civitai-meta"><dt>Hashes</dt><dd>{&#x27;vae&#x27;: &#x27;235745af8d&#x27;, &#x27;model&#x27;: &#x27;e96ec818fa&#x27;, &#x27;lora:MihoshiIllustV4&#x27;: &#x27;aaac5dde009c&#x27;, &#x27;lora:bubble_butt_v4-noob_vpred-LoRA&#x27;: &#x27;4561700f7afb&#x27;}</dd></div><div class="civitai-meta"><dt>Version</dt><dd>f1.1.5-v1.10.1RC-latest-909-gb203a4d5</dd></div><div class="civitai-meta"><dt>Clipskip</dt><dd>2</dd></div><div class="civitai-meta"><dt>Resources</dt><dd>[{&#x27;hash&#x27;: &#x27;4561700f7afb&#x27;, &#x27;name&#x27;: &#x27;bubble_butt_v4-noob_vpred-LoRA&#x27;, &#x27;type&#x27;: &#x27;lora&#x27;, &#x27;weight&#x27;: 1}, {&#x27;hash&#x27;: &#x27;aaac5dde009c&#x27;, &#x27;name&#x27;: &#x27;MihoshiIllustV4&#x27;, &#x27;type&#x27;: &#x27;lora&#x27;, &#x27;weight&#x27;: 0.8}, {&#x27;hash&#x27;: &#x27;e96ec818fa&#x27;, &#x27;name&#x27;: &#x27;hassakuXLIllustrious_v10Style&#x27;, &#x27;type&#x27;: &#x27;model&#x27;}]</dd></div><div class="civitai-meta"><dt>Model hash</dt><dd>e96ec818fa</dd></div><div class="civitai-meta"><dt>Hires steps</dt><dd>10</dd></div><div class="civitai-meta"><dt>Hires upscale</dt><dd>1.35</dd></div><div class="civitai-meta"><dt>Schedule type</dt><dd>Karras</dd></div><div class="civitai-meta"><dt>Hires upscaler</dt><dd>4x-UltraSharp</dd></div><div class="civitai-meta"><dt>Adetailer model</dt><dd>face_yolov8n.pt</dd></div><div class="civitai-meta"><dt>Hires cfg scale</dt><dd>5</dd></div><div class="civitai-meta"><dt>Adetailer version</dt><dd>24.11.1</dd></div><div class="civitai-meta"><dt>Denoising strength</dt><dd>0.4</dd></div><div class="civitai-meta"><dt>Adetailer mask blur</dt><dd>4</dd></div><div class="civitai-meta"><dt>Adetailer model 2nd</dt><dd>assdetailerseg2best.pt</dd></div><div class="civitai-meta"><dt>Adetailer confidence</dt><dd>0.3</dd></div><div class="civitai-meta"><dt>Adetailer dilate erode</dt><dd>4</dd></div><div class="civitai-meta"><dt>Adetailer inpaint width</dt><dd>1024</dd></div><div class="civitai-meta"><dt>Adetailer mask blur 2nd</dt><dd>4</dd></div><div class="civitai-meta"><dt>Adetailer confidence 2nd</dt><dd>0.3</dd></div><div class="civitai-meta"><dt>Adetailer inpaint height</dt><dd>1024</dd></div><div class="civitai-meta"><dt>Adetailer inpaint padding</dt><dd>32</dd></div><div class="civitai-meta"><dt>Adetailer dilate erode 2nd</dt><dd>4</dd></div><div class="civitai-meta"><dt>Adetailer inpaint width 2nd</dt><dd>1024</dd></div><div class="civitai-meta"><dt>Adetailer denoising strength</dt><dd>0.4</dd></div><div class="civitai-meta"><dt>Adetailer inpaint height 2nd</dt><dd>1024</dd></div><div class="civitai-meta"><dt>Adetailer inpaint only masked</dt><dd>True</dd></div><div class="civitai-meta"><dt>Adetailer inpaint padding 2nd</dt><dd>32</dd></div><div class="civitai-meta"><dt>Adetailer denoising strength 2nd</dt><dd>0.4</dd></div><div class="civitai-meta"><dt>Adetailer inpaint only masked 2nd</dt><dd>True</dd></div><div class="civitai-meta"><dt>Adetailer use inpaint width height</dt><dd>True</dd></div><div class="civitai-meta"><dt>Adetailer use inpaint width height 2nd</dt><dd>True</dd></div></div></div></div></dl></div></div>
+                    <div class="civnsfw model-block" style="display:flex;align-items:flex-start;">
+                    <div class="civitai-image-container">
+                    <input type="radio" name="zoomRadio" id="zoomRadio6" class="zoom-radio">
+                    <label for="zoomRadio6" class="zoom-img-container">
+                    <img data-sampleimg="true" src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/5805343d-c21f-48d7-a9cb-bc1490df30d4/original=true/52881292.jpeg">
+                        </label>
+                        <label for="resetZoom" class="zoom-overlay"></label>
+                            <div class="civitai_txt2img" style="margin-top:30px;margin-bottom:30px;">
+                            <label onclick='sendImgUrl("https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/5805343d-c21f-48d7-a9cb-bc1490df30d4/original=true/52881292.jpeg")' class="civitai-txt2img-btn" style="max-width:fit-content;cursor:pointer;">Send to txt2img</label>
+                            </div></div>
+                        <div style="margin:1em 0em 1em 1em;text-align:left;line-height:1.5em;" id="image_info"><dl style="gap:10px; display:grid;"><div class="civitai-meta-btn" onclick="metaToTxt2Img('Prompt', this)"><dt>Prompt</dt><dd>low poly, 3d, an animated character,
+from behind, ass, looking back, looking at viewer, 1girl, gerudo, forehead jewel, chest jewel, red hair, dark skin, arabian clothes, pink gerudo outfit, midriff, makeup, eyeshadow, lipstick, navel, wrist guards, pointy ears, strip club, table, bar, chair, half-closed eyes, mouth veil, pelvic curtain, thong panties, dynamic pose &lt;lora:Ocarina_Low_Poly_Illustrious:1.2&gt;,
+masterpiece, best quality,, masterpiece, best quality, newest, absurdres, highres</dd></div><div class="civitai-meta-btn" onclick="metaToTxt2Img('Negative prompt', this)"><dt>Negative prompt</dt><dd>worst quality,bad quality,bad hands,very displeasing,extra digit,fewer digits,jpeg artifacts,signature,username,reference,mutated,lineup,manga,comic,disembodied,futanari,yaoi,dickgirl,turnaround,2koma,4koma,monster,cropped,amputee,text,bad foreshortening,what,guro,logo,bad anatomy,bad perspective,bad proportions,artistic error,anatomical nonsense,amateur,out of frame,multiple views,weibo username,</dd></div><div class="civitai-meta-btn" onclick="metaToTxt2Img('Seed', this)"><dt>Seed</dt><dd>4090040089</dd></div><div class="civitai-meta-btn" onclick="metaToTxt2Img('Size', this)"><dt>Size</dt><dd>832x1216</dd></div><div class="civitai-meta-btn" onclick="metaToTxt2Img('Model', this)"><dt>Model</dt><dd>illustriousXL_v01</dd></div><div class="civitai-meta-btn" onclick="metaToTxt2Img('Sampler', this)"><dt>Sampler</dt><dd>DPM++ 2M</dd></div><div class="civitai-meta-btn" onclick="metaToTxt2Img('Steps', this)"><dt>Steps</dt><dd>28</dd></div><div class="civitai-meta-btn" onclick="metaToTxt2Img('CFG scale', this)"><dt>CFG scale</dt><dd>5</dd></div>
+                            <div class="tabs">
+                                <div class="tab">
+                                    <input type="checkbox" class="accordionCheckbox" id="chck6">
+                                    <label class="tab-label" for="chck6">More details...</label>
+                                    <div class="tab-content" style="gap:10px;display:grid;margin-left:1px;">
+                            <div class="civitai-meta"><dt>Vae</dt><dd>sdxl_vae.safetensors</dd></div><div class="civitai-meta"><dt>Hashes</dt><dd>{&#x27;vae&#x27;: &#x27;235745af8d&#x27;, &#x27;model&#x27;: &#x27;3e15ba0038&#x27;, &#x27;lora:Ocarina_Low_Poly_Illustrious&#x27;: &#x27;7c8b34184824&#x27;}</dd></div><div class="civitai-meta"><dt>Version</dt><dd>f1.1.5-v1.10.1RC-latest-909-gb203a4d5</dd></div><div class="civitai-meta"><dt>Clipskip</dt><dd>2</dd></div><div class="civitai-meta"><dt>Resources</dt><dd>[{&#x27;hash&#x27;: &#x27;7c8b34184824&#x27;, &#x27;name&#x27;: &#x27;Ocarina_Low_Poly_Illustrious&#x27;, &#x27;type&#x27;: &#x27;lora&#x27;, &#x27;weight&#x27;: 1.2}, {&#x27;hash&#x27;: &#x27;3e15ba0038&#x27;, &#x27;name&#x27;: &#x27;illustriousXL_v01&#x27;, &#x27;type&#x27;: &#x27;model&#x27;}]</dd></div><div class="civitai-meta"><dt>Model hash</dt><dd>3e15ba0038</dd></div><div class="civitai-meta"><dt>Hires steps</dt><dd>10</dd></div><div class="civitai-meta"><dt>Hires upscale</dt><dd>1.35</dd></div><div class="civitai-meta"><dt>Schedule type</dt><dd>Karras</dd></div><div class="civitai-meta"><dt>Hires upscaler</dt><dd>Latent</dd></div><div class="civitai-meta"><dt>Adetailer model</dt><dd>face_yolov8n.pt</dd></div><div class="civitai-meta"><dt>Hires cfg scale</dt><dd>5</dd></div><div class="civitai-meta"><dt>Adetailer version</dt><dd>24.11.1</dd></div><div class="civitai-meta"><dt>Denoising strength</dt><dd>0.7</dd></div><div class="civitai-meta"><dt>Adetailer mask blur</dt><dd>4</dd></div><div class="civitai-meta"><dt>Adetailer model 2nd</dt><dd>assdetailerseg2best.pt</dd></div><div class="civitai-meta"><dt>Adetailer confidence</dt><dd>0.3</dd></div><div class="civitai-meta"><dt>Adetailer dilate erode</dt><dd>4</dd></div><div class="civitai-meta"><dt>Adetailer inpaint width</dt><dd>1024</dd></div><div class="civitai-meta"><dt>Adetailer mask blur 2nd</dt><dd>4</dd></div><div class="civitai-meta"><dt>Adetailer confidence 2nd</dt><dd>0.3</dd></div><div class="civitai-meta"><dt>Adetailer inpaint height</dt><dd>1024</dd></div><div class="civitai-meta"><dt>Adetailer inpaint padding</dt><dd>32</dd></div><div class="civitai-meta"><dt>Adetailer dilate erode 2nd</dt><dd>4</dd></div><div class="civitai-meta"><dt>Adetailer inpaint width 2nd</dt><dd>1024</dd></div><div class="civitai-meta"><dt>Adetailer denoising strength</dt><dd>0.4</dd></div><div class="civitai-meta"><dt>Adetailer inpaint height 2nd</dt><dd>1024</dd></div><div class="civitai-meta"><dt>Adetailer inpaint only masked</dt><dd>True</dd></div><div class="civitai-meta"><dt>Adetailer inpaint padding 2nd</dt><dd>32</dd></div><div class="civitai-meta"><dt>Adetailer denoising strength 2nd</dt><dd>0.4</dd></div><div class="civitai-meta"><dt>Adetailer inpaint only masked 2nd</dt><dd>True</dd></div><div class="civitai-meta"><dt>Adetailer use inpaint width height</dt><dd>True</dd></div><div class="civitai-meta"><dt>Adetailer use inpaint width height 2nd</dt><dd>True</dd></div></div></div></div></dl></div></div>
+                    <div class="civnsfw model-block" style="display:flex;align-items:flex-start;">
+                    <div class="civitai-image-container">
+                    <input type="radio" name="zoomRadio" id="zoomRadio7" class="zoom-radio">
+                    <label for="zoomRadio7" class="zoom-img-container">
+                    <img data-sampleimg="true" src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/6589b481-ca45-4d0d-b477-a20e3403714a/original=true/52881293.jpeg">
+                        </label>
+                        <label for="resetZoom" class="zoom-overlay"></label>
+                            <div class="civitai_txt2img" style="margin-top:30px;margin-bottom:30px;">
+                            <label onclick='sendImgUrl("https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/6589b481-ca45-4d0d-b477-a20e3403714a/original=true/52881293.jpeg")' class="civitai-txt2img-btn" style="max-width:fit-content;cursor:pointer;">Send to txt2img</label>
+                            </div></div>
+                        <div style="margin:1em 0em 1em 1em;text-align:left;line-height:1.5em;" id="image_info"><dl style="gap:10px; display:grid;"><div class="civitai-meta-btn" onclick="metaToTxt2Img('Prompt', this)"><dt>Prompt</dt><dd>from below, 1girl, open mouth, blush, orgasm, cowboy hat, midnight \(boku no hero academia\), eye mask, ass grab, from behind, standing, cowboy shot, huge ass, black bra, black studded belt, bare shoulders, missme jeans, fleur-de-lis, pussy, girl on top, reverse cowgirl position, penis, vaginal, looking back, barn, hay bale, clothed female nude male, fine fabric emphasis,
+&lt;lora:MissMe_IL:1&gt;,, masterpiece, best quality, newest, absurdres, highres</dd></div><div class="civitai-meta-btn" onclick="metaToTxt2Img('Negative prompt', this)"><dt>Negative prompt</dt><dd>worst quality,bad quality,bad hands,very displeasing,extra digit,fewer digits,jpeg artifacts,signature,username,reference,mutated,lineup,manga,comic,disembodied,futanari,yaoi,dickgirl,turnaround,2koma,4koma,monster,cropped,amputee,text,bad foreshortening,what,guro,logo,bad anatomy,bad perspective,bad proportions,artistic error,anatomical nonsense,amateur,out of frame,multiple views,weibo username,</dd></div><div class="civitai-meta-btn" onclick="metaToTxt2Img('Seed', this)"><dt>Seed</dt><dd>19520648</dd></div><div class="civitai-meta-btn" onclick="metaToTxt2Img('Size', this)"><dt>Size</dt><dd>832x1216</dd></div><div class="civitai-meta-btn" onclick="metaToTxt2Img('Model', this)"><dt>Model</dt><dd>realismIllustriousBy_v22BF16</dd></div><div class="civitai-meta-btn" onclick="metaToTxt2Img('Sampler', this)"><dt>Sampler</dt><dd>DPM++ 2M</dd></div><div class="civitai-meta-btn" onclick="metaToTxt2Img('Steps', this)"><dt>Steps</dt><dd>28</dd></div><div class="civitai-meta-btn" onclick="metaToTxt2Img('CFG scale', this)"><dt>CFG scale</dt><dd>5</dd></div>
+                            <div class="tabs">
+                                <div class="tab">
+                                    <input type="checkbox" class="accordionCheckbox" id="chck7">
+                                    <label class="tab-label" for="chck7">More details...</label>
+                                    <div class="tab-content" style="gap:10px;display:grid;margin-left:1px;">
+                            <div class="civitai-meta"><dt>Vae</dt><dd>sdxl_vae.safetensors</dd></div><div class="civitai-meta"><dt>Hashes</dt><dd>{&#x27;vae&#x27;: &#x27;235745af8d&#x27;, &#x27;model&#x27;: &#x27;8371d6e741&#x27;, &#x27;lora:MissMe_IL&#x27;: &#x27;c1e22067ca9d&#x27;}</dd></div><div class="civitai-meta"><dt>Version</dt><dd>f1.1.5-v1.10.1RC-latest-909-gb203a4d5</dd></div><div class="civitai-meta"><dt>Clipskip</dt><dd>2</dd></div><div class="civitai-meta"><dt>Resources</dt><dd>[{&#x27;hash&#x27;: &#x27;c1e22067ca9d&#x27;, &#x27;name&#x27;: &#x27;MissMe_IL&#x27;, &#x27;type&#x27;: &#x27;lora&#x27;, &#x27;weight&#x27;: 1}, {&#x27;hash&#x27;: &#x27;8371d6e741&#x27;, &#x27;name&#x27;: &#x27;realismIllustriousBy_v22BF16&#x27;, &#x27;type&#x27;: &#x27;model&#x27;}]</dd></div><div class="civitai-meta"><dt>Model hash</dt><dd>8371d6e741</dd></div><div class="civitai-meta"><dt>Hires steps</dt><dd>10</dd></div><div class="civitai-meta"><dt>Hires upscale</dt><dd>1.35</dd></div><div class="civitai-meta"><dt>Schedule type</dt><dd>Karras</dd></div><div class="civitai-meta"><dt>Hires upscaler</dt><dd>Latent</dd></div><div class="civitai-meta"><dt>Adetailer model</dt><dd>face_yolov8n.pt</dd></div><div class="civitai-meta"><dt>Hires cfg scale</dt><dd>5</dd></div><div class="civitai-meta"><dt>Adetailer version</dt><dd>24.11.1</dd></div><div class="civitai-meta"><dt>Denoising strength</dt><dd>0.7</dd></div><div class="civitai-meta"><dt>Adetailer mask blur</dt><dd>4</dd></div><div class="civitai-meta"><dt>Adetailer model 2nd</dt><dd>assdetailerseg2best.pt</dd></div><div class="civitai-meta"><dt>Adetailer confidence</dt><dd>0.3</dd></div><div class="civitai-meta"><dt>Adetailer dilate erode</dt><dd>4</dd></div><div class="civitai-meta"><dt>Adetailer inpaint width</dt><dd>1024</dd></div><div class="civitai-meta"><dt>Adetailer mask blur 2nd</dt><dd>4</dd></div><div class="civitai-meta"><dt>Adetailer confidence 2nd</dt><dd>0.3</dd></div><div class="civitai-meta"><dt>Adetailer inpaint height</dt><dd>1024</dd></div><div class="civitai-meta"><dt>Adetailer inpaint padding</dt><dd>32</dd></div><div class="civitai-meta"><dt>Adetailer dilate erode 2nd</dt><dd>4</dd></div><div class="civitai-meta"><dt>Adetailer inpaint width 2nd</dt><dd>1024</dd></div><div class="civitai-meta"><dt>Adetailer denoising strength</dt><dd>0.4</dd></div><div class="civitai-meta"><dt>Adetailer inpaint height 2nd</dt><dd>1024</dd></div><div class="civitai-meta"><dt>Adetailer inpaint only masked</dt><dd>True</dd></div><div class="civitai-meta"><dt>Adetailer inpaint padding 2nd</dt><dd>32</dd></div><div class="civitai-meta"><dt>Adetailer denoising strength 2nd</dt><dd>0.4</dd></div><div class="civitai-meta"><dt>Adetailer inpaint only masked 2nd</dt><dd>True</dd></div><div class="civitai-meta"><dt>Adetailer use inpaint width height</dt><dd>True</dd></div><div class="civitai-meta"><dt>Adetailer use inpaint width height 2nd</dt><dd>True</dd></div></div></div></div></dl></div></div>
+                    <div class="civnsfw model-block" style="display:flex;align-items:flex-start;">
+                    <div class="civitai-image-container">
+                    <input type="radio" name="zoomRadio" id="zoomRadio8" class="zoom-radio">
+                    <label for="zoomRadio8" class="zoom-img-container">
+                    <img data-sampleimg="true" src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/beea0e29-1656-4ac1-bb9d-232e41508134/original=true/52881284.jpeg">
+                        </label>
+                        <label for="resetZoom" class="zoom-overlay"></label>
+                            <div class="civitai_txt2img" style="margin-top:30px;margin-bottom:30px;">
+                            <label onclick='sendImgUrl("https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/beea0e29-1656-4ac1-bb9d-232e41508134/original=true/52881284.jpeg")' class="civitai-txt2img-btn" style="max-width:fit-content;cursor:pointer;">Send to txt2img</label>
+                            </div></div>
+                        <div style="margin:1em 0em 1em 1em;text-align:left;line-height:1.5em;" id="image_info"><dl style="gap:10px; display:grid;"><div class="civitai-meta-btn" onclick="metaToTxt2Img('Prompt', this)"><dt>Prompt</dt><dd>standing, blonde hair, looking back, ass focus, close up, black panties, in bed, high contrast, webcam, big butt, indoors, bedroom, film grain,</dd></div><div class="civitai-meta-btn" onclick="metaToTxt2Img('Negative prompt', this)"><dt>Negative prompt</dt><dd>worst quality,bad quality,bad hands,very displeasing,extra digit,fewer digits,jpeg artifacts,</dd></div><div class="civitai-meta-btn" onclick="metaToTxt2Img('Seed', this)"><dt>Seed</dt><dd>3588180871</dd></div><div class="civitai-meta-btn" onclick="metaToTxt2Img('Size', this)"><dt>Size</dt><dd>680x1024</dd></div><div class="civitai-meta-btn" onclick="metaToTxt2Img('Model', this)"><dt>Model</dt><dd>lustifySDXLNSFW_endgame</dd></div><div class="civitai-meta-btn" onclick="metaToTxt2Img('Sampler', this)"><dt>Sampler</dt><dd>DPM++ 3M SDE</dd></div><div class="civitai-meta-btn" onclick="metaToTxt2Img('Steps', this)"><dt>Steps</dt><dd>28</dd></div><div class="civitai-meta-btn" onclick="metaToTxt2Img('CFG scale', this)"><dt>CFG scale</dt><dd>3.5</dd></div>
+                            <div class="tabs">
+                                <div class="tab">
+                                    <input type="checkbox" class="accordionCheckbox" id="chck8">
+                                    <label class="tab-label" for="chck8">More details...</label>
+                                    <div class="tab-content" style="gap:10px;display:grid;margin-left:1px;">
+                            <div class="civitai-meta"><dt>Vae</dt><dd>sdxl_vae.safetensors</dd></div><div class="civitai-meta"><dt>Hashes</dt><dd>{&#x27;vae&#x27;: &#x27;235745af8d&#x27;, &#x27;model&#x27;: &#x27;8c7b3ca296&#x27;}</dd></div><div class="civitai-meta"><dt>Version</dt><dd>f1.1.5-v1.10.1RC-latest-909-gb203a4d5</dd></div><div class="civitai-meta"><dt>Resources</dt><dd>[{&#x27;hash&#x27;: &#x27;8c7b3ca296&#x27;, &#x27;name&#x27;: &#x27;lustifySDXLNSFW_endgame&#x27;, &#x27;type&#x27;: &#x27;model&#x27;}]</dd></div><div class="civitai-meta"><dt>Model hash</dt><dd>8c7b3ca296</dd></div><div class="civitai-meta"><dt>Hires steps</dt><dd>10</dd></div><div class="civitai-meta"><dt>Hires upscale</dt><dd>1.25</dd></div><div class="civitai-meta"><dt>Schedule type</dt><dd>Karras</dd></div><div class="civitai-meta"><dt>Hires upscaler</dt><dd>Latent</dd></div><div class="civitai-meta"><dt>Adetailer model</dt><dd>assdetailerseg2best.pt</dd></div><div class="civitai-meta"><dt>Hires cfg scale</dt><dd>3</dd></div><div class="civitai-meta"><dt>Adetailer version</dt><dd>24.11.1</dd></div><div class="civitai-meta"><dt>Denoising strength</dt><dd>0.67</dd></div><div class="civitai-meta"><dt>Adetailer mask blur</dt><dd>4</dd></div><div class="civitai-meta"><dt>Adetailer confidence</dt><dd>0.72</dd></div><div class="civitai-meta"><dt>Adetailer dilate erode</dt><dd>4</dd></div><div class="civitai-meta"><dt>Adetailer inpaint width</dt><dd>1024</dd></div><div class="civitai-meta"><dt>Adetailer inpaint height</dt><dd>800</dd></div><div class="civitai-meta"><dt>Adetailer inpaint padding</dt><dd>32</dd></div><div class="civitai-meta"><dt>Adetailer denoising strength</dt><dd>0.4</dd></div><div class="civitai-meta"><dt>Adetailer inpaint only masked</dt><dd>True</dd></div><div class="civitai-meta"><dt>Adetailer use inpaint width height</dt><dd>True</dd></div></div></div></div></dl></div></div>
+                    <div class="civnsfw model-block" style="display:flex;align-items:flex-start;">
+                    <div class="civitai-image-container">
+                    <input type="radio" name="zoomRadio" id="zoomRadio9" class="zoom-radio">
+                    <label for="zoomRadio9" class="zoom-img-container">
+                    <img data-sampleimg="true" src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/fd7f2423-97c5-435d-8781-fe9f3949767b/original=true/52881298.jpeg">
+                        </label>
+                        <label for="resetZoom" class="zoom-overlay"></label>
+                            <div class="civitai_txt2img" style="margin-top:30px;margin-bottom:30px;">
+                            <label onclick='sendImgUrl("https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/fd7f2423-97c5-435d-8781-fe9f3949767b/original=true/52881298.jpeg")' class="civitai-txt2img-btn" style="max-width:fit-content;cursor:pointer;">Send to txt2img</label>
+                            </div></div>
+                        <div style="margin:1em 0em 1em 1em;text-align:left;line-height:1.5em;" id="image_info"><dl style="gap:10px; display:grid;"><div class="civitai-meta-btn" onclick="metaToTxt2Img('Prompt', this)"><dt>Prompt</dt><dd>candid photo, amateur photo, film grain, flash photography, underexposed
+low quality, , a photo of multiple woman at a party showing off their panties, smiling, looking back at the camera, cleavage, masterpiece, best quality, newest, absurdres, highres</dd></div><div class="civitai-meta-btn" onclick="metaToTxt2Img('Negative prompt', this)"><dt>Negative prompt</dt><dd>simple background,, worst quality,bad quality,bad hands,very displeasing,extra digit,fewer digits,jpeg artifacts,signature,username,reference,mutated,lineup,manga,comic,disembodied,futanari,yaoi,dickgirl,turnaround,2koma,4koma,monster,cropped,amputee,text,bad foreshortening,what,guro,logo,bad anatomy,bad perspective,bad proportions,artistic error,anatomical nonsense,amateur,out of frame,multiple views,weibo username,</dd></div><div class="civitai-meta-btn" onclick="metaToTxt2Img('Seed', this)"><dt>Seed</dt><dd>1781543924</dd></div><div class="civitai-meta-btn" onclick="metaToTxt2Img('Size', this)"><dt>Size</dt><dd>680x1024</dd></div><div class="civitai-meta-btn" onclick="metaToTxt2Img('Model', this)"><dt>Model</dt><dd>lustifySDXLNSFW_endgame</dd></div><div class="civitai-meta-btn" onclick="metaToTxt2Img('Sampler', this)"><dt>Sampler</dt><dd>Euler</dd></div><div class="civitai-meta-btn" onclick="metaToTxt2Img('Steps', this)"><dt>Steps</dt><dd>28</dd></div><div class="civitai-meta-btn" onclick="metaToTxt2Img('CFG scale', this)"><dt>CFG scale</dt><dd>3</dd></div>
+                            <div class="tabs">
+                                <div class="tab">
+                                    <input type="checkbox" class="accordionCheckbox" id="chck9">
+                                    <label class="tab-label" for="chck9">More details...</label>
+                                    <div class="tab-content" style="gap:10px;display:grid;margin-left:1px;">
+                            <div class="civitai-meta"><dt>Vae</dt><dd>sdxl_vae.safetensors</dd></div><div class="civitai-meta"><dt>Hashes</dt><dd>{&#x27;vae&#x27;: &#x27;235745af8d&#x27;, &#x27;model&#x27;: &#x27;8c7b3ca296&#x27;}</dd></div><div class="civitai-meta"><dt>Version</dt><dd>f1.1.5-v1.10.1RC-latest-909-gb203a4d5</dd></div><div class="civitai-meta"><dt>Resources</dt><dd>[{&#x27;hash&#x27;: &#x27;8c7b3ca296&#x27;, &#x27;name&#x27;: &#x27;lustifySDXLNSFW_endgame&#x27;, &#x27;type&#x27;: &#x27;model&#x27;}]</dd></div><div class="civitai-meta"><dt>Model hash</dt><dd>8c7b3ca296</dd></div><div class="civitai-meta"><dt>Hires steps</dt><dd>10</dd></div><div class="civitai-meta"><dt>Hires upscale</dt><dd>1.25</dd></div><div class="civitai-meta"><dt>Schedule type</dt><dd>Automatic</dd></div><div class="civitai-meta"><dt>Hires upscaler</dt><dd>Latent</dd></div><div class="civitai-meta"><dt>Adetailer model</dt><dd>face_yolov8s.pt</dd></div><div class="civitai-meta"><dt>Hires cfg scale</dt><dd>7</dd></div><div class="civitai-meta"><dt>Adetailer version</dt><dd>24.11.1</dd></div><div class="civitai-meta"><dt>Denoising strength</dt><dd>0.7</dd></div><div class="civitai-meta"><dt>Adetailer mask blur</dt><dd>4</dd></div><div class="civitai-meta"><dt>Adetailer model 2nd</dt><dd>assdetailerseg2best.pt</dd></div><div class="civitai-meta"><dt>Adetailer confidence</dt><dd>0.72</dd></div><div class="civitai-meta"><dt>Adetailer dilate erode</dt><dd>4</dd></div><div class="civitai-meta"><dt>Adetailer inpaint width</dt><dd>1024</dd></div><div class="civitai-meta"><dt>Adetailer mask blur 2nd</dt><dd>4</dd></div><div class="civitai-meta"><dt>Adetailer confidence 2nd</dt><dd>0.3</dd></div><div class="civitai-meta"><dt>Adetailer inpaint height</dt><dd>800</dd></div><div class="civitai-meta"><dt>Adetailer inpaint padding</dt><dd>32</dd></div><div class="civitai-meta"><dt>Adetailer dilate erode 2nd</dt><dd>4</dd></div><div class="civitai-meta"><dt>Adetailer inpaint width 2nd</dt><dd>1024</dd></div><div class="civitai-meta"><dt>Adetailer denoising strength</dt><dd>0.4</dd></div><div class="civitai-meta"><dt>Adetailer inpaint height 2nd</dt><dd>1024</dd></div><div class="civitai-meta"><dt>Adetailer inpaint only masked</dt><dd>True</dd></div><div class="civitai-meta"><dt>Adetailer inpaint padding 2nd</dt><dd>32</dd></div><div class="civitai-meta"><dt>Adetailer denoising strength 2nd</dt><dd>0.4</dd></div><div class="civitai-meta"><dt>Adetailer inpaint only masked 2nd</dt><dd>True</dd></div><div class="civitai-meta"><dt>Adetailer use inpaint width height</dt><dd>True</dd></div><div class="civitai-meta"><dt>Adetailer use inpaint width height 2nd</dt><dd>True</dd></div></div></div></div></dl></div></div></div></div>

adetailer/assdetailerAdetailerModelFor_v2Segm_1213760.json ADDED Viewed

	@@ -0,0 +1,10 @@

+{
+    "activation text": "",
+    "description": "Put the .pt model file under models/adetailerv2-segmentation version:An aDetailer  https://github.com/Bing-su/adetailermodel that should work for realistic, semi realistic, anime, small butts, large butts, humongous butts, butts having intercourse, butts wearing pants, thongs, panties, etc.This version is trained on YOLOv8-seg - the instance segmentation model. Basically it is more specific to the part it is targeting instead of a bounding box, it is also trained on 10 additional images than v1 in hopes to help with wet/shiny butts from different angles.Trained on 310 images, 50 epochs. It will definitely give false positives and sometimes not detect one or two but overall pretty consistent - this is technically the 9th iteration.The example images are merely showcasing the ability to detect the ass, it is technically prior to the aDetailer being used on it. When using it on a tall image I suggest using a separate width/height to either be square or widerv1-bbox release notes:*thanks to anyone who participated in the early access*Put the .pt model file under models/adetailerAn aDetailer  https://github.com/Bing-su/adetailermodel that should work for realistic, semi realistic, anime, small butts, large butts, humongous butts, butts having intercourse, butts wearing pants, thongs, panties, etc.Trained on around 300 images, 50 epochs. It will definitely give false positives and sometimes not detect one or two but overall pretty consistent - this is technically the 7th iteration.The example images are merely showcasing the ability to detect the ass, it is technically prior to the aDetailer being used on it. When using it on a tall image I suggest using a separate width/height to either be square or wider",
+    "sd version": "Other",
+    "modelId": 1156687,
+    "sha256": "162960C0143F0321B5FC1794C72F7C8389C979E38F013B2FFDCD1B697C49250C",
+    "unpackList": [
+        "assdetailer-seg.pt"
+    ]
+}

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