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  ---
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  license: other
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  tags:
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- - civitai
 
 
 
 
 
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  Author: [BitcrushedHeart](https://civitai.com/user/BitcrushedHeart)
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- Model: [https://civitai.com/models/2368299?modelVersionId=2663428](https://civitai.com/models/2368299?modelVersionId=2663428)
 
 
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- Mirror: [https://civarchive.com/models/2368299?modelVersionId=2663428](https://civarchive.com/models/2368299?modelVersionId=2663428)
 
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  ---
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  license: other
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  tags:
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+ - amateur
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+ - candid
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+ - concept
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+ - natural body
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+ - nsfw
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+ - nudity
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  ---
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+
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+ # SoReal! Natural Bodies - v1.0 - 2663428
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+
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+ **Model Type**: LORA
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+
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+ **Base Model**: ZImageBase
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+
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+ **Trigger Words**: None
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+
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+ **Tags**: amateur, candid, concept, natural body, nsfw, nudity
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+
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+ ## Gallery
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+
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+ <table>
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+ <tr>
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+ <td><img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/4099fa69-5df2-4b3e-9da4-3fd55560cc30/original=true/120065743.jpeg" width="200"></td>
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+ <td><img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/a9b20d95-d4c1-4f00-ad39-f3b4f11c40ce/original=true/120065787.jpeg" width="200"></td>
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+ <td><img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/7712b15a-dcac-4bfd-a3b6-53fbb592323f/original=true/120065803.jpeg" width="200"></td>
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+ </tr>
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+ <tr>
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+ <td><img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/b113b8d3-0b5d-47e0-8d8d-3dff61f0fb6a/original=true/120065818.jpeg" width="200"></td>
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+ <td><img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/43688524-ab40-45df-ae25-79a3572d75da/original=true/120065844.jpeg" width="200"></td>
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+ <td><img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/2f878835-ad96-489b-af8d-759d74f1b86c/original=true/120065890.jpeg" width="200"></td>
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+ </tr>
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+ <tr>
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+ <td><img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/d09c14dd-0d0c-4bb3-b308-64f4b4fa683d/original=true/120065920.jpeg" width="200"></td>
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+ <td><img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/d7415523-3cb4-40f4-84b5-709c2ef45654/original=true/120065964.jpeg" width="200"></td>
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+ <td><img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/f0e12399-f6e4-48b9-9cce-20020c409e8c/original=true/120066032.jpeg" width="200"></td>
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+ </tr>
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+ <tr>
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+ <td><img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/58d7eee3-aab5-4e43-b209-0871466cd342/original=true/120066065.jpeg" width="200"></td>
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+ </tr>
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+ </table>
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+
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+ ## Description
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+
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+ [**Follow me on Patreon!**](https://www.patreon.com/Bitcrushed_Heart)
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+ ---------------------------------------------------------------------
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+
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+ **SoReal! - Natural Bodies**
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+ ============================
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+
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+ [[SoReal! Portraits]](https://civitai.com/models/2360068) [[SoReal POV]](https://civitai.com/models/2357375?modelVersionId=2657257)
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+
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+ **Overview**
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+ ------------
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+
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+ Stand aside, supermodels! This model is the next iteration of my Z-Image LORAs - aimed to bring diversity in both concepts and humanity itself to Z-Image.
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+
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+ **Compatibility & Usage**
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+ -------------------------
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+
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+ Due to it's small size and rank, the model should have a minimal influence on the base model, further improving compatibility with other LORAs across Base/Turbo and indeed other checkpoints.
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+
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+ 'Trigger words' aren't real - don't ask for one, just prompt normally! Ages (xx-year-old format), weight classifications (underweight, natural weight, average weight, obese, etc), ethnicity and skin tones were used in captioning based on real data (rather than estimations).
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+
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+ When using Z-Image Turbo, strengths between 0.90 and 1.2 seem to have good results.
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+
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+ **Limitations**
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+ ---------------
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+
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+ TBC
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+
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+ **Future**
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+ ----------
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+
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+ **I am planning on finetuning Z-Image considerably with a model called 'SoReal!' (Or, alternatively, ZoReal!). However, I want it to be the best possible amateur finetune possible, to achieve this, I have:**
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+
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+ * 1. Trained a custom quality model.
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+ * 2. Trained a custom one-shot demographic model (height, weight, skin tone, ethnicity, age in years, body shape) with an average accuracy of 89% for top-confidence prediction using ConvNext-XL.
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+ * 3. Finetuned wd-tagger-large-v3 on a large sample dataset of 50k hand-tagged images with human-assisted active learning.
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+ * 4. Fed those tagged images (with quality, demographics and general labels) with the image metadata (incl. EXIF & Camera Metadata) to Gemini 3 Flash for generating captions.
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+ * No over-trained LORAs baked in, no dramatic loss of generalisation, just a good, all-round, NSFW-ready, finetuned model.
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+ **I am now severely limited, however, by my compute and financial situation, so if you'd like to help make SoReal!, well, so real,** [**then you can follow me on Patreon!**](https://www.patreon.com/Bitcrushed_Heart)
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+ **Dataset & Training**
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+ ----------------------
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+
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+ Dataset of 1000 sourced from a variety of sources. Deduplication and Quality Scoring (through MANIQA) batch size 16.
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+ Validation loss was used with 10% of the dataset size to prevent overfitting while still maintaining strong concept adherence and generalisation.
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+ Model was trained with AdamW through the Python adv-optm package.
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+ **Licensing**
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+ -------------
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+
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+ If you'd like to release a merge of this model, please contact me.
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+ Made with <3 By BitcrushedHeart
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+
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+ ---
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+
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  Author: [BitcrushedHeart](https://civitai.com/user/BitcrushedHeart)
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+ Model: [CivitAI Model Page](https://civitai.com/models/2368299?modelVersionId=2663428)
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+
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+ Archive: [CivArchive Page](https://civarchive.com/models/2368299?modelVersionId=2663428)
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+ <!-- Version: 20260422_v4_update -->