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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/2357375?modelVersionId=2691810](https://civitai.com/models/2357375?modelVersionId=2691810)
 
 
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- Mirror: [https://civarchive.com/models/2357375?modelVersionId=2691810](https://civarchive.com/models/2357375?modelVersionId=2691810)
 
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  license: other
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  tags:
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+ - concept
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+ - nsfw
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+ - pov
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  ---
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+
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+ # SoReal! - POV - ZiB_V3 - 2691810
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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**: concept, nsfw, pov
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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/0b538787-8fe2-4960-a014-1a21444ff36c/original=true/121178027.jpeg" width="200"></td>
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+ <td><img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/c89cd069-0c90-4aa9-a9ef-5f2c20b74ea5/original=true/121177996.jpeg" width="200"></td>
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+ <td><img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/fbc84350-0ae6-4327-b9de-ba18cd20af34/original=true/121178004.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/d9487bf2-31c5-408c-b451-5fc692a9228e/original=true/121179319.jpeg" width="200"></td>
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+ <td><img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/ccbc275a-f817-4cfd-9aef-031ecbc0bfa6/original=true/121178457.jpeg" width="200"></td>
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+ <td><img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/dad7b429-54e8-4cf3-9701-633a94087b0a/original=true/121178031.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/83d62144-e1e0-4a8a-96de-5ef868326ffa/original=true/121179058.jpeg" width="200"></td>
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+ <td><img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/a9a9208f-5759-4a96-b294-90bdbe243749/original=true/121178357.jpeg" width="200"></td>
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+ <td><img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/0569bbf6-fcf5-4318-9f4b-183ef1684c90/original=true/121178005.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/3d761615-4794-4606-9070-28ddaf64d28e/original=true/121179567.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! - POV
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+ =============
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+
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+ [[SoReal! Portraits]](https://civitai.com/models/2360068)
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+
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+ Overview
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+ --------
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+
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+ Reach your hands out for the stars! This model is the first of a series in Z-Image LORAs - aimed to bring diversity in both concepts and humanity itself to Z-Image.
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+ Compatibility & Usage
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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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+ 'Trigger words' aren't real - don't ask for one, just prompt normally. If you want a hand (literally), use 'a man's hand' or 'a woman's hand', which should normally get you what you want.
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+ I'll upload a full concept list soon to show the range of concepts the model has been trained on - not confirming that the model is able to reproduce them, though.
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+ When using Z-Image Turbo, strengths between 0.95 and 1.5 work best in my experience for V1, and 0.9 - 1.2 for V2.
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+ Limitations
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+ -----------
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+
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+ Anatomy is still rough - planning one further additional training run to try and address this for NSFW concepts but may mean a split between generalisation model (v2) and a NSFW-special model (V2-NSFW).
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+ Future
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+ ------
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+ Future iterations of this model will see stronger prompt adherence, anatomy adherence and general composition and quality through +/- reinforcement learning.
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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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+ * 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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+ Dataset of 2500 sourced from a variety of sources. Deduplication and Quality Scoring (through MANIQA) lowered the dataset to around 1400. This model was trained on a dataset of 1500 images at a batch size minimum of 10. This means
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+ This model was trained on a dataset of 1500 images at a batch size minimum of 10. Masked loss was implemented after roughly 40,000 samples (not steps) to improve anatomy & concept adherence.
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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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+ 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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  Author: [BitcrushedHeart](https://civitai.com/user/BitcrushedHeart)
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+ Model: [CivitAI Model Page](https://civitai.com/models/2357375?modelVersionId=2691810)
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+ Archive: [CivArchive Page](https://civarchive.com/models/2357375?modelVersionId=2691810)
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+ <!-- Version: 20260422_v4_update -->