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---
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license: other
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tags:
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---
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Author: [hpeter0004959](https://civitai.red/user/hpeter0004959)
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---
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license: other
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tags:
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- concept
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- cumshot
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- facial
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- hair
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---
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# Facial Cumshot into Hair - v0.3 I2V HIGH - 2863952
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**Model Type**: LORA
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**Base Model**: Wan Video 2.2 I2V-A14B
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**Trigger Words**: None
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**Tags**: concept, cumshot, facial, hair
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## Gallery
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<table>
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<tr>
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<td><video src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/cbc9919e-e3aa-460b-931c-01eb7b30c966/original=true/127724680.mp4" width="200" controls muted autoplay loop></video></td>
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<td><video src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/6da82a1b-eceb-48c2-b3e3-5675f7f81934/original=true/127724838.mp4" width="200" controls muted autoplay loop></video></td>
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</tr>
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</table>
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## Description
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For I2V probably 0.3 is best.
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for T2V/else I think I still mostly like v0.1 over 0.2, both probably have their own things they do best.
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**v0.3 (I2V):**
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Slightly reduced dataset ("spray" not contained anymore wont work!),
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Lower rank, higher resolution, different training.
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I2V only. high/low roughly 1.0-1.5/0.3-1,
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good start likely is 1.3/0.7 , 1.35/0.72 , 1.4/0.75 / 1.5/0.6 etc.
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**v0.2:**
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Slightly optimized dataset, rank 32 (lower filesize).
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Stock Wan2.2 T2V strength 1/1 or 1.5-2/0.4-0.9 (e.g 1.6/0.42) as a starting point. Works for I2V. Try out.
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**v0.1:**
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Stock Wan2.2 T2V LoRA strength roughly for high/low 1.2/0.55 as a start point.
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Works for I2V at maybe more like 1.4/0.6
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(for quick test used samplers 0 to 4 and 4 to 20 steps wise).
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Let me know if you find better settings...
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Recommending more or equal to 8 steps, e.g. steps=20.
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For more prompts select the low version and download the training data/images, which contains a text file with all prompts used for the dataset.
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**Example prompt:**
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cuminhair An erect penis gives her a cumshot and shoots cum into her hair.
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cuminhair An erect penis gives her a cumshot and sprays cum into her hair.
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---
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Author: [hpeter0004959](https://civitai.com/user/hpeter0004959)
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Model: [CivitAI Model Page](https://civitai.com/models/2383301?modelVersionId=2863952)
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Archive: [CivArchive Page](https://civarchive.com/models/2383301?modelVersionId=2863952)
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