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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: [pikenrover](https://civitai.com/user/pikenrover)
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- Model: [https://civitai.com/models/1518243?modelVersionId=2591003](https://civitai.com/models/1518243?modelVersionId=2591003)
 
 
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- Mirror: [https://civarchive.com/models/1518243?modelVersionId=2591003](https://civarchive.com/models/1518243?modelVersionId=2591003)
 
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  license: other
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  tags:
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  - civitai
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+ - futanari
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+ - taker pov
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+ - blowjob
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+ - fellatio
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+ - action
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  ---
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+ # Wan 2.2 / Wan 2.1 - Taker POV Fellatio - I2V - 2591003
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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**: taker POV fellatio
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+ **Tags**: futanari, taker pov, blowjob, fellatio, action
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+ ## Description
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+ **Wan 2.2:**
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+ This was trained using ai-toolkit on Wan 2.2 I2V 14B using 20 81-frame 16-fps videos.
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+ **Wan 2.1:**
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+ This model was trained using diffusion-pipe on the Wan I2V 14B 720P checkpoint using ~30 2-second videos from various anal sex positions at 24fps. I used an Nvidia A6000.
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+ I'm aware that it's the general convention to train on the T2V Wan checkpoint, but I get horrendous results (with both T2V and I2V) when I do so with this dataset. My theory is Wan isn't as aware of this type of action as other ones, but I'm not really sure. I just know that I've tried a bunch of times to train this model in T2V to no avail while I've had success training on T2V with other datasets.
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+ ---
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  Author: [pikenrover](https://civitai.com/user/pikenrover)
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+ Model: [CivitAI Model Page](https://civitai.com/models/1518243?modelVersionId=2591003)
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+ Archive: [CivArchive Page](https://civarchive.com/models/1518243?modelVersionId=2591003)
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+ <!-- Version: 20260422_v4_update -->