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Civitai model catalog

Adult AI LoRAs with clear compatibility

LoRAs add a focused style, character, pose, motion, or visual concept to a compatible checkpoint. Choose one whose base model and generation mode match your checkpoint; each detail page shows its trigger words and supported workflows before you spend credits.

54 public models6 checkpoints48 LoRAs
lora

Instagramification

The Instagramification LoRA creates images of women resembling Instagram influencers. It enhances features like lips, skin tone, hair, and makeup, often adding large breasts, based on datasets from popular Instagram Baddies LoRAs and trained on Wan2.1-T2V-14B, working for both text-to-video (T2V) and image-to-video (I2V) applications.

baddieconceptcrazy
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lora

Wan NSFW Posing Nude

This model generates NSFW nude portraits of standing, posing figures, focusing on anatomical accuracy and physics in a photoshoot setting. It was trained on a dataset designed to minimize bias toward specific facial features or accessories, allowing users to control details via prompts. It works best with specific aspect ratios and benefits from the use of lightning LoRAs for efficient generation.

anatomyconceptnsfw
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lora

WAN DR34ML4Y - All-In-One NSFW

WAN DR34ML4Y is an all-in-one NSFW LoRA model designed to handle various specific concepts like double blowjobs, missionary position, reverse cowgirl, and doggy style. It accurately generates images based on specified keywords and positions. It is recommended to use both models to produce ideal outputs.

blowjobconceptdoggy
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lora

Wan 2.2 / 2.1 - Anal Reverse Cowgirl POV - t2v - i2v

Wan 2.2/2.1 is a text-to-video and image-to-video model trained on realistic videos. It generates high-quality animations, including depictions of sexual acts like anal sex, based on text prompts. Version 2.1 is compatible with both I2V and T2V models, trained using diffusion-pipe.

actionanalcowgirl
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lora

WAN DR34MJOB - Double/Single/Handy Blowjob

WAN DR34MJOB is a LoRA model designed to generate images of single and double blowjobs, including POV shots. It also produces images of handjobs. Using the specified triggers is necessary for desired outputs.

actionblowjobdouble blowjob
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lora

WAN 2.2 I2V - Combo Handjob Blowjob

This model generates images of a woman performing simultaneous hand and mouth stimulation. It works well at strength 1, supporting both POV and third-person perspectives, and is best suited for live-action images due to potential blurring on animated fingers. The model was trained to prioritize image quality over smaller file size.

actionblowjobhandjob
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lora

Wan POV Doggy Style (i2v)

This model is trained for image-to-video generation of doggy style scenes, specifically optimized for vertical videos and using the trigger word "POVdog." Version 1.1 provides consistent motion for the doggy style position, with emphasis on ass movement and bounce, although it may have image artifacts due to the low resolution source video data. The model reportedly works well in conjunction with aipinups69's Wan 2.1 LoRA at a strength of 0.5.

conceptdoggie stylepov
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lora

(wan 2.2 experimental) WAN General NSFW model

Explore available lora versions and generation modes.

conceptnsfwsex
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lora

Ahegao Face Wan (i2v)

This LoRA model generates ahegao faces, typically including drool and tongue protrusion. It was trained on a small dataset of videos and images and may sometimes produce sharp, vampire-like teeth. Users can try mitigating this by adding "sharp teeth" and "vampire teeth" to the negative prompt.

ahegaoahegao faceconcept
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Choose a compatible adult AI LoRA

Match the checkpoint family

Select a LoRA built for the checkpoint's base model. Cross-family combinations are blocked instead of being submitted as an unreliable job.

Use trigger words deliberately

Model detail pages list available trigger words. Add only the terms needed for the intended style, subject, pose, or motion.

Look for workflow support

Image and video LoRAs are not interchangeable. A version appears in the generator only after its exact workflow mapping is validated.

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