AI porn models for adult image and video generation
Browse the building blocks behind the factory. Filter checkpoints and LoRAs by image or video support, base model, and tags, then open any version directly in the unified generator.
F4C3SPL4SH Cumshot - I2V Wan 2.2 Video LoRa - K3NK
This LoRa model is trained on a dataset of 391 clips to generate cumshot scenes for use with the Wan2.2 video model. It aims to create realistic and detailed adult content featuring male ejaculation onto a woman's face and chest. Specific lighting and secondary LoRAs are recommended for optimal results.
Sex Smash Cut [WAN 2.2]
Sex Smash Cut [WAN 2.2] is a pair of LoRAs trained on WAN 2.2 I2V 14B models to generate images of a man thrusting into a woman's vagina. They work best on wider aspect ratios and may occasionally produce body horror.
Doggy Style Sex - Official Wan 2.2 Release!
Wan2.2 T2V v4 is a model focused on generating images and videos of a man and woman in the doggy style sexual position, now with POV support. It uses specific triggers and prompts to generate these images/videos, including options for front and side views. The model requires both high and low components to function correctly.
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.
Wan POV Blowjob
The Wan POV Blowjob model generates images and videos of oral sex from a first-person perspective. It is capable of depicting cumshots and can handle images where the penis is not initially present. The model supports multiple angles and requires specific prompts to trigger certain actions, like the appearance of cum.
Wan 2.2/2.1 POV Missionary
Wan 2.2/2.1 is a model designed for generating images and videos of missionary-position sexual activity. The model comes in T2V (text-to-video) and I2V (image-to-video) versions, with improvements in handling different resolutions and incorporating more realistic movements. Prompting tips are provided to control elements like movement speed and breast size.
WAN 2.2 Anime Cumshot Aesthetics – Precision Load I2V (Beta version)
WAN 2.2 Anime Cumshot Aesthetics – Precision Load is a LoRA designed to enhance the density, precision, impact, and aesthetic realism of cumshots in anime-style scenes. It focuses on thickness, directional accuracy, and artistic expression, delivering impactful visuals and can pair with live-action content. This beta version features improved motion and detail through high and low noise models, but may still produce some unnatural results.
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.
POV Insertion [WAN 2.X]
This LoRA is specifically trained to capture the moment of insertion when the penis is not initially in frame and can handle both missionary and doggystyle positions. Trigger Phrase: A man appears and inserts his penis into her pussyIf you like this model and want to support the creation of future models, please support my work by leaving positive reviews, or posting your generations to the model page.
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.
Ultimate DeepThroat I2V Wan2.2 Video LoRa - K3NK
This LoRA model is designed for generating deepthroat blowjob scenes using Wan2.2 I2V. It was trained on a dataset of short clips and can handle various points of view in these scenes, though some positions may require specific prompting to avoid artifacts. The model aims to create realistic depictions of this act through text-to-video or image-to-video generation.
Wan Cumshot (2.2 / 2.1)
Wan 2.2 uses highnoise and lownoise LoRAs, while Wan 2.1 is tailored for Image-to-Video (I2V) and Text-to-Video (T2V) applications. Wan 2.1 (I2V) allows for origin points outside the frame, while T2V allows for the generation of specific scenarios and actions, including the generation of intimate acts.
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.
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.
WAN2.1 Facefuck
WAN2.1 Facefuck is a LORA model focused on generating images of a specific sexual act. It was trained on low-resolution videos to exaggerate movement and allows control over insertion speed and depth. The model aims for further refinement in future versions to improve realism and add scene variations.
Side lying Sex - Wan I2V 14B
This LoRA model generates images and videos of side-lying sexual intercourse. It has two versions, one for text-to-video (t2v) and one for image-to-video (i2v), with the i2v version recommended for better performance. The i2v version can be triggered using "They are having side sex."
M4CROM4STI4 - Huge Natural Breasts Physics - Wan2.2 Video LoRa - K3NK
This LoRA model, M4CROM4STI4, generates images and videos featuring very large, natural-looking breasts. It was trained using a dataset of video clips and may occasionally produce unwanted artifacts like strange pubic hair. The model is designed for use with the WAN 2.2 workflow.
Slop Twerk WAN 2.2 I2V
Slop Twerk WAN 2.2 I2V is a LoRA trained on AI-generated videos of characters twerking, focusing on generating ass shaking and jiggling effects. It was trained using a modified Musubi Tuner GUI and the dataset includes manually tagged videos with descriptions of twerking actions. The LoRA is designed to be used with prompts related to twerking and ass shaking, with some breast jiggle also present.
NSFW/Female Genitals helper for Wan T2V/I2V
This Lora model enhances female genital generation, specifically addressing Wan's undertrained areas. It was trained on a dataset of images and videos to improve detail and motion, and the trigger words are "Innie vagina" or "Outie vagina." It's designed for nude poses in standing, sitting/lying, and bending positions.
creampie (nakadashi/cum inside) concept WAN2.1 I2V
This model, a creampie concept WAN2.1 I2V, generates images involving vaginal penetration. It focuses on accurately depicting scenes of cum dripping from a vagina, although penis depiction may require prompt adjustments. It aims to improve text-to-video generation by understanding female anatomy better.
(wan 2.2 experimental) WAN General NSFW model
Explore available lora versions and generation modes.
FLUX_NSFW_Blowjob_FUCK_rimjob_Sevenof9
FLUX_NSFW_Blowjob_FUCK_rimjob_Sevenof9 is a model trained on handpicked, watermark-free images focused on specific adult themes. Optimal results are achieved around 25 steps using EULER with DDIM or SGM Uniform/Beta samplers, and it's suggested to increase resolution for noise reduction. The model provides various adult orientated poses, it's recommended users experiment with prompts and CFG values for ideal results.
Wan Front View Doggy Style (i2v)
This model generates image-to-video content depicting doggy style scenes with the woman facing the camera. It focuses on realistic faces and intense action, using the trigger word "Pl0wView" for prompt generation. The model was trained using diffusion-pipe on a 480p i2v 14B model.
Masturbation Cumshot for Wan I2V 14B
This LoRA model is designed for the Wan 14B I2V model to generate realistic cumshot scenes. It allows some control over where the cum lands using specific prompts and produces more realistic results on bodies and objects. The model was trained with improved datasets and captions at a higher resolution.
How checkpoints and LoRAs fit together
Start with a checkpoint
A checkpoint controls the base rendering system. Its supported modes determine whether it can create images, edit an input, or produce video.
Match the base model
A LoRA must target the same base-model family as the checkpoint. Similar names do not guarantee compatible weights.
Check the validated workflows
A catalog version can be documented before it is generator-ready. Only versions with validated broker and artifact mappings can spend credits.