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.
Pov Blowjob + Titjob + Handjob [updated]
This LoRA model generates images with customizable combinations of fellatio, handjob, and paizuri. It is designed to be flexible, using prompts like 'pov, 1girl, 1boy' as a base and offering additional prompts for further customization and control. Users can adjust prompt strengths to achieve desired results for specific actions and perspectives.
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.
Ultimate Deepthroat - Wan2.1 Video LoRa
This LoRA model, "Ultimate Deepthroat - Wan2.1 Video LoRa," is trained to generate videos of deepthroat scenes using a 480p i2v model. It utilizes a dataset created from Hun deepthroat LoRAs and is intended for use with specific WAN2.1 workflows. The model is shared without warranties and users are responsible for its lawful and responsible use.
Wan 2.1 Deepthroat / Facefuck Entry - Blowjob, Fellatio, Oral, Lora, T2V 14B
This Lora generates videos of blowjobs, often starting with the penis outside the mouth and leaning towards facefucking. Video quality can be inconsistent but improves when used with other Loras at lower strengths, requiring multiple generations for optimal results. The action and details are generally good.
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.