The I.N.S.E.R.T. Kit- Internal Fingering, Self-Stuffing, Riding Things

Details

Model description

The I.N.S.E.R.T. Kit is specialized LoRA trained to generate explicit and detailed images of female masturbation, with a primary focus on the act of insertion.

This LoRA excels at images of both digital (fingers) and object-based insertion. It's designed to handle a wide range of insertables, from simple phallic shapes to more complex toys, rendering them with realistic interaction and anatomy.

Objects included in the training:

  • Cucumbers

  • Bananas

  • Panties

  • Fingers

  • Glass cylinder objects

  • Hair brush

  • Garden Hose

  • Watering Can

  • Shoes

  • and of course, Dildos

Key Features:

  • Dual Focus: Trained on both finger insertion and the use of various objects.

  • Realistic Interaction: Generates believable contact, stretching, and anatomical responses.

  • Pose Versatility: Works well with a variety of poses, including close-ups, full-body shots, and different angles.

Known Limitations:

  • Multiple Objects: The LoRA may struggle or produce confusing results if prompted to insert more than one object simultaneously. It is optimized for a single point of insertion.

  • Fisting: The LoRA is not trained for fisting. It will not be able to accurately render the insertion of a full hand or fist.

  • Complex Poses: It can have difficulty with more challenging poses. This includes:

    • Legs-Up Poses: Poses where the subject's legs are raised high in the air (e.g., legs-over-head).

    • Side-Lying Poses: Poses where the woman is laying on her side.

  • Clothing Interaction: The LoRA is not trained for complex clothing manipulation. It struggles with:

    • Underwear Pulled Aside: It may fail to realistically render underwear or fabric being pulled to the side for access.

    • Shirts Pulled Up: It can have difficulty accurately depicting a shirt being lifted up to reveal the breasts.

  • For best results, use poses where the woman is fully nude or wearing minimal clothing that doesn't obstruct the primary action.

Images made by this model