Wand Vibrators - ZIT
Details
Download Files
Model description
Trigger Word None required (optional: "white wand vibrator" for stronger emphasis β it responds very well and allows easy color changes like "pink wand vibrator", "purple wand vibrator", etc.).
What This LoRA Does This LoRA specializes in photorealistic scenes featuring women using a white wand vibrator (classic Hitachi-style magic wand). It excels at generating highly detailed, natural-looking solo masturbation images with accurate anatomy, skin texture, and toy interaction.
Key strengths:
Convincing placement and pressure of the wand head against the vulva or clitoris (pressed firmly, lightly resting, partially inserted, etc.)
Realistic hand positioning and grip on the wand handle
Natural body poses with legs spread or raised (lying on bed/couch/chair/outdoors, sitting, reclining, bent over)
Detailed genital close-ups and full-body shots with proper depth of field
Varied expressions of pleasure (eyes closed, mouth open, smiling, neutral)
Accurate fabric textures when combined with clothing (lace lingerie, pantyhose, pulled-up skirts, schoolgirl uniforms, fishnets, etc.)
Diverse settings (bedrooms, living rooms, closets, gardens/patios, outdoor loungers)
Soft to bright natural lighting with realistic skin highlights and subtle wetness
Excellent compatibility with character LoRAs β maintains face consistency even at higher LoRA weights
The model handles color variations of the wand effortlessly in prompts without breaking the shape.
Model Z-Image Turbo All sample images were generated on the standard bf16 model using only this LoRA β no other LoRAs were used in the samples. Works exceptionally well with character LoRAs at typical weights.
Recommended Settings
Base Model: Z-Image Turbo
Sampler: er_sde sgm uniform
Steps: 10-15
CFG: 1.0-1.2
LoRA Strength:
- Best i have found is around 0.7
Enjoy the vibes! π
β Support
If youβre enjoying my LoRAs or want to request custom transformation concepts, consider supporting my work: β [Buy Me a Coffee]
Every donation helps fund new datasets, experiments, and model releases.
You can also help support future training runs through my RunPod referral link
we both receive credits toward GPU time β [RunPod]
Thank you for your support β€οΈ
More models and and updates are on the way!




















