CivArchive
    80s retro NSFW lora (PonyXL) - v1.0
    NSFW
    Preview 93135260
    Preview 93135262
    Preview 93135254
    Preview 93135246
    Preview 93135257
    Preview 93135247
    Preview 93135264
    Preview 93135297
    Preview 93135256
    Preview 93135253
    Preview 93135291
    Preview 93135298
    Preview 93135289
    Preview 93133809
    Preview 93135255
    Preview 93133874
    Preview 93135261
    Preview 93135240
    Preview 93135250

    Another attempt at a retro NSFW LoRa: this one focuses on a very specific style of high-quality erotic photography from the 80s (think bold color schemes, professional studio lighting, and fake kitschy interiors). I also tried to include things in the dataset that are difficult to achieve without a LoRa, namely various typical hairstyles (feathered bangs, mullets) and makeup from the 80s.

    It can make great SFW images but the dataset was NSFW. Adapt your prompt to avoid NSFW!

    WARNING: Avoid words like "teen" or "young" in your prompt. The lora sometimes generates people who look a bit younger than the dataset, if you include these tags.

    I recommend a strenght between 0.6 and 0.8. I prefer 0.7, but it depends on the checkpoint and the effect you want.

    It can generate both men and women. It was trained on the model Stallion Dreams with 50 solo images of solo women (25%) and solo men (25%), and 50 images of couples: male-female (25%) and all-male (25%). Results vary widely depending on the checkpoint.

    There seem to be few real, male-focused photos from the 1980s that fit this aesthetic, so this is a unique take for the men, I think.

    Description

    FAQ

    LORA
    Pony

    Details

    Downloads
    297
    Platform
    CivitAI
    Platform Status
    Available
    Created
    8/9/2025
    Updated
    5/13/2026
    Deleted
    -
    Trigger Words:
    b6ck_t0
    1980's

    Files

    80s_style-1.0_StalDreams-000006.safetensors

    Available On (1 platform)

    Same model published on other platforms. May have additional downloads or version variants.