CivArchive
    Double Penetration from behind [ZIT] - v1
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    Experimental

    Dataset: 112 images, captioned with Qwen3-VL-8B-Instruct-abliterated+Trigger Word "double penetration"

    Training Tool: Ostris AI-Toolkit

    Training Model: Tongyi-MAI/Z-Image-Turbo

    Settings:

    • Quantization: None

    • Data Type: BF16

    • Batch Size: 1

    • Gradient Accumulation: 1

    • Steps: 24000

    • Optimizer: AdamW8Bit

    • Timestep Type: Weighted

    • Timestep Bias: Balanced

    • Loss Type: Mean Squared Error

    • Linear Rank: 32

    • Learning Rate: 0.0001

    • Weight Decay: 0.0001

    • Resolution: 512

    Description

    FAQ

    LORA
    ZImageTurbo

    Details

    Downloads
    1,614
    Platform
    CivitAI
    Platform Status
    Available
    Created
    12/23/2025
    Updated
    4/26/2026
    Deleted
    -
    Trigger Words:
    double penetration

    Files

    Double_P_ZIT_512_r32_AdamW8Bit_Weighted_BF16_Qwen3_Captioned_000024000.safetensors