CivArchive
    Tiny bunny / Saikono / Style / Art - v2.0
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    Updated version of Tiny bunny / Saikono / Style / Art

    Optimal settings and models to use it on:

    Deliberate: https://civarchive.com/models/4823?modelVersionId=15236

    2 version is trained on images with resolutions from 512 to 1024 and produces quite good results.

    This version is great for experimentation and has quite a lot of potential.

    You can play with weights from (TinyBunnyStyle:0.2) to (TinyBunnyStyle:1.6) and get very interesting results.

    • Use activation word:

      1. TinyBunnyStyle

      2. MONOCHROME

    • Recommended enlargement for generation:

      1. 512x768

      2. 600x800

    • Settings:

      1. Steps: 25 - 28;

      2. Sampler: DPM++ 2M Karras, DPM++ SDE, Euler a;

      3. CFG scale: 5 - 7;

      4. Clip skip: 1.

    • The model includes horror elements as well.

    Add a review if you like it!

    Description

    Updated version of Tiny bunny / Style / Art.

    2 version is trained on images with resolutions from 512 to 1024 and produces quite good results.

    This version is great for experimentation and has quite a lot of potential.

    You can play with weights from (TinyBunnyStyle:0.2) to (TinyBunnyStyle:1.6) and get very interesting results.

    The model includes horror elements as well.

    Обновленная версия Tiny bunny / Style / Art.

    2 версия обучена на изображениях разрешением от 512 до 1024 и выдает довольно неплохие результаты.

    Эта версия прекрасно подходит для экспериментов, у нее довольно обширный потенциал.

    Вы можете поиграть с весами от (TinyBunnyStyle:0.2) до (TinyBunnyStyle:1.6) и получите очень интересные результаты.

    Модель включает в себя и хоррор элементы.

    LORA
    SD 1.5

    Details

    Downloads
    394
    Platform
    CivitAI
    Platform Status
    Available
    Created
    8/27/2023
    Updated
    9/28/2025
    Deleted
    -
    Trigger Words:
    TinyBunnyStyle
    MONOCHROME

    Files

    Tiny_Bunny_V2-10.safetensors

    Mirrors

    CivitAI (1 mirrors)