CivArchive
    Kintsugi Art: Beyond Ceramics (Flux 3 Klein) - v1.0
    NSFW
    Preview 148268256
    Preview 148268273
    Preview 148268250
    Preview 148268249
    Preview 148268255
    Preview 148268269
    Preview 148268265
    Preview 148268270
    Preview 148268275
    Preview 148268277
    Preview 148268280
    Preview 148268281
    Preview 148268282
    Preview 148268284
    Preview 148268285
    Preview 148268286

    This model is designed to recreate the aesthetic of Kintsugi

    the art of repairing objects with gold. We have intentionally moved beyond the cliché of simply showing cracks on cups or tableware (though the model handles these flawlessly) to demonstrate the full potential of this technique when applied to complex biomechanical and organic surfaces.

    The test presets showcase a combination of 3D scarification, Māori-inspired patterns, and gold inlay. The model captures the physical properties of gold leaf, effectively "pouring" molten metal into the grooves of the skin’s texture, while generating authentic ambient occlusion and studio-quality highlights.

    Recommended Settings and Weights

    Kintsugi LoRA Weight:

    0.60 (an optimal balance that preserves the underlying skin geometry while ensuring a convincing gold inlay).

    Tattoo / Pattern LoRA Weight: 1.00 (to maintain a crisp, well-defined structure).

    Aspect Ratio: 2:3 (recommended for portrait-oriented studio shots and high-resolution output).

    Prompting for Texture:

    Using terms like "scarification," "Māori patterns," and "embossed depth" will trigger a deep, 3D-inlay effect.

    Workflow Details (ComfyUI Workflow Included)

    Embedded within the image file is a complete workflow, featuring:

    A tested, verified prompt.

    Two standard LoRA loaders.

    A custom API node, the "Orakul HF Loader":

    Allows for the direct loading of up to 4 LoRAs from the Hugging Face repository, eliminating the need for manual local downloads.

    Includes a toggle for memory management: choose between keeping the model in RAM/VRAM during batch generation or performing a one-time download followed by immediate memory release.

    A repository containing my free API models:

    https://huggingface.co/OrakulStorm/Zero-Disk-VRAM-Streaming-Engine

    My toolkit for training models:

    https://github.com/OrakulStudio/AI-Toolkit-Windows11

    Description

    The model is trained using full, non-quantized weights with a 2048x2048 dataset.

    LORA
    Flux.2 Klein 9B-base

    Details

    Downloads
    16
    Platform
    CivitAI
    Platform Status
    Available
    Created
    11/8/2026
    Updated
    11/8/2026
    Deleted
    -
    Trigger Words:
    r32f3kitsugi2048

    Files

    r32f3kitsugi2048.safetensors

    Mirrors

    CivitAI (1 mirrors)

    Zero-Disk-VRAM-Streaming-Engine.zip

    Mirrors

    Workflow-orakul-studio.zip

    Mirrors

    CivitAI (1 mirrors)