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    Elemental Golems [F1D,K9B,Chrm,Illu,ZImg] - v1.0 - Flux
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    Construct guardians forged from every material imaginable. Obsidian with veins of molten lava. Translucent amethyst that refracts cavern light. Clockwork brass with ticking escapements and steam valves. Stained glass that projects cathedral light through its body. Living wood with branches growing from its shoulders and birds nesting in its arms. Shadow made of living darkness that bends light around itself.

    Elemental Golems is a style LoRA trained on 20 diverse golem archetypes spanning natural, magical, industrial, and elemental materials. It doesn't lock you into one type — prompt for any material and the LoRA understands the concept of "massive construct guardian made of [substance]" and renders it with appropriate texture, lighting interaction, and environmental context.

    The training dataset was synthetically generated using OpenAI's image generation API, with detailed natural-language captions describing each golem's material properties, lighting behavior, and environmental setting. This gives the LoRA strong material differentiation — an ice golem refracts light differently than a magma golem, and both behave differently than a stained glass golem in a cathedral.

    Available for five base models: Flux, Illustrious, Klein9b, Zimage, and Chroma. The v2 versions (Klein9b, Zimage, Chroma) bring improved material rendering and construct anatomy at lower step counts.

    100% SFW -- dark fantasy constructs, no human figures required.

    Recommended Settings

    • Trigger: None required — the style applies automatically
    • Strength: 0.7–1.0

    More Models

    Full gallery + prompts: https://thalis.dev/models/golems

    Browse all models: https://thalis.dev/models

    Description

    FAQ

    LORA
    Flux.1 D

    Details

    Downloads
    36
    Platform
    CivitAI
    Platform Status
    Available
    Created
    4/10/2026
    Updated
    5/5/2026
    Deleted
    -

    Files

    golems_flux_v1.safetensors

    Mirrors

    CivitAI (1 mirrors)