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    LTX-2.3 Surface Realism LoRA - kills the plastic - v1.0
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    LTX-2.3 Surface Realism LoRA

    Kills the plastic. Every surface earns its age.

    LTX-2.3 (and the image models feeding it first frames) defaults to clean, smooth, showroom-new surfaces: pristine asphalt, unmarked walls, grounds that read as rendered geometry. This LoRA is an always-on materials prior: cracked wet asphalt stays cracked and wet, concrete gets pores and rust streaks, floors scuff, weeds mat, wood grains. It pushes every render toward surfaces that have existed in weather.

    No trigger wordAudio-safe1,152 tensors video only24 fps recommended

    No trigger word — by design

    The training captions name only material, condition, framing, and light — they deliberately contain zero realism vocabulary ("photoreal", "detailed", "8k" never appear). The realism therefore trains as unconditional LoRA behavior instead of a phrase you have to remember. Load it at 1.0 and write your prompts normally; concrete material nouns ("scuffed linoleum", "rust-streaked concrete") still help composition, as they always did.

    Voice / audio safe by construction

    1,152 LoRA tensors, all in the video branches (attn1 / attn2 / ff). Zero audio-touching tensors: dialogue, voices, and accents render byte-identical with or without this LoRA. Verified alongside an audio-branch accent LoRA in the same stack with no interference.

    Video-branch tensors1,152Audio-branch tensors0Cross-LoRA interferenceNone detected

    Usage

    • Strength 1.0 in any LTX-2.3 LoRA loader.

    • Compatible with the LTX-2.3 22B family: stock distilled 1.1 and the JoyAI-Echo surgical merges.

    • If you render dialogue: keep your workflow at 24 fps — not for this LoRA's sake, but because off-24 fps drifts every LTX voice toward British/Australian regardless of prompt.

    Training

    ai-toolkit on an RTX 3090, rank 32 / alpha 32, 3,000 steps, lr 1e-4, qfloat8. Base: stock ltx-2.3-22b-distilled-1.1. Data: 1,076 hand-curated surface plates (from a 1,900+ candidate pool) generated with Z-Image Turbo specifically for this training — grounds, walls, floors, and weathered materials under varied light. Every image is self-generated; no third-party photography. The module scope excludes every audio branch, which is what guarantees the audio lane stays untouched.

    Rank / Alpha

    32 / 32

    Steps

    3,000

    LR

    1e-4

    Precision

    qfloat8

    Data Plates

    1,076

    GPU

    RTX 3090

    Also available on

      HuggingFace: joeygambino/ltx23-surfaces-realism-lora



    Support this work

    Everything I publish — workflows, merges, quants, patches — is free and stays free. The models are non-commercial by license and I have no plans to change that.

    If something here saved you an evening:

    Bug reports are worth as much as money. Most of the fixes in these packages exist because somebody posted a log.

    Description

    FAQ

    Comments (2)

    QualityControlJul 30, 2026· 2 reactions
    CivitAI

    got some comparisons on/off? the kitchen cooking example is still very shiny

    joeygambino
    Author
    Jul 30, 2026

    I will work on that! Didn't even cross my mind.

    LORA
    LTXV 2.3

    Details

    Downloads
    109
    Platform
    CivitAI
    Platform Status
    Deleted
    Created
    7/30/2026
    Updated
    8/2/2026
    Deleted
    7/31/2026

    Files

    ltx23_surfaces_v1_rank32.safetensors

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