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    This lora recreates the look of the Siemens CX70, an early-2000s 0.3 MP CCD camera phone. It focuses on authentic cx70 color rendering, sensor noise, highlight bloom, soft rendering, and vintage digital imperfections, bringing the nostalgic feel of pre-smartphone photography to any subject.

    Trained on 13 images from https://vk.com/siemensphotography

    The dataset was expanded to 32 images for v2.0.


    There is a different trigger words for each version/model

    Qwen 2.1

    Better than krea2 and 2507 but loses to flux2ds pure physics. Support editing. Works best with 1mp and 3.5cfg.

    Qwen2507

    More of a conceptual than a physical representation of camera effects. A well-visible effect, y2k vibe, slightly sloppy style of qwen2507. 1mp works best.

    Flux.2dev

    Excellent physical representation of the Siemens CX70 camera, good noise distribution, color selection, white balance, composition, and a slightly better understanding of liminality and doomer aesthetics. 0.3-1mp works best, but it can do all flux's 4mp and apply effect on images.

    Krea2

    The dataset was expanded to 32 images.

    Works best with:
    1mp
    1.2 strength (for v1.0)
    Krea2 RAW + 0.6 turbo lora

    in v2.0 trigger words was removed. In most cases, the model applies the effect even to other styles, but sometimes it needs to be forced using prompts like "40mm lens f/2.8, VGA CMOS sensor aesthetic, 0.3 megapixel resolution. Digital photography, significant image noise, heavy grain, slightly overexposed." This is an issue with Qwen-like models.


    I will be very happy to see your ideas that came to mind when exploring the possibilities of this LoRa, so feel free to share your generations! :>

    Description

    FAQ

    LORA
    Qwen 2.1

    Details

    Downloads
    72
    Platform
    CivitAI
    Platform Status
    Available
    Created
    11/4/2026
    Updated
    11/5/2026
    Deleted
    -
    Trigger Words:
    s13m3ns style.

    Files

    Qwen2.1_CX70v3.safetensors

    Mirrors

    CivitAI (1 mirrors)