CivArchive
    Negative Space - v1.2 Flux Dev
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    A Lora for creating negative space style images, where the focus of the image is removed from the picture rather than drawn into it.

    Prompt syntax

    "Negative space image showing primary focus your_subject_here and secondary focus your_background_here".

    Example:

    Negative space image showing primary focus a close up of a woman and secondary focus a summer sky

    Please consider liking this model and following me for more updates and styes :)

    Description

    FAQ

    Comments (5)

    Enno89Sep 21, 2024
    CivitAI

    Cool model.

    But Flux is to muchfor my sstem, so is there a chance for a Pony Version?

    CrasH
    Author
    Sep 21, 2024

    I think Pony would struggle with this, it doesn't really have the understanding that Flux has. Have you tried one of the quantised versions of Flux? They can run on lower requirements.

    Enno89Sep 21, 2024

    @CrasH thanks for the quick answer and your tipp with quantised versions, i will take a look at them ^^

    fluxbloomApr 6, 2025
    CivitAI

    I had a question for you since right now you're the only one with this type of lora on any site. Have you tested it in reverse? Instead of filling a shape, have you tested if you can fill the space around it instead?

    CrasH
    Author
    Apr 7, 2025

    I've not, but I imagine it should work. Might actually be pretty easy to create data for too - just generate the image of the cutout you want (vehicle/PC/person, etc.), then apply that as a mask layer of some other image to remove the shape. Then tag it up like the prompt I used for this one but in reverse for the "primary"/"secondary".

    LORA
    Flux.1 D

    Details

    Downloads
    261
    Platform
    CivitAI
    Platform Status
    Available
    Created
    9/20/2024
    Updated
    6/27/2026
    Deleted
    -
    Trigger Words:
    Negative space image showing primary focus
    and secondary focus

    Files

    negative_space_v1.2.safetensors

    Mirrors

    Available On (1 platform)

    Same model published on other platforms. May have additional downloads or version variants.