CivArchive
    Empty Scene / Blank Scene,Anime,Games - v1.0
    NSFW
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    This LoRA can generate cartoon scenes with empty foregrounds.

    Recommended size is 896*1536, with an iteration count of around 20-50, and a LoRA weight of 1, which can be flexibly adjusted as needed.

    The platform sampler used is FlowMatchEuler, euler.

    Prompt suggestions can be based on example images, and you can add the prefix "dt" and include "nothing on the ground to cover."

    Looking forward to seeing your generated images!!!

    Description

    Recommended size is 896*1536, with an iteration count of around 20-50, and a LoRA weight of 1, which can be flexibly adjusted as needed.

    The platform sampler used is FlowMatchEuler, euler.

    Prompt suggestions can be based on example images, and you can add the prefix "dt" and include "nothing on the ground to cover."

    Looking forward to seeing your generated images!!!

    FAQ

    Comments (2)

    bcbc104Dec 6, 2024
    CivitAI

    Thank you for your great work!It's a truly valuable lora since most of the AI painting now focus on foreground people but not background scene. And could you maybe share some information about the data you used for training this lora? I'm planning to train my own lora on a different base model.

    kirol
    Author
    Dec 8, 2024· 1 reaction

    Sorry, it's been a while, I can't find the data on the cloud platform, the training material can be dozens to hundreds of pictures, I use the traditional tag, or you can use https://github.com/jhc13/taggui?tab=readme-ov-file. This tool is used to label the pictures, and the other parts are dim64/32 or 32/16, 15_xxx, max epochs 8. I hope it will be useful to you.

    LORA
    Flux.1 D

    Details

    Downloads
    491
    Platform
    CivitAI
    Platform Status
    Available
    Created
    9/10/2024
    Updated
    4/30/2026
    Deleted
    -
    Trigger Words:
    dt

    Files

    hengbangv1.safetensors

    Mirrors

    Huggingface (1 mirrors)
    CivitAI (1 mirrors)

    Available On (1 platform)

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