CivArchive
    DilanGwyn_flux_lora_v2 - v2.0
    NSFW
    Preview 1
    Preview 2
    Preview 3
    Preview 4
    Preview 5
    Preview 6
    Preview 7

    Dilan Gwyn

    About my celebrities loras
    90% of the dataset used to build my loras only use head images. That really help the blend with other lora or model as there is no hands, feet, that may or will interfere in the final image render. When you get distorted hands with a person lora, it's because there is info on hands in the dataset used to train the lora, but that will not happen with my loras.

    I've trained on Flux.1 Dev so other merged or trained checkpoint may not work well with my loras.

    The drawback side of that is that the body may not be reflecting the reality. It may not be a drawback tho.

    This one is one of my first Flux lora and I had a very limited dataset. So it may produce unexpected result or have less quality output compare to my other loras. If you want me to improve it, you can help me by providing a link to better dataset images.

    This is a lora for Flux.1 Dev. Work with other model but you must drop some simple bloc (good start 19-32).

    Trained with ai-toolkit, so merging it is not easy.

    To get the best result

    Guidance: 2.2-3

    Steps (dev): 30-40

    daemon detailer (laying Sigma Sampler): factor: -0.02, start 0.06, end 0.7

    Resolution: Upscale the latent by 1.25 or 1.5 you'll get awsome result. (take longer time but worth it)

    Trigger word is (may work better in certain context): ohwx

    Enjoy!

    Description

    V2, improved likeness by improving the dataset a little

    V1, very limited dataset and bad quality dataset providing bad verion

    LORA
    Flux.1 D

    Details

    Downloads
    12
    Platform
    SeaArt
    Platform Status
    Available
    Created
    12/18/2024
    Updated
    12/18/2024
    Deleted
    -
    Trigger Words:
    ohwx

    Files

    Available On (1 platform)

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