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    Looking over glasses - v2.0
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    Version 2.0 update:
    after I connected the grid pattern sometimes visible in bright or dark parts of the images with the fp4 training with OneTrainer, I switched to fp8 training, which got rid of the pattern. But I have to redo all my LoRAs to fix them all. With fp8, the training needed a lot less steps, and a rank 4 did work, but with far too many steps. So I increased to 88 images and rank 16 and that learned a lot better. The main keyword is looking over his/her glasses. Additionally you can use lowered on his/her nose, but that is not necessary in most cases. The LoRA tag <lora:LookingOverGlasses-step01760:1> increases reliablity.


    With my LoRAs for the small wire-frame glasses you have a chance that Flux already makes this pose from its own, but here is also a LoRA to get it reliably: a woman "looking seductively over her glasses" which is also the keyphrase I used for the training. The strength varies wildly. You don't expect it, but it is easier with small glasses like in reality. If you use it with the small glasses LoRAs, you can go as low as 0.5 without anything else. With the big vanilla Flux glasses, you may need 1.0 and a additional <lora:LookingOverGlasses-30:1> tag. But so far, it looks like you can retain the shape from the first LoRA and add only the pose if you get the strength right.

    Description

    Version 2.0 is trained with fp8, getting rid of the grid pattern sometimes visible in the images. The dataset was expanded significantly for more variety. The rank was expanded to 16 because the concept was simply to complex for a rank 4.

    FAQ

    LORA
    Flux.1 D

    Details

    Downloads
    239
    Platform
    CivitAI
    Platform Status
    Available
    Created
    12/31/2024
    Updated
    5/15/2026
    Deleted
    -
    Trigger Words:
    looking over glasses
    lowered on nose

    Files

    LookingOverGlasses-step01760.safetensors

    Available On (1 platform)

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