CivArchive
    Jennifer Connelly (LoRA SDXL 1.0) - v1.0
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    Although it began with some kind of experiment it's getting closer to desired results, despite of the fact that there is a great range of improvement in base model, especially regarding weird limbs or hands (yes, it's still there!! :( ) Anyway I'm satisfied with this model, waiting for a future improved photorealistic checkpoints based on SDXL base 1.0.

    LoRA weights should be between 1.1 and 1.4 in my experience (but you're free to test)

    For portraits you can use 896 x 1152, 768 x 1344, 832 x 1216, 640 x 1536 or even 768x1024 resolutions.

    This LoRa has been trained after carefully selecting 61 images. All photos have been enhanced to make the most of them. I hope you like it!

    I don't ask for anything but any respectful constructive review (after having tested the model) would be highly appreciated or at least press Like if you're happy with results after trying it out! Thanks in advance and enjoy it!

    Notice: This free work is intended for art and illustration purposes of emergent technology and not intended nor' trained for making illicit images, as the author I've taken care to not use any private data in the training process or designed it for such purposes. By downloading this model you are agreeing with the aforementioned intent and that you will not use my work to create / share images of a potentially immoral and / or illegal nature.

    Description

    FAQ

    Comments (1)

    dokkanmenow4593774Aug 2, 2023
    CivitAI

    I'm getting this error message "RuntimeError: The size of tensor a (2048) must match the size of tensor b (768) at non-singleton dimension 1" when trying to run on sdxl1 model on A1111. What are your settings when running this model?

    LORA
    SDXL 1.0

    Details

    Downloads
    1,187
    Platform
    CivitAI
    Platform Status
    Deleted
    Created
    8/1/2023
    Updated
    5/6/2026
    Deleted
    5/23/2025
    Trigger Words:
    skswoman
    jen4con4

    Files

    Jennifer Connelly.safetensors

    Mirrors

    TensorFiles (1 mirrors)