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    Kodak Vision3 200T film style F1D + XL - 200T xl v1.0
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    UpdatePlease if you see any of my models somewhere else report or let me know! Thnx

    Trained on base model F1D + XL

    Please read about version info on the right box

    Feedback and ratings are much appreciated.

    Feel free to check other similar models:

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    Lens Flare Cinematic Reflection style XL

    Low Angle (from below) cinematic style XL

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    Point of view (pov + fps) cinematic subjective camera style XL

    Rotated View (Dutch Angle) Cinematic Style XL

    Realistic Photographic Film Stock Footage Style XL

    Set design style (cinematic scenic design) XL

    Split Diopter style (Deep Focus) XL

    Television advertisement cinematic Film style XL (including fashion models)

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    Description

    xl v1.0

    Lower lora weight if needed.

    FAQ

    Comments (9)

    7727Feb 27, 2025
    CivitAI

    incredible work. is there any trick to captioning style loras? been getting mixed results training with my own photography

    EauDeNoire
    Author
    Feb 27, 2025

    Honestly, I have no clue, training in general can be tricky with many issues. Some models I do, I have to retrain them over, or go with trained steps, till finding best step trained. Best when training, to try training model on images close to style you are trying to create. Still you will always be bound by base model you train your lora's on, no matter what.

    @EauDeNoire how do you perform tests on what is the 'best' for each epoch? for flux specifically. Im interested in what prompts reveal weaknesses or strengths

    EauDeNoire
    Author
    Mar 6, 2025

    @cutetodeath78409597 You can generate same photo with same seed on several lora epoch and then compare them. (as an example)

    @EauDeNoire what are some indications that its gone too far, for instance with this model?

    EauDeNoire
    Author
    Mar 6, 2025

    @cutetodeath78409597 I have no clue about it. You can google it and find more info. on reddit

    7727Mar 6, 2025

    @cutetodeath78409597 in my testing a training has gone too far when the images start to look high contrast and radioactive. It will look overexposed no matter what you do. Sometimes lowering the CFG will help in those cases, but if you're having to do that then the Lora is overtrained. Or it could simply be an issue with the dataset, having too many conflicting images that don't represent a similar enough idea can cause a training confusion of sorts which results in overcooked outputs.

    cutetodeath78409597Mar 6, 2025· 2 reactions

    @EauDeNoire believe me i have. theres conflicting info everywhere. just trying to figure out what people who make good loras actually do and how they train. thanks for your time

    Seamus75Mar 26, 2025· 1 reaction
    CivitAI

    great results! love it!