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    Ghibli style (Kiki's Delivery Service) - XL V1.0
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    QWEN

    v3 :

    After training way more qwen loras, I've tried to apply everything I've learned with this one.
    Trigger word is now simply 'ghibli style'

    It should be more flexible and closer to the style of the movie. But to do characters of the movie, v2 is better.


    v2 :
    I've experimented way more with qwen training and this version is way better than v1. The lora is a bit big (600mo) because it's like 18k steps. And I've added a trigger token for the style :
    'KikiLaPetiteSorciere style'


    To generate all images, I've used Qwen-Image (BF16) + Lightning Lora (4 steps) + my lora with weight of 1.
    DDIM with Beta, 4 steps, CFG 1.

    For some of them, I've upscaled with my flux lora version of this one, and this workflow.

    v1 :

    First qwen-image lora i've trained.
    I'm still testing and learning

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    FLUX

    First attempt at a Flux Lora (trained on Civitai).

    The dataset consists of 28 screencaps (1920 × 1024) from the Ghibli movie Kiki's Delivery Service by Hayao Miyazaki.

    I used Florence2 to caption the images, then manually corrected the captions to fix any accuracy errors and to add the trigger phrase:

    'a KikiLaPetiteSorciere style image of


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    SDXL

    Trigger words : KikiLaPetiteSorciere style

    For the character Kiki : kiki (majo no takkyuubin), red bow

    Trained on 1000 images screencap from the movie Kiki's Delivery Service by Hayao Miyazaki

    All images displayed were made with Dreamshaper XL Lightning :

    Lora's strength of 1

    1216x832

    CFG 2

    6 steps

    DPM++ SDE Karras

    Clip skip 2

    Only the jedi one was inpainted (she had 3 legs...)

    Description

    LORA
    SDXL 1.0

    Details

    Downloads
    569
    Platform
    CivitAI
    Platform Status
    Available
    Created
    6/18/2024
    Updated
    12/28/2025
    Deleted
    -
    Trigger Words:
    KikiLaPetiteSorciere style

    Files

    KikiLaPetiteSorciere_v2.safetensors

    Mirrors

    581595_training_data.zip

    Mirrors

    CivitAI (1 mirrors)