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    Tintin comic style - Flux v1.0
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    Klein 9B

    Showcase images :

    • Distilled model

    • 768x1152

    • Euler / normal / 4 steps / CFG 1

    • Lora strength of 0.8-1

    Qwen:

    v2: Retrained on a completely new and higher quality dataset (same one used for training the ZIT version)

    ZIT:

    Showcase images settings :

    • Lora strength 0.7 - 0.8

    • DDIM & Beta

    • 10 steps & 1 CFG

    • 1056x1584

    • 'comic style image'

    • Long Markdown type prompt for some of them

    Flux:

    Trained on 30 images handpicked from the comic The adventures of Tintin

    It's a style Lora, so it doesnt really know the characters (except maybe Tintin and his dog which Flux already knew a bit).

    a bande dessinée style image of

    with a weight around 0.8-1. (for Qwen it's 1)

    Description

    FAQ

    Comments (5)

    blobby99Nov 27, 2024· 4 reactions
    CivitAI

    Big thanks for including the prompts. It is always cool when an author so loves their LORA that they post tons of example renders! Looks excellent.

    Yofaraway
    Author
    Nov 27, 2024

    It's frustrating when you open a Lora page and there is only one or two images

    benjaminbardouNov 30, 2024· 2 reactions
    CivitAI

    Nice results!
    I'm using Flux1D-fp8 (only have 8GB VRAM) on ComfyUI and the results looks less good than yours.
    Did your results are from fp16 version on Flux?
    Many thanks!

    Yofaraway
    Author
    Nov 30, 2024

    I can't run Flux localy so I use TensorArt, and they say it's fp8.
    Most of the time I generate images at 768x1152, then upscale it x1.5 (denoising strength around 0.5 and 4x_NMKD_Siax_200k as upscaler).

    benjaminbardouDec 1, 2024· 1 reaction

    Thank you very much!

    LORA
    Flux.1 D

    Details

    Downloads
    741
    Platform
    CivitAI
    Platform Status
    Available
    Created
    11/26/2024
    Updated
    5/4/2026
    Deleted
    -
    Trigger Words:
    bande dessinée style

    Files

    Tintin_comic_style_flux.safetensors

    Mirrors

    Other Platforms (TensorArt, SeaArt, etc.) (1 mirrors)