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    Anne Hathaway (SDXL+FLUX) - FLUX v1.0
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    Please Donate Buzz for FLUX Lora Training !

    FLUX v1.0 Hathaway :

    Trained on FLUX.1 [dev] with 80 photos of Anne Hathaway with detailed GPT-4 captions. Tested on FLUX 1.dev (full) and FLUX fp8 and FLUX nf4 ! Use around strength 0.8-1.0. Distilled CFG around 1-4 and CFG 1.0 (without negative prompt). Clipskip 1. Can be used for example as follows:

    Positive : {Artstyle, Character and scene description in usual FLUX fashion}, <lora:Anne_Hathaway_FLUX_v1_epoch_49:1>

    SDXL v2.0 :

    Trained on Juggernaut X with 199 photos of Anne Hathaway with an improved Lora training method for better likeness and flexibility. Tested on Juggernaut X, Juggernaut v7, RealismEngine 2, RealVisXL3 and AlbedoBaseV2! Use with keyword : "anxhthway" . Use around strength 1.0. CFG 5.0-7.0. Clipskip 1. Can be used for example as follows:

    Positive : {Artstyle}, {Character and scene description}, anxhthway, <lora:anhathaway_juggerX_xl_1_standard_wocap_merger_56prev_51_72_04_03_03-anxhthway:1.0>

    Negative : ugly, deformed, airbrushed, photoshop, rendered, (multiple people), child, mouth open

    SDXL v1.0

    Lora trained on 190 images of Anne Hathaway on the SDXL 1.0 base model. The recommended Lora strength for ComfyUi is 0.9-1.1.

    Description

    FLUX v1.0 Hathaway :

    Trained on FLUX.1 [dev] with 80 photos of Anne Hathaway with detailed GPT-4 captions. Tested on FLUX 1.D (full) and FLUX fp8 and FLUX nf4 ! Use around strength 0.8-1.0. Distilled CFG around 1-4 and CFG 1.0 (without negative prompt). Clipskip 1. Can be used for example as follows:

    Positive : {Artstyle, Character and scene description in usual FLUX fashion}, <lora:Anne_Hathaway_FLUX_v1_epoch_49:1>

    FAQ

    Comments (4)

    picnicAug 22, 2024· 1 reaction
    CivitAI

    Can you ask why your lora training style is so small? 18M, are the pixels of the training set collected by the network? 1024?

    steffangund
    Author
    Aug 22, 2024· 1 reaction

    I am training on 1024 pixels but I keep alpha/dim at 2/16. So the output netwrok is quite small. It costs quite a bit of buzz to train so I haven't tested enough. I am training some new models with slightly different dimension and netwrok alphas to see how it goes. if that goes fine I will also experiment with the number of training images, captioning depth, training steps, scheduler and lerning rate. I simply dont have enough buzz to do so constantly though.

    philnoneAug 26, 2024
    CivitAI

    Hi steffangund,

    your models are truly some of the best I’ve seen!

    I noticed you used GPT-4 for generating captions. Can I ask you the prompt you used to tell GPT4 to act as prompt generator (or maybe you used Caption Helper)? did you make any manual adjustments after the generation?

    Thanks for your amazing work!

    steffangund
    Author
    Aug 26, 2024

    No I kept them just as is . I found a good enough preompt where most of the captions are quite good. The most important thing is the image quality and variety.