Natalie Portman (SDXL + FLUX)

    Natalie_Portman_Squared_FLUX_v3_merger_31_52_61_02_05_03.safetensors LORA / Flux.1 D

    Model Information
    Model Name
    Natalie Portman (SDXL + FLUX)
    Version
    FLUX v3.0 (2000-2004)
    Size
    73.14 MB
    Downloads
    1,518
    Torrent Details
    BTIH
    B30C0F2F3D7E8308712992428FFAE8D8DEE19B3C
    BTMH
    CD8D7C5B520D59DDC2433832E4694BABD8C3FC57C59E4125378E4230A63D2C62
    SHA256
    25C1B108410856368BF48A815B8C9200C3FACF4F77D33994645A2DD7EFB97F59
    Upload Date
    about a year ago
    Uploader
    CivitasBay.org
    Status
    3 Seeders
    0 Peers
    Info

    Please Donate Buzz for FLUX Lora Training !

    FLUX v.3 (2000-2004) :

    Trained on FLUX.1 [dev] with 85 photos of Natalie Portman in 2000-2004 with detailed GPT-4o captions and square 1024px ratios. Tested on FLUX 1.dev (full) and FLUX fp8 and FLUX nf4 ! Use around strength 0.9-1.2. Distilled CFG 3.5 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:Natalie_Portman_Squared_FLUX_v3_merger_31_52_61_02_05_03:1.1>

    FLUX v.2 :

    Trained on FLUX.1 [dev] with 84 photos of Natalie Portman with GPT-4 captions. Tested on FLUX 1.dev (full) and FLUX fp8 and FLUX nf4 ! Use around strength 0.8-1.2. Distilled CFG 3.5 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:natportman_2004_local_164_v2-000005:1.0>

    FLUX v.1 (Portman in 2004) :

    Trained on FLUX.1 [dev] with 100 photos of Natalie Portman in 2004 with GPT-4 captions. Tested on FLUX 1.dev (full) and FLUX fp8 and FLUX nf4 ! Use around strength 0.8-1.2. Distilled CFG 3.5 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:Natalie_Portman_2004_FLUX_epoch_16:1.1>

    SDXL v6.0 2004:

    Trained on Juggernaut X with 230 photos of Natalie Portman from 2003-2004. Tested on Juggernaut X, Juggernaut v7, RealismEngine 2, RealVisXL3 and AlbedoBase 2.0! Use with keyword : "ntxprtman" . Use around strength 1.0-1.1. CFG 5.0-7.0. Clipskip 1. 10-40 steps. Can be used for example as follows:

    Positive : {Artstyle}, {Character and scene description}, elxolsn, <lora:natportman_2003_juggerX_xl_1_wocap-natxprtmn-000149:1.0>

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

    SDXL v5.0 Juggernaut X :

    Trained for Juggernaut X with 270 photos of Natalie Portman. Use with Juggernaut X, Juggernaut v7 or RealismEngine 2. Works best with Juggernaut X. Use with keyword : "natxportman". Can be used for example as follows:

    Positive : {Artstyle}, {Character and scene description}, natxportman, <lora:natportman_gpt4_juggernautX_2_wocap-merger_21_65_83_04_02_04-natxportman:1.0>

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

    SDXL v4.0 80mb :

    Trained on 137 photos of Natalie Portman with an improved Lora model which has a much reduced size while maintaining likeness. Put the keyword : "natxportman" at the beginning of prompts! Use Lora with strength around 1.1.

    SDXL v3.1:

    Trained on a subset of the 200 images dataset from v3.0 but that is better balanced and has better captioning (more refined GPT-4 Vision prompt). Lora strength between 0.8-1.2.

    SDXL v3.0:

    Retrained on 200 images but with an improved Lora training method and model to yield higher flexibility while preserving likeness and GPT-4 Vision captioning. Keep weight at 1.05-1.1.

    SDXL v2.0:

    Lora trained on 270 images of Natalie Portman with SDXL 1.0 base. The lora is also tested on Juggernaut XL 3.0. Most of the sample images were created with Juggernaut other than the "...2004..." generated ones.

    SDXL v1.0:

    LoRa trained on 45 images of Natalie Portman with SDXL 1.0 base, The recommended strength for ComfyUi is 1.1.

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