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    凡人仙修仙传_宋玉/The Immortal Ascension/songyu - v1.0
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    凡人修仙传宋玉。基于虚幻5打造的建模,国产建模天花板了

    Song Yu from The Immortal Ascension —featuring a character model built on Unreal Engine 5—represents the absolute pinnacle of domestic 3D modeling.

    1. 触发词 / Trigger Words

    songyu

    推荐搭配提示词:

    Recommended prompt tags:

    (hanfu boots),green dress,white dress,long hair,sash,jewelry,brown black hair,earrings,detached sleeves,sash,necklace,hair ornament,clothing cutout

    2. VAE / VAE

    使用 SDXL VAE,可在 Hugging Face 搜索下载 sdxlVAE_sdxlVAE.safetensors。

    Recommended VAE: search Hugging Face for sdxlVAE_sdxlVAE.safetensors.

    3. 数据集说明 / Dataset

    训练集为 600+ mixed dataset,混合 face、outfit、head ornament、hair、full-body silhouette 等多种构图。数据集质量决定 90% 的 LoRA 效果。

    The training dataset contains 600 mixed images, covering face, outfit, head ornament, hair, and full-body silhouette. Dataset quality determines 90% of the final LoRA quality.

    4. 训练参数 / Training Config Toml

    model_train_type = "sdxl-lora"
    pretrained_model_name_or_path = "path to your base model"
    vae = "path to sdxlVAE_sdxlVAE.safetensors"
    train_data_dir = "path to dataset"
    resolution = "1024,1024"
    enable_bucket = false
    output_name = "songyu_illustrious"
    output_dir = "path to output lora"
    save_model_as = "safetensors"
    save_precision = "bf16"
    save_every_n_epochs = 2
    save_state = true
    save_last_n_epochs_state = 2
    max_train_epochs = 18
    train_batch_size = 2
    gradient_checkpointing = true
    network_train_unet_only = false
    network_train_text_encoder_only = false
    unet_lr = 0.00006
    text_encoder_lr = 0.000006
    lr_scheduler = "constant_with_warmup"
    lr_warmup_steps = 100
    optimizer_type = "AdamW8bit"
    network_module = "networks.lora"
    network_dim = 96
    network_alpha = 96
    caption_extension = ".txt"
    shuffle_caption = true
    keep_tokens = 1
    mixed_precision = "bf16"
    xformers = true
    cache_latents = true
    cache_latents_to_disk = false
    persistent_data_loader_workers = true
    sample_width = 960
    sample_height = 1440
    sample_cfg = 6
    sample_steps = 32
    sample_sampler = "DPM++ 2M SDE Karras"
    sample_every_n_epochs = 2

    5. ADetailer 脸部增强
    推荐启用 ADetailer Face Detection,并使用相同 LoRA 进行脸部细节修复。推荐参数:DPM++ 2M SDE Karras、1024×1024、Denoise 0.65,ADetailer Prompt 示例:

    It is recommended to enable ADetailer Face Detection and use the same LoRA for face enhancement. Recommended settings: DPM++ 2M SDE Karras, 1024×1024, Denoise 0.65. Example ADetailer Prompt:

    songyu

    Description

    LORA
    Illustrious

    Details

    Downloads
    55
    Platform
    CivitAI
    Platform Status
    Available
    Created
    6/1/2026
    Updated
    6/29/2026
    Deleted
    -
    Trigger Words:
    songyu
    hanfu boots
    green dress
    white dress
    long hair
    sash
    jewelry
    brown black hair
    earrings
    detached sleeves
    necklace
    hair ornament
    clothing cutout

    Files

    songyu_v1.safetensors

    Mirrors

    CivitAI (1 mirrors)