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    斗破苍穹_萧薰儿_中洲/Battle_Through The Heavens/xiaoxuner_zhongzhou_outfit - v1.0
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    斗破苍穹动漫,萧薰儿中洲服饰

    Battle Through the Heavens Anime, Xiao Xun'er's Zhongzhou Outfit

    1.触发词/Trigger Words:

    <lora:xiaoxuner_zhongzhou_outfit_pony:0.85>,xiaoxuner_zhongzhou_outfit,black hair,1girl, green blue dress,detached collar,clothing cutout,bare shoulders,gold trim,sleeves,hair ornament,earings

    2. 训练时选用的 Diva 3D Danira base mode 无VAE,可搜索Hugging Face下载sdxlVAE_sdxlVAE.safetensors

    The model was trained using the Diva 3D Danira base model (no VAE). You can search on Hugging Face to download sdxlVAE_sdxlVAE.safetensors.

    3. 权重0.75-0.85服饰还原度较高,配合adetailer lora
    xiaoxuner_zhongzhou_face

    Using a weight between 0.75 and 0.85 gives higher clothing accuracy. For best results, use together with the adetailer LoRA: xiaoxuner_zhongzhou_face.

    4. 训练集参考Optional Files

    Please refer to the Optional Files for the training dataset reference.

    5. 完整训练参数,感兴趣的朋友尽情调优

    Here are the complete training parameters, feel free to fine-tune.

    model_train_type = "sdxl-lora"
    pretrained_model_name_or_path = "F:/SD/sd-webui-linux/models/Stable-diffusion/diva3DDanira_v10NoVAE.safetensors"
    resume = ""
    vae = "F:/SD/sd-webui-linux/models/VAE/sdxlVAE_sdxlVAE.safetensors"
    train_data_dir = "F:/SD/training_dataset/btth/xiaoxuner_zhongzhou_outfit"
    prior_loss_weight = 1
    resolution = "896,1344"
    enable_bucket = false
    min_bucket_reso = 512
    max_bucket_reso = 1536
    bucket_reso_steps = 64
    bucket_no_upscale = true
    output_name = "xiaoxuner_zhongzhou_outfit_pony"
    output_dir = "F:/SD/trained_loras"
    save_model_as = "safetensors"
    save_precision = "bf16"
    save_every_n_epochs = 2
    save_state = true
    save_last_n_epochs_state = 2
    max_train_epochs = 24
    train_batch_size = 2
    gradient_checkpointing = true
    gradient_accumulation_steps = 1
    network_train_unet_only = false
    network_train_text_encoder_only = false
    learning_rate = 0
    unet_lr = 0.00008
    text_encoder_lr = 0.000005
    lr_scheduler = "constant_with_warmup"
    lr_warmup_steps = 50
    optimizer_type = "AdamW8bit"
    network_module = "networks.lora"
    network_dim = 64
    network_alpha = 64
    randomly_choice_prompt = false
    positive_prompts = "xiaoxuner_zhongzhou_outfit, 1girl, long hair, solo, dress, full body, jewelry, hair ornament, earrings, bare legs, black hair, white dress, railing, detached sleeves, blue dress, brown hair, bare shoulders"
    negative_prompts = "lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry"
    sample_width = 896
    sample_height = 1344
    sample_cfg = 6
    sample_seed = 2333
    sample_steps = 30
    sample_sampler = "euler_a"
    sample_every_n_epochs = 1
    log_with = "tensorboard"
    logging_dir = "./logs"
    caption_extension = ".txt"
    shuffle_caption = true
    keep_tokens = 1
    keep_tokens_separator = ""
    max_token_length = 255
    color_aug = false
    flip_aug = false
    random_crop = false
    seed = 1337
    mixed_precision = "bf16"
    no_half_vae = true
    xformers = true
    lowram = false
    cache_latents = true
    cache_latents_to_disk = false
    persistent_data_loader_workers = true
    vae_batch_size = 1
    optimizer_args = [ "weight_decay=0.01" ]

    Description

    LORA
    Pony

    Details

    Downloads
    7
    Platform
    CivitAI
    Platform Status
    Available
    Created
    5/28/2026
    Updated
    5/28/2026
    Deleted
    -
    Trigger Words:
    xiaoxuner_zhongzhou_outfit

    Files

    xiaoxuner_zhongzhou_outfit_pony.safetensors

    xiaoxuner_zhongzhou_outfit_training_dataset.zip