DatAss Rev FINAL - Pony Realism
详情
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关于此版本
模型描述
信息:
此模型仅基于女性数据进行合并与训练。虽然可以描绘男性,但灵活性较低。
LoRA 训练:
使用 wdv3 标注或真实标注,我 personally 使用 TagGUI 中的 Florence-2 Large
基于基础小马模型训练,我认为结果已足够接近
使用 Prodigy 优化器,d-coeff 设置为 0.5
使用掩码训练,面部使用 1.0 的 alpha 掩码,身体使用 0.3,如可能,请从掩码中移除手和脚
不训练文本编码器,仅训练 UNet
建议训练步数为 600 - 1000 步
推荐设置:
采样器:Euler a + AYS(Align your steps)
分辨率:832x1216
步数:14
CFG:4 - 7
扰动注意力引导:2.7
高分辨率放大器:4x_NMKD-Siax_200k
采样器:DPM++ 2M SDE + SGM Uniform
步数:30 - 50(或使用 SDXL Hyper LoRA 以 0.5 权重时为 12 步)
去噪强度:0.25 - 0.35
提示:
通常以评分标签开头。我本人在每个提示前都会加上以下大量标签:
score_9, score_8_up, score_7_up, photo, source_photo, source_real, RAW, 8k, low quality, traditional media, amateur, real life photo, film grain, dark, darkness, dim night light, light flash, very dark focused flash photo, (dark background:0.75), low light, detailed face
DatAss Rev 2 配方:
第1步:GameArt Pony + CyberRealistic Pony (0,0.1,0.2,0.3,0.3,0.3,0.3,0.3,0.3,0.2,0.2,0.2,0.3,0.3,0.3,0.3,0.3,0.3,0.2,0.1)
第2步:第1步 + 自定义训练的小马模型 (0,0.15,0.25,0.3,0.25,0.2,0.15,0.15,0.1,0.1,0,0.1,0.1,0.15,0.15,0.2,0.25,0.3,0.25,0.15)
第3步:第2步 + (Damn Pony Realism - CyberRealistic) (0,0.35,0.6,0.65,0.45,0.25,0.1,0.1,0.05,0.05,0,0.05,0.05,0.1,0.1,0.25,0.45,0.65,0.6,0.35)
第4步:第3步 + (Personal Anteros Mix - SDXL) (0,0.25,0.4,0.45,0.25,0.15,0.1,0,0,0,0,0,0.05,0,0.1,0.15,0.25,0.45,0.4,0.25)
第5步:第4步 + (第4步 (+SG 微调) - 第4步) (0,0.2,0.55,0.43,0.35,0.1,0.05,0.05,0.05,0.05,0.05,0.05,0.05,0,0.05,0.05,0.05,0.05,0.05,0.05,0.05,0.1,0.35,0.43,0.55,0.2)
第6步:第5步 + Personal Anteros Mix (0,0.1,0.28,0.28,0.2,0.1,0,0,0,0,0,0,0,0,0,0.1,0.2,0.28,0.28,0.1)
第7步:第6步 + ICKPOTLycoXL 0.25 + photo_v2 0.2



















