
1、This model is based on novel,but it de well on some models.
2、The lora is train with high resolution(1536x1536), so it can directly generate 1024 * 1536 images without producing any excess head or body( I suggest changing cfg to between 3 and 5 without higfix)
3、I suggest using both highfix and controlnet new tile model (cfg: 7-11, Denoising strength: 0.3-0.6,sd-webui-lora-block-weight:MIDD),.It performed very well with .
1、模型基于novel,但是也应该能在其余模型上面表现的不错,
2、训练lora的使用了1536*1536的分辨率,所以它可以在很少出现多余头部(头上加头)的情况下直出大图,但是这种情况下需要吧cfg调低(3-5),
3(我比较建议的)还是老实开高清修复和controlnet最新的tile(不是原来的tile啊),这种情况下使用分层控制的MIDD,同时加上cfg 7-11,重绘幅度:0.3-0.6(你觉得不像就多加点),在这种情况下表现的很不错,
描述:
训练词语: emilia (re:zero)
名称: emilya.safetensors
大小 (KB): 147573
类型: Model
Pickle 扫描结果: Success
Pickle 扫描信息: No Pickle imports
病毒扫描结果: Success