COSPLAY XL CADS2.0 Character Style Custom LoRa

Miracle-AnyGirl01 New World Model Portrait Maturing LORA Model SDXL File Name: miracle-anygirl.safetensors or miracle-anygirl_v0.6.safetensors Trigger words: 1girl, any_girl, feirenlei (plus one or more of them (Can be enhanced) I don't know why, when I use the style of Lora, the big model figure inexplicably changes... I've tried various methods, and the lock isn't very good, so try using a portrait LoRa to see if it can be fixed. Compared to the original portrait, I think it's quite deteriorated... and it's still a relatively mature image. Start up and change slowly later! Because implicit parameters are uncertain, online synthesis also needs to be optimized... Optimized version 0.6 has improved the rendering quality. Recommended LoRa weight: 0.5 to 1. Generally speaking, there is no problem with using 0.65 directly, or directly using 1 to plot <img src="”" alt="” data-href=” https://liblibai-online.liblib.cloud/img/d6178593b5834f9fa487bca3**ce5d83/f974c**381c22b21308de7283e5660aa703495aade7d7532d7675360a54ea427.png?x-oss-process=im age/resize, w_1290, m_lfit/format, webp” style= " data-href="" style=""/> Recommended Sampling Method: Any Recommended Sampling Steps: Any Recommended Resolution: Unlimited Picture HD Recommended Settings : 8x_NMKD-Superscale_150000_G Self-contained Film Background Noise & nbsp; Or use 4x-UltraSharp for the first layer, use NMKD for the second layer, recommend using the large model: LEOSAM HelloWorld Shinsekai, SDS_FILM/film photography overlay using LoRa filter: SDS_Film Grain_xl_slider can restore the photographic background noise realism test question, please leave a message for Lib. “After paying attention to more fun operation methods, add V-group to get it, and the powder is being ground .” Business Cooperation +V See Homepage Description Non-Human | Metaverse Digital Human/AIgC/Metaverse Direction

miracle-anygirl01.safetensors

AnyGirl

Lichun

1GIRL

nurses

School girl

anime

School sister

Hall style

Chaoying

Files with SHA256: 5c0bbbae821a4ccea9ea61bd34646b0666651f079803eb60677e96b9f9c6527c