SDXL - "In a class of her Own" - Yu Lexuan / 漂亮书生 《雨乐暄》
Model description
In a Class of Her Own is a 2020 Chinese television series starring Ju Jingyi, Song Weilong, Bi Wenjun and Wang Ruichang. The series premiered on iQiyi with multi-languages subtitles globally on July 23, 2020.
Also check the SD1.5 model (768x768)
This highly experimental model was trained in a small dataset of only 11 high-quality images. A new version with at least 60 images is being refined. The v1.5 model offers more flexibility.
Usage tips:
♦The activation tag is just "yulexuan', if you can't get a good likeness of him, "asian male", "wearing a small coronet made of fabric" and "wearing blue hanfu" also work.
♦Set clip skip to 1.
♦Include "transparent background" and "black background" in the negative prompt. An error while cleaning the PNGs passed these attributes to the AI and it will show up if lora strength is above 0,7.
♦Resolution of 1024 x 1024, 1024 x 768 or near is also fine as these were the resolutions used for training.
♦LoRa strength can be anywhere from 0.3 to 1. Best results seem to be at 0.6 to 0.8 depending on model.
♦It works best on vanilla SDXL and Realistic Vision XL. Good results on OpenDall-e as well.
♦Use ADetailer instead of face restoration.
♦It has been trained using the base SDXL 1.0 model, so it should be compatible with all checkpoints. This is a photorealistic model, and won't work on Pony.
This model is not filtered and may produce NSFW.
Description
This is the SDXL LoRa version of my first checkpoint ever trained, Yu Lexuan:
This Lora has been optimized to reproduce his most recognizable clothing, a nice blue hanfu. It does a much better job than the checkpoint.
This SDXL version uses a reduced dataset with just 11 high-quality images scrapped from Weibo. I have close to 100 images with varied quality.
Trigger words
You should use yulexuan
to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
Use it with the 🧨 diffusers library
from diffusers import AutoPipelineForText2Image
import torch
device = "cuda" if torch.cuda.is_available() else "cpu"
pipeline = AutoPipelineForText2Image.from_pretrained('stabilityai/stable-diffusion-xl-base-1.0', torch_dtype=torch.float16).to(device)
pipeline.load_lora_weights('YuLexuan30/sdxl-in-a-class-of-her-own-yu-lexuan-piao-liang-shu-sheng-yu-le-xuan', weight_name='YuLexuanSDXL3.safetensors')
image = pipeline('view from the ground up, ground level shot, ground camera angle, wide-angle, yulexuan asian male with long hair wearing soiled blue hanfu and a small coronet made of fabric looking at the sun, best quality, very detailed, hd , ').images[0]
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers
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Model tree for YuLexuan30/sdxl-in-a-class-of-her-own-yu-lexuan-piao-liang-shu-sheng-yu-le-xuan
Base model
stabilityai/stable-diffusion-xl-base-1.0