Instructions to use BlueTriangles/SDXL_Yan_Zhenqing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use BlueTriangles/SDXL_Yan_Zhenqing with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("OnomaAIResearch/Illustrious-XL-v2.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("BlueTriangles/SDXL_Yan_Zhenqing") prompt = "sdxl-yan-zhenqing" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- output:
url: images/20260513103309-4052474630.jpg
text: sdxl-yan-zhenqing
- output:
url: images/20260513103323-4052474633.jpg
text: sdxl-yan-zhenqing
- output:
url: images/20260513103347-1394560721.jpg
text: sdxl-yan-zhenqing
- output:
url: images/20260513103349-1394560722.jpg
text: sdxl-yan-zhenqing
base_model: OnomaAIResearch/Illustrious-XL-v2.0
instance_prompt: sdxl-yan-zhenqing
license: cc-by-nc-sa-4.0
Yan Zhenqing(顔真卿)

- Prompt
- sdxl-yan-zhenqing

- Prompt
- sdxl-yan-zhenqing

- Prompt
- sdxl-yan-zhenqing

- Prompt
- sdxl-yan-zhenqing
Model description
Trained with 30 images, 30 epochs, 10 iterations for 960 steps. Trigger and useful keywords are as follows.
Appearance: sdxl-yan-zhenqing, facial hair, male focus, beard, old man, white hair, mustache, grey hair, brown eyes, thick eyebrows
Outer: sdxl-hanfu-8c, eboshi, hat, black hat, chinese clothes, hanfu, long sleeves, red dress, coat, black boots
Trigger words
You should use sdxl-yan-zhenqing to trigger the image generation.
Download model
Download them in the Files & versions tab.