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
| 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) | |
| <Gallery /> | |
| ## 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](/BlueTriangles/SDXL_Yan_Zhenqing/tree/main) them in the Files & versions tab. | |