Instructions to use TatiSol/orc-warrior-lora-sdxl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TatiSol/orc-warrior-lora-sdxl with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("TatiSol/orc-warrior-lora-sdxl") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Orc Warrior LoRA (SDXL)

- Prompt
- -
Model description
Orc Warrior LoRA (SDXL)
This is a LoRA trained on a low-poly fantasy orc warrior character using zylim0702/sdxl-lora-customize-training.
- Base model: stabilityai/stable-diffusion-xl-base-1.0
- Trigger words: `orc warrior, low poly orc`
- Recommended resolution: 768×768
- LoRA scale: 0.7–1.0
Example prompt
`orc warrior, low poly fantasy style, 3D render, cinematic lighting, game character design`
Trigger words
You should use orc warrior to trigger the image generation.
Download model
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Model tree for TatiSol/orc-warrior-lora-sdxl
Base model
stabilityai/stable-diffusion-xl-base-1.0