Instructions to use StaticExposure/benji-style-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use StaticExposure/benji-style-lora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Qwen/Qwen-Image", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("StaticExposure/benji-style-lora") prompt = "BENJIBOOK" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
| base_model: Qwen/Qwen-Image | |
| library_name: diffusers | |
| tags: | |
| - lora | |
| - qwen-image | |
| - text-to-image | |
| instance_prompt: BENJIBOOK | |
| # Benji Style LoRA (v3, step 1250) | |
| Style LoRA for Qwen-Image. Trigger word: BENJIBOOK. |