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
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Verified signature--- 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 trained on the art of *Benji and the Gate to Everywhere*. Trigger word: `BENJIBOOK`.1395052 -
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