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
File size: 215 Bytes
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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. |