Instructions to use Shero448/LMB_style_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Shero448/LMB_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("dhead/wai-nsfw-illustrious-sdxl-v140-sdxl", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Shero448/LMB_style_lora") prompt = "(masterpiece, best quality:1.2), amazing quality, very aesthetic, 32k, absurdres, extremely beautiful, newest, scenery, extra details, (sharp detailed:1.2), " image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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LMB_style.safetensors
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version https://git-lfs.github.com/spec/v1
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images/_2025-01-10-205619_00000_.png
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Git LFS Details
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