Instructions to use Jonjew/BrigitteNielsen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jonjew/BrigitteNielsen with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Jonjew/BrigitteNielsen") prompt = "professional photography, 30yo woman with blonde short hair posing for a picture, intricate details, simple background, depth of field <lora:Brigitte Nielsen_Flux_Rapid:1.05>, detailed skin texture, (blush:0.2), (goosebumps:0.3), subsurface scattering" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Browse files- Brigitte_Nielsen-000001.safetensors +3 -0
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version https://git-lfs.github.com/spec/v1
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