Instructions to use Jonjew/BrookeBurke with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jonjew/BrookeBurke 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/BrookeBurke") prompt = "A professional photograph of a young woman Brooke_Burke wearing a dark green cableknit sweater in a cafe, holding a latte, brunette hair, detailed skin, bokeh, female focus, SFW, smiling<lora:Brooke_Burke:1>" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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