Instructions to use Jonjew/KathrynMorris2005 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jonjew/KathrynMorris2005 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/KathrynMorris2005") prompt = "A poised young woman stands confidently against an urban backdrop, characterized by soft natural lighting from a clear day. Her expressive features are highlighted, displaying subtle emotions that evoke curiosity. The subject's short, stylish blonde hair frames her face, contrasting with her dark coat and a light blue shirt, adding depth to her look. The setting features a prominent fountain in the background, its splashing water reflecting sunlight, creating a serene yet dynamic atmosphere. The composition captures a candid moment, drawing the viewerâs attention to her thoughtful gaze and relaxed posture. The overall mood is inviting and engaging, merging urban sophistication with casual elegance, suitable for a contemporary portrait. <lora:kathrynmorrisvdw:1>" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!