Instructions to use Jonjew/KariByron with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jonjew/KariByron 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/KariByron") prompt = "This professional studio photo shoot captures a striking young woman <lora:Karibyronflux1a-000001:1> fair skin and shoulder-length, wavy, strawberry blonde hair. She is standing against a plain blue background, allowing her vibrant features and carefully chosen outfit to take center stage. She is dressed in a cream-colored, long-sleeved ribbed top that clings elegantly to her frame, highlighting her toned arms and creating a sleek, fitted look. The texture of the ribbed fabric adds depth to the top, making it a subtle yet striking piece. The top is neatly tucked into fitted high-waisted, dark blue jeans that elongate her silhouette, offering a flattering and balance between the fitted upper half of her outfit and the fitted fit of the jeans. " image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Ctrl+K