Instructions to use Jonjew/JordynJonew with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jonjew/JordynJonew 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/JordynJonew") prompt = "A photo of Jordynnotreal, a blonde-haired, fair-skinned woman, posing seductively in a bright yellow scuba suit with long sleeves, standing in front of a misty waterfall, reminiscent of a David Lynch film, with a warm, golden light source positioned at a 45-degree angle to her left, casting a subtle shadow on her face, emphasizing her enigmatic expression, set against a lush, vibrant green background, with a fine film grain and a slight blue-green color grading, evoking a sense of mystery and allure." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Ctrl+K