Instructions to use Jonjew/FoxGirl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jonjew/FoxGirl 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/FoxGirl") prompt = "A kitsune woman, fox ears, fox tail, anime, female, short hair, black and blue hair, red highlights, bold makeup, red lips, piercing gaze, close-up portrait, detailed accessories, choker necklace, layered necklaces, earrings, gothic fashion, dramatic lighting, dark background, expressive eyes, soft skin, emotional expression, beautiful face, stylish, glamorous, vivid colorsBlonde woman with long wavy hair, sitting in a lush forest, soft golden sunlight filtering through trees, wearing a flowing white robe with intricate black embroidery, eyes closed in serenity, peaceful expression, seated on grass with dappled sunlight, tall trees surrounding her, gentle breeze slightly rustling her hair, early morning or late afternoon light, tranquil and mystical atmosphere, slightly out-of-focus background enhancing subject focus, warm color palette, soft shadows and highlights creating depth. <lora:Kitsune_v51:1>" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Ctrl+K