Instructions to use Keltezaa/elle-fanning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Keltezaa/elle-fanning 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("Keltezaa/elle-fanning") prompt = "{ \"T5\": \"A soft, warm, and nostalgic photograph of Elle Fanning, captured on Kodak Portra400 film, showcasing her gentle and innocent smile as she poses in front of a vibrant graffiti of an eggplant, set against a worn, urban concrete wall with subtle cracks and faded colors. Her skin glows with a radiant, peach-like complexion, complemented by her golden locks, which cascade down her shoulders like a sun-kissed waterfall. Her eyes sparkle with a playful glint, and her relaxed, effortless pose exudes a sense of carefree youthfulness.\", \"CLIP\": \"Kodak Portra400, Elle Fanning, graffiti eggplant, urban concrete wall, warm color palette, soft focus, peach skin tone, golden hair, relaxed pose, playful expression, youthful vibe\" }" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Ctrl+K