Instructions to use Seanwang1221/KaedeKaren_FLUX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Seanwang1221/KaedeKaren_FLUX 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("Seanwang1221/KaedeKaren_FLUX") prompt = "kaedekaren, In a captivating, high-contrast photograph, we find , a woman of striking beauty with cascading chestnut brown hair, posed thoughtfully against the backdrop of a vintage, ornate Parisian balcony at twilight. Her gaze is intense yet soft, as if lost in reflection. The camera angles low and slightly off-centered, capturing her face from the waist up. A single string of pearls adorns her elegant neck, and her lips are painted a bold, vibrant red, drawing focus to her full, expressive mouth. Her earrings, sparkling diamonds that shimmer in the fading light, add an air of luxury. The shadows cast by the setting sun lend an ethereal quality to the image, while the intricate details of the balcony railing and the Eiffel Tower in the distance serve as a reminder of the city's romantic charm. The overall emotional tone is one of quiet contemplation and enchantment, capturing AR13LK's timeless allure and Parisian elegance." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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