Instructions to use Seanwang1221/Wangluodan_FLUX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Seanwang1221/Wangluodan_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/Wangluodan_FLUX") prompt = "WLD, In a gritty, noir-inspired scene set against the backdrop of a dimly lit, rain-soaked neon-lit street in 1940s New York City, a mysterious woman with cascading chestnut locks adorned with antique pearl earrings and a striking silver pendant necklace, stands tall with her back against the brick wall of an abandoned building. Her parted lips are slightly pursed as she gazes directly at the viewer with piercing emerald eyes, her teeth glinting in the intermittent neon glow reflecting off the wet pavement beneath her. The camera is positioned low and angled upwards, capturing a close-up of her enigmatic expression and the intricate details of her vintage fur coat and trench dress, creating an intense emotional tone of allure and danger that hints at secrets yet to be revealed." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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