Instructions to use Seanwang1221/YuShuxin_FLUX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Seanwang1221/YuShuxin_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/YuShuxin_FLUX") prompt = "YSX, In a captivating, high-definition image, a stunning woman with cascading brown locks that fall to her mid-back, dressed in an impeccably tailored business casual ensemble of a crisp white blouse with intricate lace detailing and tailored charcoal trousers, stands alone against the backdrop of a modern, minimalist office space. The camera angles from slightly below, capturing her poised and confident demeanor as she gazes intently into the lens with piercing blue eyes that radiate determination. Soft, warm natural light filters in through floor-to-ceiling windows, casting a gentle glow on her flawless complexion while creating dramatic shadows that accentuate the subtle curves of her silhouette. The background details consist of sleek, contemporary furniture, polished glass surfaces, and artfully arranged potted plants, adding an air of sophistication to the scene. The overall emotional tone is one of ambition and self-assuredness, as the woman exudes a sense of power and resilience, embodying the spirit of a modern, successful businesswoman." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee