Instructions to use Seanwang1221/XingZhilei_FLUX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Seanwang1221/XingZhilei_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/XingZhilei_FLUX") prompt = "XZL, In a gritty, noir-inspired setting, a striking woman named XZL, with her voluminous, deep brown hair cascading down her shoulders like a waterfall of rich chocolate, sits in the dimly lit corner booth of an old jazz club. Her intense gaze, framed by thick, dark eyebrows and deeply expressive brown eyes, locks onto the viewer tilted at a rakish angle. Her lips, painted a bold, crimson red, curve into a confident smirk as she clutches a glass of amber-colored whiskey between her slender fingers, adorned with an array of antique jewelry that sparkles in the low, sultry lighting. The camera captures this intimate moment from a low angle, highlighting her elegant neck and collarbone, while the soft focus background reveals a smoky haze, the distant notes of a saxophone echoing through the room, evoking an air of mystery and allure." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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