Instructions to use Seanwang1221/LiYitong_FLUX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Seanwang1221/LiYitong_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/LiYitong_FLUX") prompt = "LYT,Nikon Z7 II and a NIKKOR Z 50mm f,, beautiful woman Illuminated by the ethereal glow of studio lightning, the light is reflecting shadows on the womans face, the light reflection sparcles around her, the harmonic play of light and shadow underlines the natural beauty of the woman, standing, from below, leaning forward, front view, (wearing reij-cybrwrdrbst01, cyberbodysuit, neon pink details, neon purple detailed, cyborg body details, choker),, (purple detailed background), selfie" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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