Instructions to use XGGGV/lyfff with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use XGGGV/lyfff with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("krea/Krea-2-Turbo", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("XGGGV/lyfff") prompt = "candid photography, solo, 1girl, soft chuckle, leaning on railing, collared shirt, jeans, sunglasses, flower field" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
lyffff

- Prompt
- candid photography, solo, 1girl, soft chuckle, leaning on railing, collared shirt, jeans, sunglasses, flower field
##Model description
推荐使用Lora1.3以上
Trigger words
You should use liuyifei to trigger the image generation.
Download model
Download them in the Files & versions tab.
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