Instructions to use MomlessTomato/ren-hazuki with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MomlessTomato/ren-hazuki with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Laxhar/noobai-XL-Vpred-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("MomlessTomato/ren-hazuki") prompt = "lihazure, love live! superstar!!, masterpiece, best quality, cel shading, cinematic lighting, 1girl, cowboy shot, straight posture, tank top, midriff, navel, ponytail, casual outfit, looking at viewer, neutral expression, closed mouth, focused, outdoor, urban background, soft lighting, depth of field medium breasts, thick thighs, sexy body" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Ctrl+K