Instructions to use Hugs288/minlonastyle with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Hugs288/minlonastyle 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("Hugs288/minlonastyle") prompt = "1girl, arona \\(blue archive\\), blue archive, min lona, long sleeves, school uniform, blush, white choker, white neckerchief, two-tone hair, white sailor collar, sailor collar, colored inner hair, open mouth, blue hair, bow, white bow, upper body, halo, shirt, multicolored hair, choker, solo, neckerchief, braid, single braid, white background, blue shirt, looking at viewer, light blue hair, blue serafuku, side braid, simple background, short hair, bow hairband, serafuku, hairband, pink hair, blue eyes, white hairband, masterpiece, best quality, newest, absurdres, highres <lora:minlonavpred:1>" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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