Instructions to use MomlessTomato/marin-kitagawa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MomlessTomato/marin-kitagawa 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/marin-kitagawa") prompt = "exkitmar, sono bisque doll wa koi wo suru, blonde hair, red eyes, school uniform, masterpiece, best quality, cel shading, cinematic lighting, 1girl, cowboy shot, dutch angle, v, looking at viewer, naughty smile, teeth, indoors, classroom," image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Ctrl+K