Instructions to use MomlessTomato/chisato-arashi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MomlessTomato/chisato-arashi 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/chisato-arashi") prompt = "masterpiece, best quality, cel shading, cinematic lighting, 1girl, standing, slight forward lean, hands on hips, cowboy shot, training outfit, sportswear, track jacket, track pants, looking at viewer, confident smile, energetic expression, outdoor track field, daytime, school campus background small breasts, thick thighs, sexy body" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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