Instructions to use Shero448/kazami with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Shero448/kazami with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Niggendar/prefectPonyXL_v10", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Shero448/kazami") prompt = "kazami torino, huge breasts, plump, mature female brown hair, updo, lipstick, tareme, brown eyes, (((full body))), (((huge breasts))), (((gigantic breasts))), (((wide hips))), (((thick thighs))), (((wide legs))), (((voluptuous body))), (((wide thighs))), (((thick legs))), shiny skin, embarrassed face, blush, bedroom background, collarbone, indoor, (((naked girl))), (((completely naked))), (detailed pussy:1.1), (detailed nipples:1.1), <lora:46cc0bf1-be9b-43fc-b487-6c6bea0fb440:0.9>" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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