Instructions to use NaClO74/MIH_Entrance_Template with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use NaClO74/MIH_Entrance_Template with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("NaClO74/MIH_Entrance_Template") prompt = "masterpiece, best quality, ultra detailed, anime style, 1girl, young, cute, (oily skin), (shiny skin), (skinny), (thin legs), bun hair, medium hair, silver pink hair, hair ornaments, red eyes, halo, big round breasts, huge breasts, orange kimono, printed kimono, colorful, bare shoulders, low cut, angel wings, japanese garden, outdoor, golden sanctuary, torii gate, top view, warm, beautiful face, happy, open mouth, :D" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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