Instructions to use Shero448/samui2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Shero448/samui2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("John6666/mocase-mix-prefectponyv2-sdxl", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Shero448/samui2") prompt = "<lora:Samui_(naruto):1>, solo, 1girl, samui_(naruto), kunoichi garbs, arms crossed, frown, blush, looking at viewer, clouds, blurry background, score_9, score_8_up, score_7_up, source_anime," image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
samui2

- Prompt
- <lora:Samui_(naruto):1>, solo, 1girl, samui_(naruto), kunoichi garbs, arms crossed, frown, blush, looking at viewer, clouds, blurry background, score_9, score_8_up, score_7_up, source_anime,
Trigger words
You should use samui to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for Shero448/samui2
Base model
John6666/mocase-mix-prefectponyv2-sdxl