Instructions to use Shero448/samui3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Shero448/samui3 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/samui3") prompt = "score_9, score_9_up, score_8_up, Expressiveh, raw, gorgeous, highly detailed, <lora:Samui-000005:1>, samui, blonde hair, bob_cut, large breasts, blue eyes, grey kimono, fishnet_top, forest, smiling" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
samui3

- Prompt
- score_9, score_9_up, score_8_up, Expressiveh, raw, gorgeous, highly detailed, <lora:Samui-000005:1>, samui, blonde hair, bob_cut, large breasts, blue eyes, grey kimono, fishnet_top, forest, smiling
- Negative Prompt
- score_6, score_5, score_4, worst quality, low quality, text, censored, deformed, bad hand, blurry, (watermark), multiple phones, weights, bunny ears, extra hands, transgender, 3d,
Trigger words
You should use samui3 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/samui3
Base model
John6666/mocase-mix-prefectponyv2-sdxl