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
File size: 925 Bytes
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tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- text: >-
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
parameters:
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,
output:
url: images/00001-4092558564.png
base_model: John6666/mocase-mix-prefectponyv2-sdxl
instance_prompt: samui3
---
# samui3
<Gallery />
## Trigger words
You should use `samui3` to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
[Download](/Shero448/samui3/tree/main) them in the Files & versions tab.
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