Instructions to use Shero448/samui4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Shero448/samui4 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/samui4") prompt = "score_9, score_8_up, score_7_up, game cg," image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
File size: 588 Bytes
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tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- text: score_9, score_8_up, score_7_up, game cg,
parameters:
negative_prompt: score_6, score_5, score_4, monochrome, blurry,
output:
url: images/763543.png
base_model: John6666/mocase-mix-prefectponyv2-sdxl
instance_prompt: samui
---
# samui4
<Gallery />
## Trigger words
You should use `samui` to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
[Download](/Shero448/samui4/tree/main) them in the Files & versions tab.
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