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
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]samui4

- Prompt
- score_9, score_8_up, score_7_up, game cg,
- Negative Prompt
- score_6, score_5, score_4, monochrome, blurry,
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/samui4
Base model
John6666/mocase-mix-prefectponyv2-sdxl