Instructions to use Shero448/konami with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Shero448/konami with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Niggendar/prefectPonyXL_v2CleanedStyle", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Shero448/konami") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("Niggendar/prefectPonyXL_v2CleanedStyle", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("Shero448/konami")
prompt = "-"
image = pipe(prompt).images[0]konami

- Prompt
- -
Trigger words
You should use Konami to trigger the image generation.
You should use brown hair to trigger the image generation.
You should use medium hair to trigger the image generation.
You should use shoulder length hair to trigger the image generation.
You should use red hair bobbles to trigger the image generation.
You should use yellow hair ribbons to trigger the image generation.
You should use pink eyes to trigger the image generation.
You should use huge breasts 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/konami
Base model
Niggendar/prefectPonyXL_v2CleanedStyle