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
File size: 1,068 Bytes
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tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- text: '-'
output:
url: images/pixai-1744660703577423344.png
base_model: Niggendar/prefectPonyXL_v2CleanedStyle
instance_prompt: >-
Konami, brown hair, medium hair, shoulder length hair, red hair bobbles,
yellow hair ribbons, pink eyes, huge breasts
---
# konami
<Gallery />
## 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](/Shero448/konami/tree/main) them in the Files & versions tab.
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