Instructions to use Shero448/aki2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Shero448/aki2 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/prefect-pony-xl-v2-cleaned-style-sdxl", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Shero448/aki2") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Download README.md from Shero448/aki2: direct link, hf CLI and curl.
- Browser
- Download file 480 Bytes
-
https://huggingface.co/Shero448/aki2/resolve/main/README.md
- Command line
-
hf download hf://Shero448/aki2/README.md
-
curl -L -o README.md https://huggingface.co/Shero448/aki2/resolve/main/README.md
480 Bytes
metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- text: '-'
output:
url: images/pixelcut-export-22.png
base_model: John6666/prefect-pony-xl-v2-cleaned-style-sdxl
instance_prompt: aki
aki2

- Prompt
- -
Trigger words
You should use aki to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.