Instructions to use tylopez/arianapony with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tylopez/arianapony with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("LyliaEngine/Pony_Diffusion_V6_XL", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("tylopez/arianapony") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
aripony
.webp)
- Prompt
- -
Trigger words
You should use ohwx to trigger the image generation.
Download model
Download them in the Files & versions tab.
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Model tree for tylopez/arianapony
Base model
Bakanayatsu/Pony-Diffusion-V6-XL-for-Anime Adapter
LyliaEngine/Pony_Diffusion_V6_XL