Instructions to use Asahina2K/mypekomama with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Asahina2K/mypekomama with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("cagliostrolab/animagine-xl-3.1", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Asahina2K/mypekomama") prompt = "1girl, pekomama, long hair, smile, mature female, red eyes, bare shoulders, dress, detached sleeves, hair over shoulder, looking at viewer, outdoors, cowboy shot, dab \\(dance\\), (very aethetic, best quality, ultra detailed), intricate details, <lora:my_pekomama:0.7> " image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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