Instructions to use Keltezaa/mckenna-grace with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Keltezaa/mckenna-grace with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Keltezaa/mckenna-grace") prompt = "Influencer-style portrait of sks woman in the 2010s-2020s, athleisure or eclectic fashion, vibrant filters, beach waves or top knots, by influencers-turned-photographers, using smartphone cameras and ring lights for a selfie-centric appeal, " image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!