Instructions to use Jonjew/EvaLongoria with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jonjew/EvaLongoria with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Jonjew/EvaLongoria") prompt = "<lora:3val0ng0ria:1.1> evalongoria,A half Body Photo of a beautiful brunette messy beehive hair style, natural skin complexion, slim with curves, tartan shirt, outdoor background, soft lighting, captured by {randomly selected} photographer. This image looks glamorous and elegant in style and outdoor background that was recognized as a contest winner. It has been featured on CG Society. Cinematic, HDR, 8k, ISO100, F1/16, Shutter Speed 1/1000," image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!