Instructions to use javaabu/libaas-F1D with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use javaabu/libaas-F1D 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("javaabu/libaas-F1D") prompt = "Raw photo, hyper realistic shot portrait of dhivehi libaas, woman in a green libaas with a black hijab, wearing a gold necklace, in a dense forest. Action pose, cinematic, 8K, UHD, bokeh background" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add generated example
#1
by Annukh - opened
Generated example for model javaabu/libaas-F1D.
Prompt: Raw photo, hyper realistic shot portrait of dhivehi libaas, woman in a green libaas with a black hijab, wearing a gold necklace, in a dense forest. Action pose, cinematic, 8K, UHD, bokeh background
Annukh changed pull request status to merged