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
- Xet hash:
- 6d1f8caeccf845d385015779a1a602b3369d4c88ad5652234481c924fa9baef1
- Size of remote file:
- 153 MB
- SHA256:
- 1ad3d7d9dd3c62296bb24e67f316a55db3357b01ab2df81870a645941b5e1dec
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