Instructions to use SedatAl/flux-portrait-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SedatAl/flux-portrait-lora 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("SedatAl/flux-portrait-lora") prompt = "portrait of a turkish man in traditional clothes" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
flux-lora

- Prompt
- portrait of a turkish man in traditional clothes

- Prompt
- portrait of a peruvian man in a serene lakeside

- Prompt
- portrait of a turkish woman in traditional clothes in an office
Trigger words
You should use portrait to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for SedatAl/flux-portrait-lora
Base model
black-forest-labs/FLUX.1-dev