Instructions to use NO8D/FaceControl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use NO8D/FaceControl 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.2-klein-9B", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("NO8D/FaceControl") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
face control

- Prompt
- -
Model description
This series is a collection of slider-LORAs that control the facial features of characters, aiming to help you create unique virtual characters. If you like it, please like, follow, and share to let me know you like it. If you think this series is helpful to you and want to support independent development, please consider buying me a cup of coffee to keep this motivation going! Thank you very much.
head: Control the head size by adjusting weights.
face shape
hair length
nose
ear
lips
eyes
eyebrows
eyelas
Continuously updating
I'm an independent model and workflow developer. If you like my work and want to support independent development, please consider buying me a cup of coffee to keep this motivation going! Thank you very much.
patreon 🫡 May the AI-power be with you, see you soon !🫡
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Model tree for NO8D/FaceControl
Base model
black-forest-labs/FLUX.2-klein-9B







