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 Settings
- Draw Things
- DiffusionBee
Upload eyebrows_9B.safetensors
Browse files- eyebrows_9B.safetensors +3 -0
eyebrows_9B.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:6463c30aa78951ce74620b4496d1ccecdf05778aa0a00faa448dbaa25a12fcc5
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size 41447656
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