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] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download Eye_9B.safetensors from NO8D/FaceControl: direct link, hf CLI and curl.
- Browser
- Download file 41.4 MB
-
https://huggingface.co/NO8D/FaceControl/resolve/main/Eye_9B.safetensors
- Command line
-
hf download hf://NO8D/FaceControl/Eye_9B.safetensors
-
curl -L -o Eye_9B.safetensors https://huggingface.co/NO8D/FaceControl/resolve/main/Eye_9B.safetensors
41.4 MB
- Xet hash:
- 547fea9ff655578853f40e8642154c2bede194430687dcf97815d6ddbc62a8a8
- Size of remote file:
- 41.4 MB
- SHA256:
- e616b22366cedf74680153ca3f962f6addc3f8c279cd2a0cf6cb115a736343d0
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