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 ComfyUI_03694_.png from NO8D/FaceControl: direct link, hf CLI and curl.
- Browser
- Download file 1.55 MB
-
https://huggingface.co/NO8D/FaceControl/resolve/main/ComfyUI_03694_.png
- Command line
-
hf download hf://NO8D/FaceControl/ComfyUI_03694_.png
-
curl -L -o ComfyUI_03694_.png https://huggingface.co/NO8D/FaceControl/resolve/main/ComfyUI_03694_.png
1.55 MB

- Xet hash:
- 41b950b313e80b0734d91dfe582924137d4f9c4eeb73e16d5a72f4f37d8b39be
- Size of remote file:
- 1.55 MB
- SHA256:
- 836ee4be77cef7188b0204bd231b4bcaff03ce94138da1bb715a23ab2a55bf61
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