Instructions to use NO8D/ExpressionControl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use NO8D/ExpressionControl 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/ExpressionControl") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 95346639a30a80bc7e1add799b90e6e7cab7bddcd3e619792419322fd03690e6
- Size of remote file:
- 41.4 MB
- SHA256:
- 49556840f33ef2d056b9b1a6d4f1940d20e1245522f7ac9dfb06905fcb52164a
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