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", torch_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:
- e4fd98d3ac13f24b31f541e8d0b5ccc4f760a29a7d2a959a24a5f57a23b30c05
- Size of remote file:
- 573 kB
- SHA256:
- 97ffff6c60bef06c4a9c0d124c456a1228c32dc8fb9bd1fa8cda7585776df28f
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