Instructions to use NO8D/LightControl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use NO8D/LightControl 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/LightControl") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- ac92a7813f0648cc22dfb9e390289a6c7f0253ff86822ce8493f53ed9c980916
- Size of remote file:
- 41.4 MB
- SHA256:
- 3341b3b93b79986a8fa056bc9940ab075a951f8622d625ad8549ca54cf8759ec
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