Instructions to use NO8D/BodyControl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use NO8D/BodyControl 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/BodyControl") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 1c1bbd63f422ba8387aed18a8f6fa5be431a88e5f20b20c5619ddb4effda3abf
- Size of remote file:
- 41.4 MB
- SHA256:
- d3df69364edb8e9d021b2f81507875a8c28f68e0680b4925f5411abb3fbc0386
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