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", 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:
- 7af9f93d3294429c401c2ad8e092cfd62f476accf8ec3847a1aedb24175008c6
- Size of remote file:
- 41.4 MB
- SHA256:
- 7a7d6848fa3679b39156a0e28421b17d1649e8c4f6ae86aa039a13087a15ab5a
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