Instructions to use tommycik/ControlNetHedFinal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tommycik/ControlNetHedFinal with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("tommycik/ControlNetHedFinal") pipe = StableDiffusionControlNetPipeline.from_pretrained( "black-forest-labs/FLUX.1-dev", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- d432b866729d9bcdb72a9b20afdd00184ee791323f18d186f996486395b60239
- Size of remote file:
- 1.34 GB
- SHA256:
- a9f513e04ca8ca0a2de0fd1b4195df40743fa6b07032777dbe06e6e487b46110
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