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:
- c5b01d5cc257107fa484fbc8b7248513754b2975ad116318fbe3d414ab47841e
- Size of remote file:
- 1.34 GB
- SHA256:
- e6687482ed462f643236362bed77f8c15720a071bf4315bcb4c912992f3e3f75
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