Instructions to use tommycik/ControlNetHedNew with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tommycik/ControlNetHedNew with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("tommycik/ControlNetHedNew") pipe = StableDiffusionControlNetPipeline.from_pretrained( "black-forest-labs/FLUX.1-dev", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 18365ae77b808d0640606e58cf790b826f0cf1fc56778c3b08b900733a50da54
- Size of remote file:
- 2.98 GB
- SHA256:
- 1aa821dff67845006c9b182ddc8603f9e2f790cd1c95f61851e77af89379333e
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