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:
- 634f5692fd582f0591249a5b6e7fb58a26ecb55c6a78dc46f499d8f3198a7f74
- Size of remote file:
- 1.34 GB
- SHA256:
- fa5a370bcc20d78c8d87948a20f23843aa6717eda68921cfefdd679a4ab50e34
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