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
- Draw Things
- DiffusionBee
- Xet hash:
- 2c92a355272a1abfe52fb79c205dc832a122baf2e050b3b1355be06387de093a
- Size of remote file:
- 2.98 GB
- SHA256:
- 3983edb79c63dcc88cd05c4bc4b05f94e538a32a896ba619aee7db2f697ebac8
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