Instructions to use tommycik/ControlnetHedImproved with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tommycik/ControlnetHedImproved with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("tommycik/ControlnetHedImproved") pipe = StableDiffusionControlNetPipeline.from_pretrained( "black-forest-labs/FLUX.1-dev", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-250/optimizer.bin from tommycik/ControlnetHedImproved: direct link, hf CLI and curl.
- Browser
- Download file 1.34 GB
-
https://huggingface.co/tommycik/ControlnetHedImproved/resolve/main/checkpoint-250/optimizer.bin
- Command line
-
hf download hf://tommycik/ControlnetHedImproved/checkpoint-250/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/tommycik/ControlnetHedImproved/resolve/main/checkpoint-250/optimizer.bin
1.34 GB
- Xet hash:
- 09fcd39b2ecbe4ed40c7f567269de39538945072e163fa21f770a40bab8dccb1
- Size of remote file:
- 1.34 GB
- SHA256:
- 90971c4cff32888f4cfb9ca0e26f5b236a71c22a77c62ca554a426b5de66e9c8
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