Instructions to use tommycik/controlFlux with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tommycik/controlFlux with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("tommycik/controlFlux") pipe = StableDiffusionControlNetPipeline.from_pretrained( "black-forest-labs/FLUX.1-dev", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-2/optimizer.bin from tommycik/controlFlux: direct link, hf CLI and curl.
- Browser
- Download file 3.47 GB
-
https://huggingface.co/tommycik/controlFlux/resolve/main/checkpoint-2/optimizer.bin
- Command line
-
hf download hf://tommycik/controlFlux/checkpoint-2/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/tommycik/controlFlux/resolve/main/checkpoint-2/optimizer.bin
3.47 GB
- Xet hash:
- b253db01533f9f68367ab4fa2511b2b8f60fd131ff6d8ca0e1569d43e43d42bb
- Size of remote file:
- 3.47 GB
- SHA256:
- 2b191e29058e7377a3a1d7d2eaf9a781663aaa1ee757ff67a1b6d88bacb9b261
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