Instructions to use raulc0399/flux_dev_openpose_controlnet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use raulc0399/flux_dev_openpose_controlnet with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("raulc0399/flux_dev_openpose_controlnet") pipe = StableDiffusionControlNetPipeline.from_pretrained( "fill-in-base-model", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 2d054b4db3a3b9c0c0685bdbf8afa6906761e47950fd04192ec0a3b50901bb36
- Size of remote file:
- 118 kB
- SHA256:
- e12103bfff5dde9e3f7fcdbc45e916369caaaa2f4ceaac6703baf613c33e55bc
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