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
- Draw Things
- DiffusionBee
Can you upload the FP16 version, or upload the config. json
#1
by demo001s - opened
Can you upload the FP16 version, or upload the config. json
hi, i do not have the fp16 yet. will try to convert it
How use it in comfyUI? Xlabs nodes not working with it...
does it give an error? or just produces noisy output?
It`s looks like i used canny or HED, not pose model. The preprocessor builds a pose map, but as a result, with the controlnet strength 0.6, the silhouette of the pose map is clearly visible on the art
uploading the config.json would be nice
this model was generated using the xlabs ai script, so it was not compatible with diffusers. and no config.json was generated.
will try to convert it, since diffusers implemented it in the meanwhile.