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
openpsoe controlnet question
#2
by TIanqy - opened
How many datas did you use and how many epochs did you train? Why does my trained model not work even if the strength is increased to 0.8? Can you give me some training strategies?
i trained pose controlnet with 50000 images,but after trained 2epoch, when inference, even i set strength to 1,The image does not have any guided effect.Anyone can help me?
i trained pose controlnet with 50000 images,but after trained 2epoch, when inference, even i set strength to 1,The image does not have any guided effect.Anyone can help me?
hi, have you solved the problem?