Instructions to use pseudotools/controlnet-diffusion-pytorch-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use pseudotools/controlnet-diffusion-pytorch-model with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("pseudotools/controlnet-diffusion-pytorch-model") pipe = StableDiffusionControlNetPipeline.from_pretrained( "fill-in-base-model", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
Rename controlnet/diffusion_pytorch_model.safetensors to diffusion_pytorch_model.safetensors
9c53add verified - Xet hash:
- 6e554eb82332833eeb5e6d083a40c2e71a539acae636225f9e165ec2c1b27a2a
- Size of remote file:
- 2.5 GB
- SHA256:
- c8127be9f174101ebdafee9964d856b49b634435cf6daa396d3f593cf0bbbb05
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