Image-to-Image
Diffusers
Safetensors
stable-diffusion
stable-diffusion-diffusers
controlnet
jax-diffusers-event
Instructions to use JFoz/dog-cat-pose with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use JFoz/dog-cat-pose with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("JFoz/dog-cat-pose") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
Download diffusion_pytorch_model.bin from JFoz/dog-cat-pose: direct link, hf CLI and curl.
- Browser
- Download file 1.45 GB
-
https://huggingface.co/JFoz/dog-cat-pose/resolve/refs%2Fpr%2F2/diffusion_pytorch_model.bin
- Command line
-
hf download hf://JFoz/dog-cat-pose@refs/pr/2/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/JFoz/dog-cat-pose/resolve/refs%2Fpr%2F2/diffusion_pytorch_model.bin
1.45 GB
- Xet hash:
- 5ba8365489523fe3c19f8c15d1ca3fa725613cd479cc1239acaa6a7e2170e4f5
- Size of remote file:
- 1.45 GB
- SHA256:
- 8434a7c24ebf4d499d3a336703a7583664e5f34b4a4aeef0edbd2a05b07f1e27
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