Image-to-Image
Diffusers
Safetensors
StableDiffusionControlNetPipeline
stable-diffusion
stable-diffusion-diffusers
controlnet
jax-diffusers-event
Instructions to use vllab/controlnet-encoded-hands-130k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use vllab/controlnet-encoded-hands-130k with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("vllab/controlnet-encoded-hands-130k") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
Download vae/diffusion_pytorch_model.bin from vllab/controlnet-encoded-hands-130k: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/vllab/controlnet-encoded-hands-130k/resolve/main/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://vllab/controlnet-encoded-hands-130k/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/vllab/controlnet-encoded-hands-130k/resolve/main/vae/diffusion_pytorch_model.bin
335 MB
- Xet hash:
- e2e70a6696fff1ef706cc1ad68ac9f21c1cdbb5b2d36311725a6f49a0fecce99
- Size of remote file:
- 335 MB
- SHA256:
- c02e0c7c263a4c0630ca3a72380ff55b9e38e0ab41d64dff7bf620a58342bc75
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