Image-to-Image
Diffusers
Safetensors
stable-diffusion
stable-diffusion-diffusers
controlnet
jax-diffusers-event
Instructions to use MakiPan/controlnet-encoded-hands-130k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MakiPan/controlnet-encoded-hands-130k with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("MakiPan/controlnet-encoded-hands-130k") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bb801a8315a9a655ddd3d012878de3f01229fe17cb78dc4e4e06ca3fdd589254
- Size of remote file:
- 1.45 GB
- SHA256:
- 887f72b01d4037b4e80e23a072878619635a28061d40f7119ac9051cc519a62e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.