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
controlnet- MakiPan/controlnet-encoded-hands-20230504_125403
These are controlnet weights trained on runwayml/stable-diffusion-v1-5 with new type of conditioning. You can find some example images in the following.
prompt: a man in a colorful shirt giving a peace sign in front of a rallying crowd
prompt: a police officer signaling someone to stop in a park

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Model tree for MakiPan/controlnet-encoded-hands-130k
Base model
runwayml/stable-diffusion-v1-5