Instructions to use svjack/ControlNet-Face-Zh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use svjack/ControlNet-Face-Zh with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("svjack/ControlNet-Face-Zh", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
File size: 135 Bytes
915e7e4 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:4add0fc04a14f24944649d72286a47846fa723250f91b4fd60b755400adfea1c
size 1445253593
|