Instructions to use hirol/control_any5_openpose with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hirol/control_any5_openpose with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("hirol/control_any5_openpose", 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
- Xet hash:
- 9c6790746d82817feb1942db4961e0972ccb4e927926b60a9b75910efb7eb57d
- Size of remote file:
- 1.45 GB
- SHA256:
- 919311674331a8fc1186c9f896cfbf40171fe59d1b4e9458be0bee002b523fb1
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