Instructions to use einar77/noob-openpose with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use einar77/noob-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("einar77/noob-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
Create README.md
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README.md
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## Minimal mirror of Laxhar/noob_openpose
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The only purpose of this repo is to provide the model alongside a `config.json` to allow loading of this ControlNet model by Diffusers. Once the upstream repository implements this, this mirror will be removed.
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