Instructions to use f5aiteam/Controlnet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use f5aiteam/Controlnet with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("f5aiteam/Controlnet", 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:
- 27817cf7a94fb093e53195b31a656d3c3c4aaac3ce57ceb01ca172a0da1e4b57
- Size of remote file:
- 316 MB
- SHA256:
- b601b28b7df0c0dcbbaf704ab8ba6fd22bcf35c9a875fa0c9bc933d47cc27438
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