Instructions to use nguoidoncui/Controlnet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nguoidoncui/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("nguoidoncui/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:
- dda5fdbcc6757a46d47b244ad555aef5b77e34df58e35f4b7a3ba41b479a2a70
- Size of remote file:
- 5.71 GB
- SHA256:
- 726cd0b472c4b5c0341b01afcb7fdc4a7b4ab7c37fe797fd394c9805cbef60bf
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