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:
- 3a5b1b90a5d33ede41274b4cae40bfbb15b7335f1cd3569c3a51aab7768dcda8
- Size of remote file:
- 209 MB
- SHA256:
- 25a948c16078b0f08e236bda51a385d855ef4c153598947c28c0d47ed94bb746
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