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:
- 2a3e8c3a4c8a4ec0f01bf5a1b02ce171a5d9a368fdcb93fcf8399a744196d6d5
- Size of remote file:
- 1.45 GB
- SHA256:
- 22dab177f4c4566ac1c8f68dc2c429b023114e15a644e8c7c0e8f956afe92acf
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