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:
- e89349db02fe610d73d15af9fb65a8558753980a5295b7cde8630ec3277a01c6
- Size of remote file:
- 5.71 GB
- SHA256:
- 4520b22400756ac96be61f900a59ab648ec487127beb7a095a708a4d3472b6eb
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