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:
- 3cda06b1fa21393d77287ef13087314404ff1db11d22383cee5a6984fa208802
- Size of remote file:
- 1.45 GB
- SHA256:
- a8d77429b111b25ffad4adb4c686a19c73c905d638dd8acb1e0b1d1da300192c
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