Instructions to use f5aiteam/Controlnet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use f5aiteam/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("f5aiteam/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:
- 8df66e1e8a04d595a28fa1e753ce9014d7c10f1a1a0bc7ce6bf5e736e1a10ab1
- Size of remote file:
- 157 MB
- SHA256:
- 26d0d86a1d60d6cc811d3b8862178b461e1eeb651e6fe2b72ba17aa95411e313
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