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:
- e91b4a1692d8a160450f3a8ad84cc5ee58fab40ea13877e748f7885026dd3612
- Size of remote file:
- 5.71 GB
- SHA256:
- 4de384b16bc2d7a1fb258ca0cbd941d7dd0a721ae996aff89f905299d6923f45
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