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:
- e072a5afd25e6076ccf913edfe3283995d5703a54627249f88dfe8217af4df5b
- Size of remote file:
- 5 GB
- SHA256:
- 5a4b928cb1e93748217900cb66d4135bf70d932d2924232f925910fad9e43a92
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