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:
- a835934d97e4672a182864071746d7665978fdf363df0fa2ba43bab208995dea
- Size of remote file:
- 158 MB
- SHA256:
- e3db0d9cb3dd54c116a429a1de067d952780047944dd7dba8be032dd2e737f81
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