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:
- 7247017e0daf75b08faaced7daed32d5e4fe0fc593a303f810cb66ef2c4fd512
- Size of remote file:
- 1.49 GB
- SHA256:
- c6945d82b543700cc3ccbb98d363b837e9c596281607857c74b713a876daf5fb
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