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:
- 9a5d18e09a1ddb57fd7a3b4769f4f418868e0d7bc9adf502a5ff60253d004e6d
- Size of remote file:
- 6.6 GB
- SHA256:
- 2cd23f9da9f2f24d75ded22c0c2596782312aa0b88e05076b4b8621a0b1fa9d1
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