Instructions to use DazMashaly/ctrlNet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use DazMashaly/ctrlNet with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("DazMashaly/ctrlNet", 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:
- 0cfc32d269aab046a3e999607da08cc8cb127bf4e0aa5c7c0b78892d53506f90
- Size of remote file:
- 563 Bytes
- SHA256:
- ab20ead000e6ae60e9a32d69fb1fb976d10dba2a065da680293a8202053a1975
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