Instructions to use ghoskno/Color-Canny-Controlnet-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ghoskno/Color-Canny-Controlnet-model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ghoskno/Color-Canny-Controlnet-model", dtype=torch.bfloat16, device_map="cuda") prompt = "Turn this cat into a dog" input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png") image = pipe(image=input_image, prompt=prompt).images[0] - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 523ec0d608f8ba652ce4a5d5f285bd7a3b2043f3cad5df002b7eacc60e4fc41b
- Size of remote file:
- 1.1 MB
- SHA256:
- 0678814f34090077eedf0cef10c36b894f8434686b5b5a3e705fc9cbcd316f38
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