Instructions to use onkarsus13/DiT-controlnet-Citi-Seg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use onkarsus13/DiT-controlnet-Citi-Seg 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("onkarsus13/DiT-controlnet-Citi-Seg", 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:
- 65f4e3b3d78a866daa337638fcb6f113baaa6ec09bd799499a1f3900412c1246
- Size of remote file:
- 681 MB
- SHA256:
- 3d1116cef12c6da2aa5b1e2269d2bcf839cd493b3c9cc68941b69690af5630c1
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