Instructions to use onkarsus13/controlnet_stablediffusion_scenetextEraser with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use onkarsus13/controlnet_stablediffusion_scenetextEraser 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/controlnet_stablediffusion_scenetextEraser", 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:
- 3f84b35140abda01eb1c0b050d5c59a5a8cfa325a7295bf2e5f4706055235ca0
- Size of remote file:
- 681 MB
- SHA256:
- 5b24ab11fd882991a13b7b80297ce0e78f299dd4ca31319e1b36e41126d26d55
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