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:
- c1295b5119f0b40c786da908c46d54ed8ecb774b89e4007929db951bcc173db5
- Size of remote file:
- 1.46 GB
- SHA256:
- 8be0472b05ff758b75085e6a96ee816c7bbfa53f2e01f0459fea45e245716ba3
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