Instructions to use ghoskno/Fake-QRcode with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ghoskno/Fake-QRcode 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/Fake-QRcode", 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:
- 9952e7fc7ab5132fa6e108c67715b35bb09fe4dc0fb489c4e4caaee39288c0f3
- Size of remote file:
- 1.45 GB
- SHA256:
- 441675ccbc99bee52a65198e7da5bb99661d3367f5bb66a173aa09961b3846fa
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