Image-to-Image
Diffusers
Safetensors
diffusion
virtual try-on
virtual try-off
image generation
fashion
e-commerce
Instructions to use ixarchakos/tryOffAnyone with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ixarchakos/tryOffAnyone 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("ixarchakos/tryOffAnyone", 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:
- aa7282e6b8d8ee450ad6693c373f994594233ee7443db270bff6de8b2de3ef41
- Size of remote file:
- 12.7 MB
- SHA256:
- c770971911c93533bc05882e619de824742fd113255452d24e8232bb937b8ac6
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