Instructions to use hafsa000/interior-design with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hafsa000/interior-design 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("hafsa000/interior-design", 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:
- 99f73b0e9b8a439632a4f467d60c7e734bc7c207f3bcb79ada3f9f63b726e20a
- Size of remote file:
- 335 MB
- SHA256:
- 86b6858faa86bd1fa0e578f7da3d33221702f175e20a208640a646c315cb2b07
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