Instructions to use radames/stable-diffusion-2-depth-img2img with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use radames/stable-diffusion-2-depth-img2img 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("radames/stable-diffusion-2-depth-img2img", 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:
- f5289bdbdc52ca3c26cc4cba9fef328ee90b4117c156218336be913b0d8470e4
- Size of remote file:
- 5.71 GB
- SHA256:
- 59cb052d4409654936139693b57e4632d119bdd38df9a3cdf30d4a63799a4853
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