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:
- 905bc74353466a794cbddd634089ea427d064042acf7cd76df02760d5819ef07
- Size of remote file:
- 1.36 GB
- SHA256:
- c3e254d7b61353497ea0be2c4013df4ea8f739ee88cffa0ba58cd085459ed565
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