Instructions to use carsonkatri/stable-diffusion-2-depth-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use carsonkatri/stable-diffusion-2-depth-diffusers 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("carsonkatri/stable-diffusion-2-depth-diffusers", 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:
- 2afce859fd299529f0c3e5488c9b75a5523624ac4c9a7d145e5cb23d5b8033d9
- Size of remote file:
- 3.46 GB
- SHA256:
- c4b08b5d250b47fb3fadb567c0099611325d704ea232bbcb9505062542453758
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