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
Download tokenizer/merges.txt from carsonkatri/stable-diffusion-2-depth-diffusers: direct link, hf CLI and curl.
- Browser
- Download file 525 kB
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https://huggingface.co/carsonkatri/stable-diffusion-2-depth-diffusers/resolve/refs%2Fpr%2F3/tokenizer/merges.txt
- Command line
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hf download hf://carsonkatri/stable-diffusion-2-depth-diffusers@refs/pr/3/tokenizer/merges.txt
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curl -L -o merges.txt https://huggingface.co/carsonkatri/stable-diffusion-2-depth-diffusers/resolve/refs%2Fpr%2F3/tokenizer/merges.txt
525 kB
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