Depth Estimation
Diffusers
Safetensors
English
MarigoldDepthPipeline
depth estimation
image analysis
computer vision
in-the-wild
zero-shot
Instructions to use prs-eth/marigold-depth-v1-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use prs-eth/marigold-depth-v1-1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("prs-eth/marigold-depth-v1-1", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Download unet/diffusion_pytorch_model.safetensors from prs-eth/marigold-depth-v1-1: direct link, hf CLI and curl.
- Browser
- Download file 3.46 GB
-
https://huggingface.co/prs-eth/marigold-depth-v1-1/resolve/69afc5e7a400bb811e51a0c63d637b128be2ae55/unet/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://prs-eth/marigold-depth-v1-1@69afc5e7a400bb811e51a0c63d637b128be2ae55/unet/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/prs-eth/marigold-depth-v1-1/resolve/69afc5e7a400bb811e51a0c63d637b128be2ae55/unet/diffusion_pytorch_model.safetensors
3.46 GB
- Xet hash:
- d0f8a0d63c4fd07e1499ca58b089da3084fc40aea5941a2fa18056d5d0b315ff
- Size of remote file:
- 3.46 GB
- SHA256:
- ad9342d79bb5773bb3fae5e55cbe5aa7f9c9433ba30dc1ace18998d4fb5dd9a2
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