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.fp16.safetensors from prs-eth/marigold-depth-v1-1: direct link, hf CLI and curl.
- Browser
- Download file 1.73 GB
-
https://huggingface.co/prs-eth/marigold-depth-v1-1/resolve/fe2dfe0f3b891692a6f1bb31a29430c9f4bb8e5e/unet/diffusion_pytorch_model.fp16.safetensors
- Command line
-
hf download hf://prs-eth/marigold-depth-v1-1@fe2dfe0f3b891692a6f1bb31a29430c9f4bb8e5e/unet/diffusion_pytorch_model.fp16.safetensors
-
curl -L -o diffusion_pytorch_model.fp16.safetensors https://huggingface.co/prs-eth/marigold-depth-v1-1/resolve/fe2dfe0f3b891692a6f1bb31a29430c9f4bb8e5e/unet/diffusion_pytorch_model.fp16.safetensors
1.73 GB
- Xet hash:
- 460277fd04a265c8c0e4004497b853bc76089cdc078132393bd2daf4d839801d
- Size of remote file:
- 1.73 GB
- SHA256:
- 890a2a9efc296e10c09a6ee7c1267a91dc72adb256ae6040bcf1a12c10521f4c
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