Depth Estimation
Diffusers
Safetensors
English
MarigoldDepthPipeline
depth estimation
image analysis
computer vision
in-the-wild
zero-shot
Instructions to use prs-eth/marigold-depth-v1-0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use prs-eth/marigold-depth-v1-0 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-v1-0", 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
- Xet hash:
- 1885dbd61321e3e652a889c042cfea42b65cd158e8694c5cb1b5668f90802755
- Size of remote file:
- 681 MB
- SHA256:
- bfc767ee894a2d26166aa7c22b7b297a1ff8e246493734490dd048087d4c9c07
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