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
Add library name
Browse filesThis PR ensures people can easily use this model with the `diffusers` library, by adding `library_name: diffusers` as a tag.
README.md
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license: apache-2.0
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language:
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- en
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pipeline_tag: depth-estimation
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pinned: true
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tags:
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- depth estimation
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- image analysis
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- computer vision
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- in-the-wild
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- zero-shot
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---
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<h1 align="center">Marigold Depth v1-0 Model Card</h1>
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language:
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- en
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license: apache-2.0
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pipeline_tag: depth-estimation
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library_name: diffusers
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tags:
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- depth estimation
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- image analysis
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- computer vision
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- in-the-wild
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- zero-shot
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new_version: prs-eth/marigold-depth-v1-1
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pinned: true
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---
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<h1 align="center">Marigold Depth v1-0 Model Card</h1>
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