[Community Pipeline] Add Marigold Monocular Depth Estimation#6249
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sayakpaul merged 7 commits intohuggingface:mainfrom Dec 22, 2023
Merged
[Community Pipeline] Add Marigold Monocular Depth Estimation#6249sayakpaul merged 7 commits intohuggingface:mainfrom
sayakpaul merged 7 commits intohuggingface:mainfrom
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- add single-file pipeline - update README
sayakpaul
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Dec 21, 2023
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| pipe.to("cuda") | ||
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| image = Image.open("./input_image.jpg") |
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It's better to provide a direct link here and have it loaded like so:
from diffusers.utils import load_image
image = load_image(image_url)
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Thanks for the suggestion. I've updated the example code with a direct link in README (see the new commit).
sayakpaul
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Just one comment. Looks very good!
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The docs for this PR live here. All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update. |
sayakpaul
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Thank you! Will merge after the CI is green.
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…face#6249) * [Community Pipeline] Add Marigold Monocular Depth Estimation - add single-file pipeline - update README * fix format - add one blank line * format script with ruff * use direct image link in example code --------- Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
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…face#6249) * [Community Pipeline] Add Marigold Monocular Depth Estimation - add single-file pipeline - update README * fix format - add one blank line * format script with ruff * use direct image link in example code --------- Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
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What does this PR do?
This PR adds a community pipeline of Marigold, a universal monocular depth estimator derived from Stable Diffusion.
This pipeline can run on a single GPU and was tested on single RTX 3090/4090 and GTX 1080Ti.
Example code, project page, and full codebase are provided. The Colab notebook will be updated to use community pipeline once it is available.
In-the-wild inference result (1st row - input image; 2nd row - predicted depth map; 3rd row - unprojected point cloud):
Before submitting
This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).Was this discussed/approved via a GitHub issue or the forum? Please add a link to it if that's the case.documentation guidelines, and
here are tips on formatting docstrings.
Did you write any new necessary tests?Who can review?
@patrickvonplaten and @sayakpaul