CorrDiff Inference Package

This package provides the pre-trained CorrDiff checkpoints for Taiwan, as well as a small dataset sample to easily explore the inference capabilities. This checkpoint was trained on ERA5 → WRF data that spans 2018-2021 at one hour time resolution.

Getting started

Follow these steps to set up all needed to run the CorrDiff inference:

Clone the NVIDIA Modulus package, check out a specific hash, and install it:

git clone https://github.com/NVIDIA/modulus\ncd modulus\ngit checkout ee6b3ac0d4c32bca1c81f401d2bfd461887eb9a3\npip install .\n

Get this package using direct download or via wget:

wget --content-disposition https://api.ngc.nvidia.com/v2/models/nvidia/modulus/corrdiff_inference_package/versions/1/zip -O corrdiff_inference_package_1.zip\n

Unzip the contents in the same directory:

unzip corrdiff_inference_package_1.zip\nunzip corrdiff_inference_package.zip\n

Assuming you have both the Modulus and the unzipped CorrDiff inference packages in the <root_dir> directory, go to the directory that includes the CorrDiff inference script:

/modulus/examples/generative/corrdiff\n\">

cd <root_dir>/modulus/examples/generative/corrdiff\n

Run the inference:

/corrdiff_inference_package/dataset/2023-01-24-cwb-4years_5times.zarr res_ckpt_filename=/corrdiff_inference_package/checkpoints/diffusion.mdlus reg_ckpt_filename=/corrdiff_inference_package/checkpoints/regression.mdlus seed_batch_size=5 use_torch_compile=false\n\">

python generate.py dataset.data_path=<root_dir>/corrdiff_inference_package/dataset/2023-01-24-cwb-4years_5times.zarr res_ckpt_filename=<root_dir>/corrdiff_inference_package/checkpoints/diffusion.mdlus reg_ckpt_filename=<root_dir>/corrdiff_inference_package/checkpoints/regression.mdlus seed_batch_size=5 use_torch_compile=false\n

License

The checkpoints are distributed under the Apache 2.0 license, and the sample dataset is distributed under the CC BY-NC-ND 4.0 license.

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This checkpoint was trained on ERA5 → WRF data that spans 2018-2021 at one hour time resolution.\n\n### Getting started\n\nFollow these steps to set up all needed to run the CorrDiff inference:\n\n1. Clone the [NVIDIA Modulus](https://github.com/NVIDIA/modulus) package, check out a specific hash, and install it:\n\n```bash\ngit clone https://github.com/NVIDIA/modulus\ncd modulus\ngit checkout ee6b3ac0d4c32bca1c81f401d2bfd461887eb9a3\npip install .\n```\n\n2. Get this package using direct download or via `wget`:\n\n```bash\nwget --content-disposition https://api.ngc.nvidia.com/v2/models/nvidia/modulus/corrdiff_inference_package/versions/1/zip -O corrdiff_inference_package_1.zip\n```\n\n3. Unzip the contents in the same directory:\n\n```bash\nunzip corrdiff_inference_package_1.zip\nunzip corrdiff_inference_package.zip\n```\n\n4. Assuming you have both the Modulus and the unzipped CorrDiff inference packages in the `` directory, go to the directory that includes the CorrDiff inference script:\n\n```bash\ncd /modulus/examples/generative/corrdiff\n```\n\n5. Run the inference:\n\n```bash\npython generate.py dataset.data_path=/corrdiff_inference_package/dataset/2023-01-24-cwb-4years_5times.zarr res_ckpt_filename=/corrdiff_inference_package/checkpoints/diffusion.mdlus reg_ckpt_filename=/corrdiff_inference_package/checkpoints/regression.mdlus seed_batch_size=5 use_torch_compile=false\n```\n\n### License\n\nThe checkpoints are distributed under the [Apache 2.0 license](https://www.apache.org/licenses/LICENSE-2.0), and the sample dataset is distributed under the [CC BY-NC-ND 4.0 license](https://creativecommons.org/licenses/by-nc-nd/4.0/deed.en).","displayName","Modulus Checkpoints: CorrDiff",["D",1712788530289],"publisher","NVIDIA","latestVersion","versions","collectionCounts","imageUrl","/api/image/nvidia/modulus/models/corrdiff_inference_package","rawImageUrl","https://pbs.twimg.com/profile_images/1145524454170062848/U4lxVYEw_400x400.png","canGuestDownload","latestVersionSizeInBytes",717116287,"licenseTerms","isMultinodeEnabled","isMultiArchitecture","bias","","explainability","privacy","safetyAndSecurity","featureLabels",[],"displayLabels",[238,239,240,241,242,243],"policyLabels",[],"systemLabels",[],"products",[],"hasNimMetadata",{"_204":267,"_245":268,"_246":269,"_248":249},{"_204":264,"_245":265,"_246":266,"_248":249},{"_204":260,"_245":261,"_246":262,"_248":249},{"_204":256,"_245":257,"_246":258,"_248":249},{"_204":252,"_245":253,"_246":254,"_248":249},{"_204":244,"_245":244,"_246":247,"_248":249},"PyTorch","value","filter",{"_250":251,"_245":244},"category","label","field","framework","PhysicsNeMo","pltfm_modulus",{"_250":255,"_245":253},"platform","Physics and Dynamics Simulation","soln_physics_and_dynamics_simulation",{"_250":259,"_245":257},"technology","High Performance Computing","uscs_high_performance_computing",{"_250":263,"_245":261},"application","Forecasting","uscs_forecasting",{"_250":263,"_245":265},"AI","soln_ai",{"_250":259,"_245":268},{"_106":1246,"_108":1247},"ngcApps",[1199],"csaApiBaseUrl","https://www.nvidia.com/ai-agents/csa-agent/dcsm","datadogRum",{"_1180":1181,"_1182":1183,"_1184":1185,"_1186":1187,"_1188":281,"_137":307,"_1189":1190,"_1191":56,"_1192":85,"_1193":85,"_1194":1195,"_1196":85,"_1197":1198},"amplitude",{"_1177":1178,"_819":-7,"_1179":31},"disableJs","environment","prod","featureFlagsBlob","JTdCJTIydGVzdEZsYWclMjIlM0FmYWxzZSUyQyUyMnNob3dTZWFyY2hMYWJlbFNldEZpbHRlcnMlMjIlM0FmYWxzZSUyQyUyMmVuYWJsZUNzYVdpZGdldCUyMiUzQWZhbHNlJTJDJTIyZW5hYmxlUHJvZHVjdEdyb3VwaW5nQnlTdWJzY3JpcHRpb24lMjIlM0FmYWxzZSUyQyUyMmNvbnRhaW5lclNjYW5uaW5nUmVkZXNpZ25NMiUyMiUzQWZhbHNlJTdE","featureFlagsGuarded","isDevLikeEnv","isPlaywright","isMobileDevice","categorizedOrgs",{"_1171":1172,"_1173":1174,"_1175":1176},"currentOrgContext","currentContextRoles",[],"enterpriseOrgs",[],"manageableExternalUserGroups",[],"ngcApiOrigin","ngcHelmOrigin","origin","https://catalog.ngc.nvidia.com","usesMocks","theme","year",2026,"now",1788629489266,"1.15.0","defaultSearchSuggestions",{"_1059":223,"_1060":1061,"_1062":1063,"_1064":1065},"announcements",[],"consentState",{"_344":1049,"_1050":85,"_1051":31,"_1052":31,"_1053":1054},"consentConfig",{"_326":327,"_328":329,"_330":331,"_332":333,"_334":335,"_336":337,"_338":339,"_340":341,"_342":343,"_344":345},"showContactAdmin",1788629489268,[],[],[321,322,323,324,325],{"_45":59,"_47":69,"_49":101,"_51":-5,"_53":-5,"_55":56},{"_45":59,"_47":67,"_49":101,"_51":-5,"_53":-5,"_55":56},{"_45":59,"_47":60,"_49":101,"_51":-5,"_53":-5,"_55":56},{"_45":57,"_47":58,"_49":50,"_51":52,"_53":54,"_55":56},{"_45":46,"_47":48,"_49":101,"_51":-5,"_53":-5,"_55":56},"mainInfoText","We and our third-party partners (including social media, advertising, and analytics partners) use cookies and other tracking technologies to collect, store, monitor, and process certain information about you when you visit our website. 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