CoNFiLD-geo Checkpoints
Trained checkpoints for CoNFiLD-geo (Conditional Neural Field Latent Diffusion for Geoscience). The data is in the dataset repo zhaoffeng/CoNFiLD-geo.
The files keep the directory layout of the code repository. Download them into the repository root:
hf download zhaoffeng/CoNFiLD-geo --local-dir . --exclude README.md --exclude .gitattributes
Files
| Case | Conditional neural field (CNF) | Latent diffusion model |
|---|---|---|
| Cartesian | ConditionalNeuralField/output_Cartesian_simple/all3_small/ |
UnconditionalDiffusionTraining_and_Generation/output/logs_unet_experiment1/ema.pt |
| Norway | ConditionalNeuralField/output_Norway/all3/ |
UnconditionalDiffusionTraining_and_Generation/output/logs_norway_3D/ema.pt |
| Egg | ConditionalNeuralField/output_EggChannelized/all3/ |
UnconditionalDiffusionTraining_and_Generation/output/logs_Egg_model/ema.pt |
| Topography | ConditionalNeuralField/output_topography_unstructured/all3/ |
UnconditionalDiffusionTraining_and_Generation/output/logs_topography_unstructured/ema.pt |
- Each CNF directory contains
checkpoint.pt(network weights and the trained latents) andnormalizer_params.pt(normalization parameters for decoding). ema.ptis the EMA weights of the UNet diffusion model.ConditionalDiffusionGeneration/forward_model/checkpoint_ufno_sat.pthis the UFNO forward model (saturation) used in the Cartesian forward notebook.
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