This PR significantly improves the model card for DiffFuSR by adding:
- A descriptive overview of the model based on the paper abstract.
- The `pipeline_tag: image-to-image` to correctly categorize the model for better discoverability and to enable the Hub's inference widget.
- The `library_name: diffusers`, indicating compatibility with the Hugging Face Diffusers library, given the model's reliance on diffusion models.
- A link to the academic paper: [DiffFuSR: Super-Resolution of all Sentinel-2 Multispectral Bands using Diffusion Models](https://huggingface.co/papers/2506.11764).
- A link to the official GitHub repository: [https://github.com/NorskRegnesentral/DiffFuSR](https://github.com/NorskRegnesentral/DiffFuSR).
- A "Sample Usage" section with Python and bash code snippets directly extracted from the GitHub README, demonstrating how to set up the environment, download pretrained models, and run a test.
- A BibTeX citation for the paper.
These additions will provide users with e…
Rename logs/blindsrsnf_aniso_worldstrat_degraded_harmfac_10000_large/version_7/hparams.yml to logs/blindsrsnf_aniso_worldstrat_degraded_harmfac_10000_large/version_7/hparams.yaml
