Image-to-Image
PyTorch
ONNX
TensorRT
English
super-resolution
image-restoration
sisr
real-world-restoration
spandrel
chainner
transformer
attention
Instructions to use Phips/HEART with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TensorRT
How to use Phips/HEART with TensorRT:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
enrich model-card metadata (library_name, tags, dataset)
Browse files
README.md
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license: apache-2.0
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language:
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- en
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tags:
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- super-resolution
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- image-restoration
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- pytorch
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- onnx
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- spandrel
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---
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# HEART
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license: apache-2.0
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language:
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- en
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library_name: pytorch
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pipeline_tag: image-to-image
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tags:
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- super-resolution
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- image-restoration
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- image-to-image
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- sisr
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- real-world-restoration
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- pytorch
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- onnx
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- tensorrt
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- spandrel
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- chainner
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- transformer
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- attention
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datasets:
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- Phips/lucid-cc0-v2-hc-512
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---
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# HEART
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