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
Add final OTF v2 + GAN lq96 models and slimmed dynamic ONNX
Browse files
README.md
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| `models/heart_2x_finetune.safetensors` | 2x finetune |
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| `models/heart_4x_otf_v2.safetensors` | 4x OTF fidelity (real-world, clean) |
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| `models/heart_4x_otf_gan.safetensors` | 4x OTF GAN (real-world, sharp) |
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## Contents
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| `models/heart_2x_finetune.safetensors` | 2x finetune |
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| `models/heart_4x_otf_v2.safetensors` | 4x OTF fidelity (real-world, clean) |
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| `models/heart_4x_otf_gan.safetensors` | 4x OTF GAN (real-world, sharp) |
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| `onnx/heart_4x_otf_v2_fp32_op17.onnx` | dynamic ONNX, onnxslim-optimized |
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| `onnx/heart_4x_otf_gan_fp32_op17.onnx` | dynamic ONNX, onnxslim-optimized |
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## Contents
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models/.gitignore
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models/heart_4x_otf_v2.safetensors
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