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
soften wording (recommended, not mandatory)
Browse files
README.md
CHANGED
|
@@ -124,7 +124,7 @@ your training config (e.g. `models/heart_4x_pretrain.safetensors` for a 4x run).
|
|
| 124 |
visible bright band + tile grid, worse with GAN loss.
|
| 125 |
- Mild noise: `noise_range: [1,15]`, `noise_range2: [1,10]`.
|
| 126 |
- Batch 2 is fine on a 12 GB card at lq96.
|
| 127 |
-
- `--auto_resume` is
|
| 128 |
|
| 129 |
### As a user (want to upscale images)
|
| 130 |
|
|
|
|
| 124 |
visible bright band + tile grid, worse with GAN loss.
|
| 125 |
- Mild noise: `noise_range: [1,15]`, `noise_range2: [1,10]`.
|
| 126 |
- Batch 2 is fine on a 12 GB card at lq96.
|
| 127 |
+
- `--auto_resume` is recommended when running `train.py`.
|
| 128 |
|
| 129 |
### As a user (want to upscale images)
|
| 130 |
|