Update README.md
Browse files
README.md
CHANGED
@@ -35,6 +35,14 @@ This repository contains the pre-trained weights and code to use the FELGUK Upsc
|
|
35 |
| **Training Data** | Trained on a diverse dataset of high-quality images. |
|
36 |
| **License** | MIT |
|
37 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
38 |
## Installation
|
39 |
|
40 |
To use the FELGUK Upscaler model, you need to install the `transformers` library from Hugging Face. You can do this using pip:
|
|
|
35 |
| **Training Data** | Trained on a diverse dataset of high-quality images. |
|
36 |
| **License** | MIT |
|
37 |
|
38 |
+
## Results
|
39 |
+
|
40 |
+
### Original Image
|
41 |
+
<img src="http://post-images.org/photo-page.php?photo=0wYasIUi" alt="Original Image">
|
42 |
+
|
43 |
+
### Resulting Image
|
44 |
+
<img src="http://post-images.org/photo-page.php?photo=piNJm97R" alt="Resulting Image">
|
45 |
+
|
46 |
## Installation
|
47 |
|
48 |
To use the FELGUK Upscaler model, you need to install the `transformers` library from Hugging Face. You can do this using pip:
|