:tada: first commit

README.md

@@ -1,13 +1,13 @@
 ---
-title: Real ESRGAN
-emoji: 👁
-colorFrom: blue
-colorTo: purple
+title: Face Real ESRGAN 2x 4x 8x
+emoji: 😻
+colorFrom: green
+colorTo: gray
 sdk: gradio
-sdk_version: 3.40.1
+sdk_version: 3.34.0
+python_version: 3.11.3
 app_file: app.py
-pinned: false
-license: openrail
+pinned: true
+license: apache-2.0
 ---
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces#reference

app.py

@@ -0,0 +1,46 @@
+import torch
+from PIL import Image
+from RealESRGAN import RealESRGAN
+import gradio as gr
+
+device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
+model2 = RealESRGAN(device, scale=2)
+model2.load_weights('weights/RealESRGAN_x2.pth', download=True)
+model4 = RealESRGAN(device, scale=4)
+model4.load_weights('weights/RealESRGAN_x4.pth', download=True)
+model8 = RealESRGAN(device, scale=8)
+model8.load_weights('weights/RealESRGAN_x8.pth', download=True)
+
+
+def inference(image, size):
+    if size == '2x':
+        result = model2.predict(image.convert('RGB'))
+    elif size == '4x':
+        result = model4.predict(image.convert('RGB'))
+    else:
+        result = model8.predict(image.convert('RGB'))
+    if torch.cuda.is_available():
+        torch.cuda.empty_cache()
+    return result
+
+
+title = "Face Real ESRGAN UpScale: 2x 4x 8x"
+description = "This is an unofficial demo for Real-ESRGAN. Scales the resolution of a photo. This model shows better results on faces compared to the original version.<br>Telegram BOT: https://t.me/restoration_photo_bot"
+article = "<div style='text-align: center;'>Twitter <a href='https://twitter.com/DoEvent' target='_blank'>Max Skobeev</a> | <a href='https://huggingface.co/sberbank-ai/Real-ESRGAN' target='_blank'>Model card</a>  <center><img src='https://visitor-badge.glitch.me/badge?page_id=max_skobeev_face_esrgan' alt='visitor badge'></center></div>"
+
+
+gr.Interface(inference,
+    [gr.Image(type="pil"), 
+    gr.Radio(['2x', '4x', '8x'], 
+    type="value",
+    value='2x',
+    label='Resolution model')], 
+    gr.Image(type="pil", label="Output"),
+    title=title,
+    description=description,
+    article=article,
+    examples=[['girl.jpeg', "2x"]],
+    allow_flagging='never',
+    cache_examples=False,
+    ).queue(concurrency_count=1, api_open=False).launch(show_api=False, show_error=True)
+    

requirements.txt

@@ -0,0 +1 @@
+git+https://github.com/sberbank-ai/Real-ESRGAN.git