Update with pre-cached examples since full RRDBNet models take such a long time to run

.gitattributes

@@ -32,3 +32,17 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+gradio_cached_examples/19/Upscaled[[:space:]]Image/tmp17i5yqbx.jpg filter=lfs diff=lfs merge=lfs -text
+gradio_cached_examples/19/Upscaled[[:space:]]Image/tmp3oot0xo9.jpg filter=lfs diff=lfs merge=lfs -text
+gradio_cached_examples/19/Upscaled[[:space:]]Image/tmp6pnxmkws.jpg filter=lfs diff=lfs merge=lfs -text
+gradio_cached_examples/19/Upscaled[[:space:]]Image/tmp7bvza6fx.jpg filter=lfs diff=lfs merge=lfs -text
+gradio_cached_examples/19/Upscaled[[:space:]]Image/tmp929e5kdm.jpg filter=lfs diff=lfs merge=lfs -text
+gradio_cached_examples/19/Upscaled[[:space:]]Image/tmpqrd3y6rd.jpg filter=lfs diff=lfs merge=lfs -text
+gradio_cached_examples/19/Upscaled[[:space:]]Image/tmprf_oaxoz.jpg filter=lfs diff=lfs merge=lfs -text
+output_bm36s4ggwx2k82x0.jpg filter=lfs diff=lfs merge=lfs -text
+output_evfrhtisk4vof9pi.jpg filter=lfs diff=lfs merge=lfs -text
+output_fhiqabqrjruwpvx7.jpg filter=lfs diff=lfs merge=lfs -text
+output_kyvgocfdnpxrj_dk.jpg filter=lfs diff=lfs merge=lfs -text
+output_qbcb0o1ecak3b369.jpg filter=lfs diff=lfs merge=lfs -text
+output_xt7il5ywmrjuk1lo.jpg filter=lfs diff=lfs merge=lfs -text
+output_xvvan4id_n6vszvm.jpg filter=lfs diff=lfs merge=lfs -text

app.py

@@ -68,7 +68,7 @@ def realesrgan(img, model_name, face_enhance):
         model_path=model_path,
         dni_weight=None,
         model=model,
-        tile=0,
+        tile=128,
         tile_pad=10,
         pre_pad=10,
         half=False,
@@ -101,7 +101,7 @@ def realesrgan(img, model_name, face_enhance):
     else:
         # Save restored image and return it to the output Image component
         if img_mode == 'RGBA':  # RGBA images should be saved in png format
-            extension = 'png'
+            extension = 'jpg'
         else:
             extension = 'jpg'
 
@@ -188,10 +188,10 @@ def main():
                 face_enhance = gr.Checkbox(label="Face Enhancement using GFPGAN (Doesn't work for anime images)",value=False, show_label=True)
 
         with gr.Group():
-                input_image = gr.Image(label="Source Image", type="pil", image_mode="RGBA")
+                input_image = gr.Image(label="Source Image", type="pil", image_mode="RGB")
                 input_image_properties = gr.Textbox(label="Image Properties - Demo will throw error if input image has either width or height > 1000. Output download is jpg for smaller size. Use models locally to circument these limits.", max_lines=1)
         with gr.Group():
-            output_image = gr.Image(label="Upscaled Image", type="pil", image_mode="RGBA", interactive=False)
+            output_image = gr.Image(label="Upscaled Image", type="pil", image_mode="RGB", interactive=False)
             output_image_properties = gr.Textbox(label="Image Properties", max_lines=1)
         with gr.Row():
             upscale_btn = gr.Button("Upscale")
@@ -209,7 +209,7 @@ def main():
     4xLSDIRCompactR3 - upscale a degraded photo 4x, fast (SRVGGNetCompact) (too strong, best used for interpolation like 4xLSDIRCompactN (or C) 75% 4xLSDIRCompactR3 25% to add little degradation handling to the previous one)  
 
     *RRDBNet models - in general more powerful than SRVGGNetCompact, but very slow in this demo*  
-    4xNomos8kSC - use for upscaling photos 4x   
+    4xNomos8kSC - use for upscaling photos 4x or can also be tried out on anime   
     4xHFA2k - use for upscaling anime images 4x   
     4xLSDIR - upscale a good quality photo (no degradation) 4x  
     4xLSDIRplusN - upscale a good quality photo (no degradation) 4x  

examples/.~lock.log.csv#

@@ -0,0 +1 @@
+,phips,phips-MS-7C02,20.05.2023 17:05,file:///home/phips/.config/libreoffice/4;

examples/log.csv

@@ -8,9 +8,13 @@ buddy.jpg,4xLSDIRCompactC3,true
 seeufer.jpg,4xNomos8kSC,
 seeufer.jpg,4xLSDIR,
 seeufer.jpg,4xLSDIRplusN,
+seeufer.jpg,4xLSDIRCompactN,
 bibli.png,4xLSDIR,
 bibli.png,4xLSDIRplusN,
+bibli.png,4xLSDIRplusC,
 palme.jpg,4xNomos8kSC,
 zimmer.jpg,4xNomos8kSC,
 text.png,2xParimgCompact,
-jujutsukaisen.png,4xHFA2k,
+text.png,4xNomos8kSC,
+jujutsukaisen.png,4xHFA2k,
+jujutsukaisen.png,4xNomos8kSC,

gfpgan/weights/detection_Resnet50_Final.pth

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gfpgan/weights/parsing_parsenet.pth

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gradio_cached_examples/19/log.csv

@@ -0,0 +1,20 @@
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