Upload app.py

app.py

@@ -1,10 +1,11 @@
 import gradio as gr
 import cv2
+import numpy as np
 
 from annotator.util import resize_image, HWC3
 
 DESCRIPTION = '# ControlNet v1.1 Annotators (that runs on cpu only)'
-DESCRIPTION += '\n<p>This app generates Control Image for Mochi Diffusion&apos;s ControlNet.</p>'
+DESCRIPTION += '\n<p>This app generates Control Image for CoreML apps such as Mochi Diffusion.</p>'
 DESCRIPTION += '\n<p>HEIC image is not converted. Please use PNG or JPG image.</p>'
 
 
@@ -210,6 +211,17 @@ def color_shuffler(img, res):
     result = model_color_shuffler(img)
     return [result]
 
+model_inpaint = None
+
+
+def inpaint(image, invert):
+    color = HWC3(image["image"])
+    if(invert):
+        alpha = image["mask"][:, :, 0:1]
+    else:
+        alpha = 255 - image["mask"][:, :, 0:1]
+    result = np.concatenate([color, alpha], axis=2)
+    return [result]
 
 block = gr.Blocks().queue()
 with block:
@@ -342,6 +354,18 @@ with block:
             gallery = gr.Gallery(label="Generated images", show_label=False).style(height="auto")
     run_button.click(fn=lineart, inputs=[input_image, resolution, coarse, invert], outputs=[gallery])
 
+    gr.Markdown("<hr>")
+    with gr.Row():
+        gr.Markdown("## InPaint")
+    with gr.Row():
+        with gr.Column():
+            input_image = gr.Image(source='upload', type="numpy", tool="sketch", height=512)
+            invert = gr.Checkbox(label='Invert Mask', value=False)
+            run_button = gr.Button(label="Run")
+        with gr.Column():
+            gallery = gr.Gallery(label="Generated images", show_label=False).style(height="auto")
+    run_button.click(fn=inpaint, inputs=[input_image, invert], outputs=[gallery])
+
 #    with gr.Row():
 #        gr.Markdown("## Uniformer Segmentation")
 #    with gr.Row():