change default img_num to 2

app.py

@@ -13,7 +13,7 @@ from app_softedge import create_demo as create_demo_softedge
 from model import Model
 from settings import ALLOW_CHANGING_BASE_MODEL, DEFAULT_MODEL_ID, SHOW_DUPLICATE_BUTTON
 
-DESCRIPTION = "# ControlNet++: Improving Conditional Controls with Efficient Consistency Feedback<p>https://arxiv.org/abs/2404.07987</p>"
+DESCRIPTION = "# [ControlNet++: Improving Conditional Controls with Efficient Consistency Feedback](https://arxiv.org/abs/2404.07987)"
 
 if not torch.cuda.is_available():
     DESCRIPTION += "\n<p>Running on CPU 🥶 This demo does not work on CPU.</p>"

app_canny.py

@@ -46,7 +46,7 @@ def create_demo(process):
                         value="longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality",
                     )
             with gr.Column():
-                result = gr.Gallery(label="Output", show_label=False, columns=4, object_fit="scale-down")
+                result = gr.Gallery(label="Output", show_label=False, columns=2, object_fit="scale-down")
         inputs = [
             image,
             prompt,

app_depth.py

@@ -46,7 +46,7 @@ def create_demo(process):
                         value="longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality",
                     )
             with gr.Column():
-                result = gr.Gallery(label="Output", show_label=False, columns=4, object_fit="scale-down")
+                result = gr.Gallery(label="Output", show_label=False, columns=2, object_fit="scale-down")
         inputs = [
             image,
             prompt,

app_lineart.py

@@ -56,7 +56,7 @@ def create_demo(process):
                         value="longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality",
                     )
             with gr.Column():
-                result = gr.Gallery(label="Output", show_label=False, columns=4, object_fit="scale-down")
+                result = gr.Gallery(label="Output", show_label=False, columns=2, object_fit="scale-down")
         inputs = [
             image,
             prompt,

app_openpose.py

@@ -46,7 +46,7 @@ def create_demo(process):
                         value="longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality",
                     )
             with gr.Column():
-                result = gr.Gallery(label="Output", show_label=False, columns=4, object_fit="scale-down")
+                result = gr.Gallery(label="Output", show_label=False, columns=2, object_fit="scale-down")
         inputs = [
             image,
             prompt,

app_segmentation.py

@@ -46,7 +46,7 @@ def create_demo(process):
                         value="longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality",
                     )
             with gr.Column():
-                result = gr.Gallery(label="Output", show_label=False, columns=4, object_fit="scale-down")
+                result = gr.Gallery(label="Output", show_label=False, columns=2, object_fit="scale-down")
         inputs = [
             image,
             prompt,

app_softedge.py

@@ -55,7 +55,7 @@ def create_demo(process):
                         value="longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality",
                     )
             with gr.Column():
-                result = gr.Gallery(label="Output", show_label=False, columns=4, object_fit="scale-down")
+                result = gr.Gallery(label="Output", show_label=False, columns=2, object_fit="scale-down")
         inputs = [
             image,
             prompt,

settings.py

@@ -5,7 +5,7 @@ import numpy as np
 DEFAULT_MODEL_ID = os.getenv("DEFAULT_MODEL_ID", "runwayml/stable-diffusion-v1-5")
 
 MAX_NUM_IMAGES = int(os.getenv("MAX_NUM_IMAGES", "4"))
-DEFAULT_NUM_IMAGES = min(MAX_NUM_IMAGES, int(os.getenv("DEFAULT_NUM_IMAGES", "4")))
+DEFAULT_NUM_IMAGES = min(MAX_NUM_IMAGES, int(os.getenv("DEFAULT_NUM_IMAGES", "2")))
 MAX_IMAGE_RESOLUTION = int(os.getenv("MAX_IMAGE_RESOLUTION", "768"))
 DEFAULT_IMAGE_RESOLUTION = min(MAX_IMAGE_RESOLUTION, int(os.getenv("DEFAULT_IMAGE_RESOLUTION", "512")))