Update examples

.gitignore

@@ -158,3 +158,5 @@ cython_debug/
 #  and can be added to the global gitignore or merged into this file.  For a more nuclear
 #  option (not recommended) you can uncomment the following to ignore the entire idea folder.
 #.idea/
+
+*_ignored*

examples.py

@@ -1,4 +1,6 @@
 stage1_examples = [
+    ["""A realistic photo of a wooden table with an apple on the left and a pear on the right."""],
+    ["""A realistic photo of 4 TVs on a wall."""],
     ["""A realistic photo of a gray cat and an orange dog on the grass."""],
     ["""In an indoor scene, a blue cube directly above a red cube with a vase on the left of them."""],
     ["""A realistic photo of a wooden table without bananas in an indoor scene"""],
@@ -8,6 +10,12 @@ stage1_examples = [
 
 # Layout, seed
 stage2_examples = [
+    ["""Caption: A realistic photo of a wooden table with an apple on the left and a pear on the right.
+Objects: [('a wooden table', [30, 30, 452, 452]), ('an apple', [52, 223, 50, 60]), ('a pear', [400, 240, 50, 60])]
+Background prompt: A realistic photo""", "", 0],
+    ["""Caption: A realistic photo of 4 TVs on a wall.
+Objects: [('a TV', [12, 108, 120, 100]), ('a TV', [132, 112, 120, 100]), ('a TV', [252, 104, 120, 100]), ('a TV', [372, 106, 120, 100])]
+Background prompt: A realistic photo of a wall""", "", 0],
     ["""Caption: A realistic photo of a gray cat and an orange dog on the grass.
 Objects: [('a gray cat', [67, 243, 120, 126]), ('an orange dog', [265, 193, 190, 210])]
 Background prompt: A realistic photo of a grassy area.""", "", 0],

gradio_cached_examples/15/log.csv

@@ -29,8 +29,72 @@ Caption: 一个客厅场景的油画，墙上挂着电视，电视下面是一
 Objects: [('a tv', [88, 85, 335, 203]), ('a cabinet', [57, 308, 404, 201]), ('a flower vase', [166, 222, 92, 108])]
 Background prompt: An oil painting of a living room scene
 
+Caption: A realistic photo of a wooden table with an apple on the left and a pear on the right.
+Objects: ",,,2023-06-30 12:14:27.598309
+"You are an intelligent bounding box generator. I will provide you with a caption for a photo, image, or painting. Your task is to generate the bounding boxes for the objects mentioned in the caption, along with a background prompt describing the scene. The images are of size 512x512, and the bounding boxes should not overlap or go beyond the image boundaries. Each bounding box should be in the format of (object name, [top-left x coordinate, top-left y coordinate, box width, box height]) and include exactly one object. Make the boxes larger if possible. Do not put objects that are already provided in the bounding boxes into the background prompt. If needed, you can make reasonable guesses. Generate the object descriptions and background prompts in English even if the caption might not be in English. Do not include non-existing or excluded objects in the background prompt. Please refer to the example below for the desired format.
+
+Caption: A realistic image of landscape scene depicting a green car parking on the left of a blue truck, with a red air balloon and a bird in the sky
+Objects: [('a green car', [21, 181, 211, 159]), ('a blue truck', [269, 181, 209, 160]), ('a red air balloon', [66, 8, 145, 135]), ('a bird', [296, 42, 143, 100])]
+Background prompt: A realistic image of a landscape scene
+
+Caption: A watercolor painting of a wooden table in the living room with an apple on it
+Objects: [('a wooden table', [65, 243, 344, 206]), ('a apple', [206, 306, 81, 69])]
+Background prompt: A watercolor painting of a living room
+
+Caption: A watercolor painting of two pandas eating bamboo in a forest
+Objects: [('a panda eating bambooo', [30, 171, 212, 226]), ('a panda eating bambooo', [264, 173, 222, 221])]
+Background prompt: A watercolor painting of a forest
+
+Caption: A realistic image of four skiers standing in a line on the snow near a palm tree
+Objects: [('a skier', [5, 152, 139, 168]), ('a skier', [278, 192, 121, 158]), ('a skier', [148, 173, 124, 155]), ('a palm tree', [404, 180, 103, 180])]
+Background prompt: A realistic image of an outdoor scene with snow
+
+Caption: An oil painting of a pink dolphin jumping on the left of a steam boat on the sea
+Objects: [('a steam boat', [232, 225, 257, 149]), ('a jumping pink dolphin', [21, 249, 189, 123])]
+Background prompt: An oil painting of the sea
+
+Caption: A realistic image of a cat playing with a dog in a park with flowers
+Objects: [('a playful cat', [51, 67, 271, 324]), ('a playful dog', [302, 119, 211, 228])]
+Background prompt: A realistic image of a park with flowers
+
+Caption: 一个客厅场景的油画，墙上挂着电视，电视下面是一个柜子，柜子上有一个花瓶。
+Objects: [('a tv', [88, 85, 335, 203]), ('a cabinet', [57, 308, 404, 201]), ('a flower vase', [166, 222, 92, 108])]
+Background prompt: An oil painting of a living room scene
+
+Caption: A realistic photo of 4 TVs on a wall.
+Objects: ",,,2023-06-30 12:14:27.599507
+"You are an intelligent bounding box generator. I will provide you with a caption for a photo, image, or painting. Your task is to generate the bounding boxes for the objects mentioned in the caption, along with a background prompt describing the scene. The images are of size 512x512, and the bounding boxes should not overlap or go beyond the image boundaries. Each bounding box should be in the format of (object name, [top-left x coordinate, top-left y coordinate, box width, box height]) and include exactly one object. Make the boxes larger if possible. Do not put objects that are already provided in the bounding boxes into the background prompt. If needed, you can make reasonable guesses. Generate the object descriptions and background prompts in English even if the caption might not be in English. Do not include non-existing or excluded objects in the background prompt. Please refer to the example below for the desired format.
+
+Caption: A realistic image of landscape scene depicting a green car parking on the left of a blue truck, with a red air balloon and a bird in the sky
+Objects: [('a green car', [21, 181, 211, 159]), ('a blue truck', [269, 181, 209, 160]), ('a red air balloon', [66, 8, 145, 135]), ('a bird', [296, 42, 143, 100])]
+Background prompt: A realistic image of a landscape scene
+
+Caption: A watercolor painting of a wooden table in the living room with an apple on it
+Objects: [('a wooden table', [65, 243, 344, 206]), ('a apple', [206, 306, 81, 69])]
+Background prompt: A watercolor painting of a living room
+
+Caption: A watercolor painting of two pandas eating bamboo in a forest
+Objects: [('a panda eating bambooo', [30, 171, 212, 226]), ('a panda eating bambooo', [264, 173, 222, 221])]
+Background prompt: A watercolor painting of a forest
+
+Caption: A realistic image of four skiers standing in a line on the snow near a palm tree
+Objects: [('a skier', [5, 152, 139, 168]), ('a skier', [278, 192, 121, 158]), ('a skier', [148, 173, 124, 155]), ('a palm tree', [404, 180, 103, 180])]
+Background prompt: A realistic image of an outdoor scene with snow
+
+Caption: An oil painting of a pink dolphin jumping on the left of a steam boat on the sea
+Objects: [('a steam boat', [232, 225, 257, 149]), ('a jumping pink dolphin', [21, 249, 189, 123])]
+Background prompt: An oil painting of the sea
+
+Caption: A realistic image of a cat playing with a dog in a park with flowers
+Objects: [('a playful cat', [51, 67, 271, 324]), ('a playful dog', [302, 119, 211, 228])]
+Background prompt: A realistic image of a park with flowers
+
+Caption: 一个客厅场景的油画，墙上挂着电视，电视下面是一个柜子，柜子上有一个花瓶。
+Objects: [('a tv', [88, 85, 335, 203]), ('a cabinet', [57, 308, 404, 201]), ('a flower vase', [166, 222, 92, 108])]
+Background prompt: An oil painting of a living room scene
+
 Caption: A realistic photo of a gray cat and an orange dog on the grass.
-Objects: ",,,2023-06-29 11:10:05.644376
+Objects: ",,,2023-06-30 12:14:27.600342
 "You are an intelligent bounding box generator. I will provide you with a caption for a photo, image, or painting. Your task is to generate the bounding boxes for the objects mentioned in the caption, along with a background prompt describing the scene. The images are of size 512x512, and the bounding boxes should not overlap or go beyond the image boundaries. Each bounding box should be in the format of (object name, [top-left x coordinate, top-left y coordinate, box width, box height]) and include exactly one object. Make the boxes larger if possible. Do not put objects that are already provided in the bounding boxes into the background prompt. If needed, you can make reasonable guesses. Generate the object descriptions and background prompts in English even if the caption might not be in English. Do not include non-existing or excluded objects in the background prompt. Please refer to the example below for the desired format.
 
 Caption: A realistic image of landscape scene depicting a green car parking on the left of a blue truck, with a red air balloon and a bird in the sky
@@ -62,7 +126,7 @@ Objects: [('a tv', [88, 85, 335, 203]), ('a cabinet', [57, 308, 404, 201]), ('a
 Background prompt: An oil painting of a living room scene
 
 Caption: In an indoor scene, a blue cube directly above a red cube with a vase on the left of them.
-Objects: ",,,2023-06-29 11:10:05.644933
+Objects: ",,,2023-06-30 12:14:27.601305
 "You are an intelligent bounding box generator. I will provide you with a caption for a photo, image, or painting. Your task is to generate the bounding boxes for the objects mentioned in the caption, along with a background prompt describing the scene. The images are of size 512x512, and the bounding boxes should not overlap or go beyond the image boundaries. Each bounding box should be in the format of (object name, [top-left x coordinate, top-left y coordinate, box width, box height]) and include exactly one object. Make the boxes larger if possible. Do not put objects that are already provided in the bounding boxes into the background prompt. If needed, you can make reasonable guesses. Generate the object descriptions and background prompts in English even if the caption might not be in English. Do not include non-existing or excluded objects in the background prompt. Please refer to the example below for the desired format.
 
 Caption: A realistic image of landscape scene depicting a green car parking on the left of a blue truck, with a red air balloon and a bird in the sky
@@ -94,7 +158,7 @@ Objects: [('a tv', [88, 85, 335, 203]), ('a cabinet', [57, 308, 404, 201]), ('a
 Background prompt: An oil painting of a living room scene
 
 Caption: A realistic photo of a wooden table without bananas in an indoor scene
-Objects: ",,,2023-06-29 11:10:05.645428
+Objects: ",,,2023-06-30 12:14:27.602166
 "You are an intelligent bounding box generator. I will provide you with a caption for a photo, image, or painting. Your task is to generate the bounding boxes for the objects mentioned in the caption, along with a background prompt describing the scene. The images are of size 512x512, and the bounding boxes should not overlap or go beyond the image boundaries. Each bounding box should be in the format of (object name, [top-left x coordinate, top-left y coordinate, box width, box height]) and include exactly one object. Make the boxes larger if possible. Do not put objects that are already provided in the bounding boxes into the background prompt. If needed, you can make reasonable guesses. Generate the object descriptions and background prompts in English even if the caption might not be in English. Do not include non-existing or excluded objects in the background prompt. Please refer to the example below for the desired format.
 
 Caption: A realistic image of landscape scene depicting a green car parking on the left of a blue truck, with a red air balloon and a bird in the sky
@@ -126,7 +190,7 @@ Objects: [('a tv', [88, 85, 335, 203]), ('a cabinet', [57, 308, 404, 201]), ('a
 Background prompt: An oil painting of a living room scene
 
 Caption: A realistic photo of two cars on the road.
-Objects: ",,,2023-06-29 11:10:05.645947
+Objects: ",,,2023-06-30 12:14:27.603224
 "You are an intelligent bounding box generator. I will provide you with a caption for a photo, image, or painting. Your task is to generate the bounding boxes for the objects mentioned in the caption, along with a background prompt describing the scene. The images are of size 512x512, and the bounding boxes should not overlap or go beyond the image boundaries. Each bounding box should be in the format of (object name, [top-left x coordinate, top-left y coordinate, box width, box height]) and include exactly one object. Make the boxes larger if possible. Do not put objects that are already provided in the bounding boxes into the background prompt. If needed, you can make reasonable guesses. Generate the object descriptions and background prompts in English even if the caption might not be in English. Do not include non-existing or excluded objects in the background prompt. Please refer to the example below for the desired format.
 
 Caption: A realistic image of landscape scene depicting a green car parking on the left of a blue truck, with a red air balloon and a bird in the sky
@@ -158,4 +222,4 @@ Objects: [('a tv', [88, 85, 335, 203]), ('a cabinet', [57, 308, 404, 201]), ('a
 Background prompt: An oil painting of a living room scene
 
 Caption: 一个室内场景的水彩画，一个桌子上面放着一盘水果
-Objects: ",,,2023-06-29 11:10:05.646731
+Objects: ",,,2023-06-30 12:14:27.604219

gradio_cached_examples/40/Generated image/14997528-ca58-4fec-b717-ec65409c8bbd/captions.json

@@ -0,0 +1 @@
+{"./gradio_cached_examples/40/Generated image/14997528-ca58-4fec-b717-ec65409c8bbd/d3e4a16e890f2373ac2b45d18360e703431beae5/image.png": null}

gradio_cached_examples/40/Generated image/2780fc35-353f-42b3-b738-86e456fe6f56/captions.json

@@ -1 +0,0 @@
-{"./gradio_cached_examples/40/Generated image/2780fc35-353f-42b3-b738-86e456fe6f56/2e40cc791e626d4b53246213fbb411de998a0c48/image.png": null}

gradio_cached_examples/40/Generated image/3531e4d1-afb7-447b-a761-c547125d0c26/captions.json

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+{"./gradio_cached_examples/40/Generated image/3531e4d1-afb7-447b-a761-c547125d0c26/719c7a23bab2446c3f728051347d9267b3e14e72/image.png": null}

gradio_cached_examples/40/Generated image/3f8624a6-6551-4497-99d4-38632e921cf0/captions.json

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gradio_cached_examples/40/Generated image/51d5fa53-4685-44c2-9ed7-c0503f4c4f94/captions.json

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gradio_cached_examples/40/Generated image/5415c3f5-3b81-45b4-872e-bb161f678a71/captions.json

@@ -0,0 +1 @@
+{"./gradio_cached_examples/40/Generated image/5415c3f5-3b81-45b4-872e-bb161f678a71/8548706bbbf517ac1f28de2c546690cefec1b6ce/image.png": null}

gradio_cached_examples/40/Generated image/81f59ccb-1a36-42ae-9914-2552463399d2/captions.json

@@ -1 +0,0 @@
-{"./gradio_cached_examples/40/Generated image/81f59ccb-1a36-42ae-9914-2552463399d2/5da6114e92c338adc17812a0333df55a4234c9ed/image.png": null}

gradio_cached_examples/40/Generated image/83d517ed-1673-4ace-b093-97874557d991/captions.json

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+{"./gradio_cached_examples/40/Generated image/83d517ed-1673-4ace-b093-97874557d991/e1d23039c864bdfc2b434c3e9e4a5c59f6c81329/image.png": null}

gradio_cached_examples/40/Generated image/ccb2d58b-c9c4-466f-a20e-360535ae287a/captions.json

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-{"./gradio_cached_examples/40/Generated image/ccb2d58b-c9c4-466f-a20e-360535ae287a/d49483d8de74eb5fc4d6adfe89475c71d8e3036f/image.png": null}

gradio_cached_examples/40/Generated image/d4b3ae1d-15a1-467f-a859-cc3f05f8f347/captions.json

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+{"./gradio_cached_examples/40/Generated image/d4b3ae1d-15a1-467f-a859-cc3f05f8f347/7c1a61f5a1ae3dc7ce58dbf4ee5bc54a127f1d08/image.png": null}

gradio_cached_examples/40/Generated image/e4db9a87-7616-4e70-b7f0-90d12815524a/captions.json

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-{"./gradio_cached_examples/40/Generated image/e4db9a87-7616-4e70-b7f0-90d12815524a/b6ffdf54ecc5f212c05fea1d31937c56d9a46ed0/image.png": null}

gradio_cached_examples/40/Generated image/f613c4a4-afa5-4849-8d9b-6e1422dab503/captions.json

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-{"./gradio_cached_examples/40/Generated image/f613c4a4-afa5-4849-8d9b-6e1422dab503/a513ea281318c5da990ab8817d346efad4afb0ad/image.png": null}

gradio_cached_examples/40/log.csv

@@ -1,6 +1,8 @@
 Generated image,flag,username,timestamp
-./gradio_cached_examples/40/Generated image/2780fc35-353f-42b3-b738-86e456fe6f56,,,2023-06-29 11:10:11.840068
-./gradio_cached_examples/40/Generated image/f613c4a4-afa5-4849-8d9b-6e1422dab503,,,2023-06-29 11:10:16.511970
-./gradio_cached_examples/40/Generated image/e4db9a87-7616-4e70-b7f0-90d12815524a,,,2023-06-29 11:10:22.574699
-./gradio_cached_examples/40/Generated image/81f59ccb-1a36-42ae-9914-2552463399d2,,,2023-06-29 11:10:25.942870
-./gradio_cached_examples/40/Generated image/ccb2d58b-c9c4-466f-a20e-360535ae287a,,,2023-06-29 11:10:30.618947
+./gradio_cached_examples/40/Generated image/83d517ed-1673-4ace-b093-97874557d991,,,2023-06-30 12:14:36.356724
+./gradio_cached_examples/40/Generated image/3531e4d1-afb7-447b-a761-c547125d0c26,,,2023-06-30 12:14:44.701128
+./gradio_cached_examples/40/Generated image/3f8624a6-6551-4497-99d4-38632e921cf0,,,2023-06-30 12:14:50.024803
+./gradio_cached_examples/40/Generated image/51d5fa53-4685-44c2-9ed7-c0503f4c4f94,,,2023-06-30 12:14:55.125816
+./gradio_cached_examples/40/Generated image/14997528-ca58-4fec-b717-ec65409c8bbd,,,2023-06-30 12:15:02.275191
+./gradio_cached_examples/40/Generated image/5415c3f5-3b81-45b4-872e-bb161f678a71,,,2023-06-30 12:15:06.084060
+./gradio_cached_examples/40/Generated image/d4b3ae1d-15a1-467f-a859-cc3f05f8f347,,,2023-06-30 12:15:11.215434

gradio_cached_examples/50/Generated image/12d9118b-abed-45a7-9114-6f50b13dde08/captions.json

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-{"./gradio_cached_examples/50/Generated image/12d9118b-abed-45a7-9114-6f50b13dde08/574f77a943affe0685e630d003d40486d687548b/image.png": null}

gradio_cached_examples/50/Generated image/13403501-675a-4f2b-adfd-559c37f8b3a6/captions.json

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gradio_cached_examples/50/Generated image/23be0303-31db-4faf-8cab-ffd9e034848f/captions.json

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gradio_cached_examples/50/Generated image/34b88d8c-1d3d-4d8f-a52b-3af6f227e338/captions.json

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gradio_cached_examples/50/Generated image/3506257d-6ff8-48f7-9ca2-88a1fa88a7a4/captions.json

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-{"./gradio_cached_examples/50/Generated image/3506257d-6ff8-48f7-9ca2-88a1fa88a7a4/096597e5396f718c54fd1467ecbf8d64ed1c4b58/image.png": null}

gradio_cached_examples/50/Generated image/43359458-a163-4927-9a9b-31b18f7aa23a/captions.json

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gradio_cached_examples/50/Generated image/56da175a-0889-4cec-b945-b3c248b090fe/captions.json

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gradio_cached_examples/50/Generated image/5f67e14e-c421-4885-837b-c089dd8f885b/captions.json

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gradio_cached_examples/50/Generated image/7ce72b1f-5123-44fe-9eb8-723d43cdfbb3/captions.json

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-{"./gradio_cached_examples/50/Generated image/7ce72b1f-5123-44fe-9eb8-723d43cdfbb3/af91a254a7889ad4a7f59df784a89add68b8bb04/image.png": null}

gradio_cached_examples/50/Generated image/c9a1be01-ac11-43c2-bb8f-b7eb5e1ac1c3/captions.json

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-{"./gradio_cached_examples/50/Generated image/c9a1be01-ac11-43c2-bb8f-b7eb5e1ac1c3/9bcc5a4a5fa197042b7eb3ae9925bb6a1f3de0db/image.png": null}

gradio_cached_examples/50/Generated image/d49bc4fd-eb88-48cd-b777-468140ae3963/captions.json

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