Spaces:
Running
on
T4
Running
on
T4
Tony Lian
commited on
Commit
•
25ff81e
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Parent(s):
2a53583
Add example caches
Browse files- gradio_cached_examples/14/log.csv +161 -0
- gradio_cached_examples/37/Generated image/2a52e23e-0f01-49ed-ad14-2013a907d46a/5bfcd12c591545c7eb38d8675608948b57813890/image.png +0 -0
- gradio_cached_examples/37/Generated image/2a52e23e-0f01-49ed-ad14-2013a907d46a/captions.json +1 -0
- gradio_cached_examples/37/Generated image/365c0a30-01a7-456d-90e2-0db9861d400f/298e05cc7b29916761eae5d8c549ebd8a9abc14e/image.png +0 -0
- gradio_cached_examples/37/Generated image/365c0a30-01a7-456d-90e2-0db9861d400f/captions.json +1 -0
- gradio_cached_examples/37/Generated image/3c50eff8-950e-45df-b001-67eff6adf17e/bbbcccd9a1784845351c7470dc409a041c45869c/image.png +0 -0
- gradio_cached_examples/37/Generated image/3c50eff8-950e-45df-b001-67eff6adf17e/captions.json +1 -0
- gradio_cached_examples/37/Generated image/c1cb09f3-b74a-41d4-8e8b-3f06aa4b4a59/8e16b1c0cfa4398722069b18606c624716ad2847/image.png +0 -0
- gradio_cached_examples/37/Generated image/c1cb09f3-b74a-41d4-8e8b-3f06aa4b4a59/captions.json +1 -0
- gradio_cached_examples/37/Generated image/c91c620c-5aea-444d-a3b4-ce10eb7d8096/56f0a33343fbb9e150cb0934b608d817148b978a/image.png +0 -0
- gradio_cached_examples/37/Generated image/c91c620c-5aea-444d-a3b4-ce10eb7d8096/captions.json +1 -0
- gradio_cached_examples/37/log.csv +6 -0
- gradio_cached_examples/49/Generated image/94f49dad-28e0-4a46-b451-7b58f47bffe1/5c0486001a1f02f907fa23894f6c74dfcd28bef1/image.png +0 -0
- gradio_cached_examples/49/Generated image/94f49dad-28e0-4a46-b451-7b58f47bffe1/captions.json +1 -0
- gradio_cached_examples/49/Generated image/9e75c543-0f51-4ed7-bc34-a80618c13c95/3a25deedf57bac4c518f26ace13b04b794d086d9/image.png +0 -0
- gradio_cached_examples/49/Generated image/9e75c543-0f51-4ed7-bc34-a80618c13c95/captions.json +1 -0
- gradio_cached_examples/49/Generated image/a74de25c-de7c-4395-b5e2-f3d80d2e529e/6c40796796748fc1d9d3d73c184baf9c457ef147/image.png +0 -0
- gradio_cached_examples/49/Generated image/a74de25c-de7c-4395-b5e2-f3d80d2e529e/captions.json +1 -0
- gradio_cached_examples/49/Generated image/d67589f2-e7e8-4a2d-be3c-3418f192e005/bca7d034cf794d0f7f2b113bad1749c758090183/image.png +0 -0
- gradio_cached_examples/49/Generated image/d67589f2-e7e8-4a2d-be3c-3418f192e005/captions.json +1 -0
- gradio_cached_examples/49/Generated image/ec9faa2f-c428-4c04-be72-c9bb7ea91773/4ba2288b3416336f5f0830d6e74b9ab304010275/image.png +0 -0
- gradio_cached_examples/49/Generated image/ec9faa2f-c428-4c04-be72-c9bb7ea91773/captions.json +1 -0
- gradio_cached_examples/49/log.csv +6 -0
gradio_cached_examples/14/log.csv
ADDED
@@ -0,0 +1,161 @@
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1 |
+
"Paste this into ChatGPT (GPT-4 preferred; on Mac, click text and press Command+A and Command+C to copy all)",flag,username,timestamp
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2 |
+
"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.
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4 |
+
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
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5 |
+
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])]
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6 |
+
Background prompt: A realistic image of a landscape scene
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7 |
+
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8 |
+
Caption: A watercolor painting of a wooden table in the living room with an apple on it
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9 |
+
Objects: [('a wooden table', [65, 243, 344, 206]), ('a apple', [206, 306, 81, 69])]
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10 |
+
Background prompt: A watercolor painting of a living room
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11 |
+
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12 |
+
Caption: A watercolor painting of two pandas eating bamboo in a forest
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13 |
+
Objects: [('a panda eating bambooo', [30, 171, 212, 226]), ('a panda eating bambooo', [264, 173, 222, 221])]
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14 |
+
Background prompt: A watercolor painting of a forest
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15 |
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16 |
+
Caption: A realistic image of four skiers standing in a line on the snow near a palm tree
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17 |
+
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])]
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18 |
+
Background prompt: A realistic image of an outdoor scene with snow
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19 |
+
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20 |
+
Caption: An oil painting of a pink dolphin jumping on the left of a steam boat on the sea
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21 |
+
Objects: [('a steam boat', [232, 225, 257, 149]), ('a jumping pink dolphin', [21, 249, 189, 123])]
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22 |
+
Background prompt: An oil painting of the sea
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23 |
+
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24 |
+
Caption: A realistic image of a cat playing with a dog in a park with flowers
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25 |
+
Objects: [('a playful cat', [51, 67, 271, 324]), ('a playful dog', [302, 119, 211, 228])]
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26 |
+
Background prompt: A realistic image of a park with flowers
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27 |
+
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28 |
+
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。
|
29 |
+
Objects: [('a tv', [88, 85, 335, 203]), ('a cabinet', [57, 308, 404, 201]), ('a flower vase', [166, 222, 92, 108])]
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30 |
+
Background prompt: An oil painting of a living room scene
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31 |
+
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32 |
+
Caption: A realistic photo of a gray cat and an orange dog on the grass.
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33 |
+
Objects: ",,,2023-06-13 20:35:31.473564
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34 |
+
"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.
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35 |
+
|
36 |
+
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
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37 |
+
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])]
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38 |
+
Background prompt: A realistic image of a landscape scene
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39 |
+
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40 |
+
Caption: A watercolor painting of a wooden table in the living room with an apple on it
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41 |
+
Objects: [('a wooden table', [65, 243, 344, 206]), ('a apple', [206, 306, 81, 69])]
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42 |
+
Background prompt: A watercolor painting of a living room
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43 |
+
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44 |
+
Caption: A watercolor painting of two pandas eating bamboo in a forest
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45 |
+
Objects: [('a panda eating bambooo', [30, 171, 212, 226]), ('a panda eating bambooo', [264, 173, 222, 221])]
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46 |
+
Background prompt: A watercolor painting of a forest
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47 |
+
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48 |
+
Caption: A realistic image of four skiers standing in a line on the snow near a palm tree
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49 |
+
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])]
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50 |
+
Background prompt: A realistic image of an outdoor scene with snow
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51 |
+
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52 |
+
Caption: An oil painting of a pink dolphin jumping on the left of a steam boat on the sea
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53 |
+
Objects: [('a steam boat', [232, 225, 257, 149]), ('a jumping pink dolphin', [21, 249, 189, 123])]
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54 |
+
Background prompt: An oil painting of the sea
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55 |
+
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56 |
+
Caption: A realistic image of a cat playing with a dog in a park with flowers
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57 |
+
Objects: [('a playful cat', [51, 67, 271, 324]), ('a playful dog', [302, 119, 211, 228])]
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58 |
+
Background prompt: A realistic image of a park with flowers
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59 |
+
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60 |
+
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。
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61 |
+
Objects: [('a tv', [88, 85, 335, 203]), ('a cabinet', [57, 308, 404, 201]), ('a flower vase', [166, 222, 92, 108])]
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62 |
+
Background prompt: An oil painting of a living room scene
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63 |
+
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64 |
+
Caption: In an indoor scene, a blue cube directly above a red cube with a vase on the left of them.
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65 |
+
Objects: ",,,2023-06-13 20:35:31.474147
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66 |
+
"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.
|
67 |
+
|
68 |
+
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
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69 |
+
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])]
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70 |
+
Background prompt: A realistic image of a landscape scene
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71 |
+
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72 |
+
Caption: A watercolor painting of a wooden table in the living room with an apple on it
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73 |
+
Objects: [('a wooden table', [65, 243, 344, 206]), ('a apple', [206, 306, 81, 69])]
|
74 |
+
Background prompt: A watercolor painting of a living room
|
75 |
+
|
76 |
+
Caption: A watercolor painting of two pandas eating bamboo in a forest
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77 |
+
Objects: [('a panda eating bambooo', [30, 171, 212, 226]), ('a panda eating bambooo', [264, 173, 222, 221])]
|
78 |
+
Background prompt: A watercolor painting of a forest
|
79 |
+
|
80 |
+
Caption: A realistic image of four skiers standing in a line on the snow near a palm tree
|
81 |
+
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])]
|
82 |
+
Background prompt: A realistic image of an outdoor scene with snow
|
83 |
+
|
84 |
+
Caption: An oil painting of a pink dolphin jumping on the left of a steam boat on the sea
|
85 |
+
Objects: [('a steam boat', [232, 225, 257, 149]), ('a jumping pink dolphin', [21, 249, 189, 123])]
|
86 |
+
Background prompt: An oil painting of the sea
|
87 |
+
|
88 |
+
Caption: A realistic image of a cat playing with a dog in a park with flowers
|
89 |
+
Objects: [('a playful cat', [51, 67, 271, 324]), ('a playful dog', [302, 119, 211, 228])]
|
90 |
+
Background prompt: A realistic image of a park with flowers
|
91 |
+
|
92 |
+
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。
|
93 |
+
Objects: [('a tv', [88, 85, 335, 203]), ('a cabinet', [57, 308, 404, 201]), ('a flower vase', [166, 222, 92, 108])]
|
94 |
+
Background prompt: An oil painting of a living room scene
|
95 |
+
|
96 |
+
Caption: A realistic photo of a wooden table without bananas in an indoor scene
|
97 |
+
Objects: ",,,2023-06-13 20:35:31.474590
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98 |
+
"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.
|
99 |
+
|
100 |
+
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
|
101 |
+
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])]
|
102 |
+
Background prompt: A realistic image of a landscape scene
|
103 |
+
|
104 |
+
Caption: A watercolor painting of a wooden table in the living room with an apple on it
|
105 |
+
Objects: [('a wooden table', [65, 243, 344, 206]), ('a apple', [206, 306, 81, 69])]
|
106 |
+
Background prompt: A watercolor painting of a living room
|
107 |
+
|
108 |
+
Caption: A watercolor painting of two pandas eating bamboo in a forest
|
109 |
+
Objects: [('a panda eating bambooo', [30, 171, 212, 226]), ('a panda eating bambooo', [264, 173, 222, 221])]
|
110 |
+
Background prompt: A watercolor painting of a forest
|
111 |
+
|
112 |
+
Caption: A realistic image of four skiers standing in a line on the snow near a palm tree
|
113 |
+
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])]
|
114 |
+
Background prompt: A realistic image of an outdoor scene with snow
|
115 |
+
|
116 |
+
Caption: An oil painting of a pink dolphin jumping on the left of a steam boat on the sea
|
117 |
+
Objects: [('a steam boat', [232, 225, 257, 149]), ('a jumping pink dolphin', [21, 249, 189, 123])]
|
118 |
+
Background prompt: An oil painting of the sea
|
119 |
+
|
120 |
+
Caption: A realistic image of a cat playing with a dog in a park with flowers
|
121 |
+
Objects: [('a playful cat', [51, 67, 271, 324]), ('a playful dog', [302, 119, 211, 228])]
|
122 |
+
Background prompt: A realistic image of a park with flowers
|
123 |
+
|
124 |
+
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。
|
125 |
+
Objects: [('a tv', [88, 85, 335, 203]), ('a cabinet', [57, 308, 404, 201]), ('a flower vase', [166, 222, 92, 108])]
|
126 |
+
Background prompt: An oil painting of a living room scene
|
127 |
+
|
128 |
+
Caption: A man in red is standing next to another woman in blue in the mountains.
|
129 |
+
Objects: ",,,2023-06-13 20:35:31.475074
|
130 |
+
"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.
|
131 |
+
|
132 |
+
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
|
133 |
+
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])]
|
134 |
+
Background prompt: A realistic image of a landscape scene
|
135 |
+
|
136 |
+
Caption: A watercolor painting of a wooden table in the living room with an apple on it
|
137 |
+
Objects: [('a wooden table', [65, 243, 344, 206]), ('a apple', [206, 306, 81, 69])]
|
138 |
+
Background prompt: A watercolor painting of a living room
|
139 |
+
|
140 |
+
Caption: A watercolor painting of two pandas eating bamboo in a forest
|
141 |
+
Objects: [('a panda eating bambooo', [30, 171, 212, 226]), ('a panda eating bambooo', [264, 173, 222, 221])]
|
142 |
+
Background prompt: A watercolor painting of a forest
|
143 |
+
|
144 |
+
Caption: A realistic image of four skiers standing in a line on the snow near a palm tree
|
145 |
+
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])]
|
146 |
+
Background prompt: A realistic image of an outdoor scene with snow
|
147 |
+
|
148 |
+
Caption: An oil painting of a pink dolphin jumping on the left of a steam boat on the sea
|
149 |
+
Objects: [('a steam boat', [232, 225, 257, 149]), ('a jumping pink dolphin', [21, 249, 189, 123])]
|
150 |
+
Background prompt: An oil painting of the sea
|
151 |
+
|
152 |
+
Caption: A realistic image of a cat playing with a dog in a park with flowers
|
153 |
+
Objects: [('a playful cat', [51, 67, 271, 324]), ('a playful dog', [302, 119, 211, 228])]
|
154 |
+
Background prompt: A realistic image of a park with flowers
|
155 |
+
|
156 |
+
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。
|
157 |
+
Objects: [('a tv', [88, 85, 335, 203]), ('a cabinet', [57, 308, 404, 201]), ('a flower vase', [166, 222, 92, 108])]
|
158 |
+
Background prompt: An oil painting of a living room scene
|
159 |
+
|
160 |
+
Caption: 一个室内场景的水彩画,一个桌子上面放着一盘水果
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161 |
+
Objects: ",,,2023-06-13 20:35:31.475563
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gradio_cached_examples/37/Generated image/2a52e23e-0f01-49ed-ad14-2013a907d46a/captions.json
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gradio_cached_examples/37/Generated image/365c0a30-01a7-456d-90e2-0db9861d400f/298e05cc7b29916761eae5d8c549ebd8a9abc14e/image.png
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gradio_cached_examples/37/Generated image/365c0a30-01a7-456d-90e2-0db9861d400f/captions.json
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gradio_cached_examples/37/Generated image/3c50eff8-950e-45df-b001-67eff6adf17e/bbbcccd9a1784845351c7470dc409a041c45869c/image.png
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gradio_cached_examples/37/Generated image/3c50eff8-950e-45df-b001-67eff6adf17e/captions.json
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gradio_cached_examples/37/Generated image/c1cb09f3-b74a-41d4-8e8b-3f06aa4b4a59/8e16b1c0cfa4398722069b18606c624716ad2847/image.png
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gradio_cached_examples/37/Generated image/c1cb09f3-b74a-41d4-8e8b-3f06aa4b4a59/captions.json
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gradio_cached_examples/37/Generated image/c91c620c-5aea-444d-a3b4-ce10eb7d8096/56f0a33343fbb9e150cb0934b608d817148b978a/image.png
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gradio_cached_examples/37/Generated image/c91c620c-5aea-444d-a3b4-ce10eb7d8096/captions.json
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gradio_cached_examples/37/log.csv
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/home/longlian/Projects/llm-grounded-diffusion-space/gradio_cached_examples/37/Generated image/365c0a30-01a7-456d-90e2-0db9861d400f,,,2023-06-13 20:35:38.002200
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/home/longlian/Projects/llm-grounded-diffusion-space/gradio_cached_examples/37/Generated image/c1cb09f3-b74a-41d4-8e8b-3f06aa4b4a59,,,2023-06-13 20:35:43.328015
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/home/longlian/Projects/llm-grounded-diffusion-space/gradio_cached_examples/37/Generated image/2a52e23e-0f01-49ed-ad14-2013a907d46a,,,2023-06-13 20:35:50.185410
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/home/longlian/Projects/llm-grounded-diffusion-space/gradio_cached_examples/37/Generated image/c91c620c-5aea-444d-a3b4-ce10eb7d8096,,,2023-06-13 20:35:53.536056
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/home/longlian/Projects/llm-grounded-diffusion-space/gradio_cached_examples/37/Generated image/3c50eff8-950e-45df-b001-67eff6adf17e,,,2023-06-13 20:35:58.617592
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gradio_cached_examples/49/Generated image/94f49dad-28e0-4a46-b451-7b58f47bffe1/5c0486001a1f02f907fa23894f6c74dfcd28bef1/image.png
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gradio_cached_examples/49/Generated image/94f49dad-28e0-4a46-b451-7b58f47bffe1/captions.json
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gradio_cached_examples/49/Generated image/9e75c543-0f51-4ed7-bc34-a80618c13c95/3a25deedf57bac4c518f26ace13b04b794d086d9/image.png
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gradio_cached_examples/49/Generated image/9e75c543-0f51-4ed7-bc34-a80618c13c95/captions.json
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{"/home/longlian/Projects/llm-grounded-diffusion-space/gradio_cached_examples/49/Generated image/9e75c543-0f51-4ed7-bc34-a80618c13c95/3a25deedf57bac4c518f26ace13b04b794d086d9/image.png": null}
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gradio_cached_examples/49/Generated image/a74de25c-de7c-4395-b5e2-f3d80d2e529e/6c40796796748fc1d9d3d73c184baf9c457ef147/image.png
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gradio_cached_examples/49/Generated image/a74de25c-de7c-4395-b5e2-f3d80d2e529e/captions.json
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{"/home/longlian/Projects/llm-grounded-diffusion-space/gradio_cached_examples/49/Generated image/a74de25c-de7c-4395-b5e2-f3d80d2e529e/6c40796796748fc1d9d3d73c184baf9c457ef147/image.png": null}
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gradio_cached_examples/49/Generated image/d67589f2-e7e8-4a2d-be3c-3418f192e005/bca7d034cf794d0f7f2b113bad1749c758090183/image.png
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gradio_cached_examples/49/Generated image/d67589f2-e7e8-4a2d-be3c-3418f192e005/captions.json
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{"/home/longlian/Projects/llm-grounded-diffusion-space/gradio_cached_examples/49/Generated image/d67589f2-e7e8-4a2d-be3c-3418f192e005/bca7d034cf794d0f7f2b113bad1749c758090183/image.png": null}
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gradio_cached_examples/49/Generated image/ec9faa2f-c428-4c04-be72-c9bb7ea91773/4ba2288b3416336f5f0830d6e74b9ab304010275/image.png
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gradio_cached_examples/49/Generated image/ec9faa2f-c428-4c04-be72-c9bb7ea91773/captions.json
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{"/home/longlian/Projects/llm-grounded-diffusion-space/gradio_cached_examples/49/Generated image/ec9faa2f-c428-4c04-be72-c9bb7ea91773/4ba2288b3416336f5f0830d6e74b9ab304010275/image.png": null}
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gradio_cached_examples/49/log.csv
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/home/longlian/Projects/llm-grounded-diffusion-space/gradio_cached_examples/49/Generated image/ec9faa2f-c428-4c04-be72-c9bb7ea91773,,,2023-06-13 20:35:59.970601
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/home/longlian/Projects/llm-grounded-diffusion-space/gradio_cached_examples/49/Generated image/9e75c543-0f51-4ed7-bc34-a80618c13c95,,,2023-06-13 20:36:01.344415
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/home/longlian/Projects/llm-grounded-diffusion-space/gradio_cached_examples/49/Generated image/a74de25c-de7c-4395-b5e2-f3d80d2e529e,,,2023-06-13 20:36:02.741091
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/home/longlian/Projects/llm-grounded-diffusion-space/gradio_cached_examples/49/Generated image/94f49dad-28e0-4a46-b451-7b58f47bffe1,,,2023-06-13 20:36:04.072746
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/home/longlian/Projects/llm-grounded-diffusion-space/gradio_cached_examples/49/Generated image/d67589f2-e7e8-4a2d-be3c-3418f192e005,,,2023-06-13 20:36:05.445782
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