Spaces:
Running
on
Zero
Running
on
Zero
Update leaderboard
Browse files- sorted_score_list.json +96 -96
- sorted_score_list_video.json +22 -22
sorted_score_list.json
CHANGED
@@ -1,216 +1,216 @@
|
|
1 |
{
|
2 |
"total_models": 30,
|
3 |
-
"total_votes":
|
4 |
-
"last_updated": "2024-08-
|
5 |
"sorted_score_list": [
|
6 |
{
|
7 |
"Rank": 1,
|
8 |
"\ud83e\udd16 Model": "Midjourney-v6.0",
|
9 |
-
"\u2b50 Score (\u03bc/\u03c3)": "
|
10 |
-
"\ud83d\uddf3\ufe0f Votes":
|
11 |
"\ud83c\udfdb\ufe0f Organization": "Midjourney"
|
12 |
},
|
13 |
{
|
14 |
"Rank": 2,
|
15 |
"\ud83e\udd16 Model": "FLUX.1-pro",
|
16 |
-
"\u2b50 Score (\u03bc/\u03c3)": "
|
17 |
-
"\ud83d\uddf3\ufe0f Votes":
|
18 |
"\ud83c\udfdb\ufe0f Organization": "Black Forest Labs"
|
19 |
},
|
20 |
{
|
21 |
"Rank": 3,
|
22 |
"\ud83e\udd16 Model": "FLUX.1-dev",
|
23 |
-
"\u2b50 Score (\u03bc/\u03c3)": "
|
24 |
-
"\ud83d\uddf3\ufe0f Votes":
|
25 |
"\ud83c\udfdb\ufe0f Organization": "Black Forest Labs"
|
26 |
},
|
27 |
{
|
28 |
"Rank": 4,
|
29 |
"\ud83e\udd16 Model": "Midjourney-v5.0",
|
30 |
-
"\u2b50 Score (\u03bc/\u03c3)": "
|
31 |
-
"\ud83d\uddf3\ufe0f Votes":
|
32 |
"\ud83c\udfdb\ufe0f Organization": "Midjourney"
|
33 |
},
|
34 |
{
|
35 |
"Rank": 5,
|
36 |
"\ud83e\udd16 Model": "FLUX.1-schnell",
|
37 |
-
"\u2b50 Score (\u03bc/\u03c3)": "
|
38 |
-
"\ud83d\uddf3\ufe0f Votes":
|
39 |
"\ud83c\udfdb\ufe0f Organization": "Black Forest Labs"
|
40 |
},
|
41 |
{
|
42 |
"Rank": 6,
|
43 |
"\ud83e\udd16 Model": "SD-v3.0",
|
44 |
-
"\u2b50 Score (\u03bc/\u03c3)": "29.
|
45 |
-
"\ud83d\uddf3\ufe0f Votes":
|
46 |
"\ud83c\udfdb\ufe0f Organization": "Stability AI"
|
47 |
},
|
48 |
{
|
49 |
"Rank": 7,
|
50 |
-
"\ud83e\udd16 Model": "Pixart-Sigma",
|
51 |
-
"\u2b50 Score (\u03bc/\u03c3)": "28.09 (30.43/0.782)",
|
52 |
-
"\ud83d\uddf3\ufe0f Votes": 465.0,
|
53 |
-
"\ud83c\udfdb\ufe0f Organization": "PixArt-Alpha"
|
54 |
-
},
|
55 |
-
{
|
56 |
-
"Rank": 8,
|
57 |
"\ud83e\udd16 Model": "Dalle-3",
|
58 |
-
"\u2b50 Score (\u03bc/\u03c3)": "
|
59 |
-
"\ud83d\uddf3\ufe0f Votes":
|
60 |
"\ud83c\udfdb\ufe0f Organization": "OpenAI"
|
61 |
},
|
62 |
{
|
63 |
-
"Rank":
|
64 |
-
"\ud83e\udd16 Model": "
|
65 |
-
"\u2b50 Score (\u03bc/\u03c3)": "
|
66 |
-
"\ud83d\uddf3\ufe0f Votes":
|
67 |
-
"\ud83c\udfdb\ufe0f Organization": "
|
68 |
},
|
69 |
{
|
70 |
-
"Rank":
|
71 |
"\ud83e\udd16 Model": "Realvisxl-v3.0",
|
72 |
-
"\u2b50 Score (\u03bc/\u03c3)": "25.
|
73 |
-
"\ud83d\uddf3\ufe0f Votes":
|
74 |
"\ud83c\udfdb\ufe0f Organization": "Realistic Vision"
|
75 |
},
|
76 |
{
|
77 |
-
"Rank":
|
78 |
-
"\ud83e\udd16 Model": "
|
79 |
-
"\u2b50 Score (\u03bc/\u03c3)": "25.
|
80 |
-
"\ud83d\uddf3\ufe0f Votes":
|
81 |
"\ud83c\udfdb\ufe0f Organization": "DataAutoGPT3"
|
82 |
},
|
83 |
{
|
84 |
-
"Rank":
|
85 |
"\ud83e\udd16 Model": "Dreamshaper-xl",
|
86 |
-
"\u2b50 Score (\u03bc/\u03c3)": "
|
87 |
-
"\ud83d\uddf3\ufe0f Votes":
|
88 |
"\ud83c\udfdb\ufe0f Organization": "Lykon"
|
89 |
},
|
90 |
{
|
91 |
-
"Rank":
|
92 |
"\ud83e\udd16 Model": "Kandinsky-v2.2",
|
93 |
-
"\u2b50 Score (\u03bc/\u03c3)": "
|
94 |
-
"\ud83d\uddf3\ufe0f Votes":
|
95 |
"\ud83c\udfdb\ufe0f Organization": "AI-Forever"
|
96 |
},
|
97 |
{
|
98 |
-
"Rank":
|
99 |
"\ud83e\udd16 Model": "Realvisxl-v2.0",
|
100 |
-
"\u2b50 Score (\u03bc/\u03c3)": "24.
|
101 |
-
"\ud83d\uddf3\ufe0f Votes":
|
102 |
"\ud83c\udfdb\ufe0f Organization": "Realistic Vision"
|
103 |
},
|
104 |
{
|
105 |
-
"Rank":
|
106 |
-
"\ud83e\udd16 Model": "
|
107 |
-
"\u2b50 Score (\u03bc/\u03c3)": "24.
|
108 |
-
"\ud83d\uddf3\ufe0f Votes":
|
109 |
-
"\ud83c\udfdb\ufe0f Organization": "
|
110 |
},
|
111 |
{
|
112 |
-
"Rank":
|
113 |
"\ud83e\udd16 Model": "Dalle-2",
|
114 |
-
"\u2b50 Score (\u03bc/\u03c3)": "
|
115 |
-
"\ud83d\uddf3\ufe0f Votes":
|
116 |
"\ud83c\udfdb\ufe0f Organization": "OpenAI"
|
117 |
},
|
118 |
{
|
119 |
-
"Rank":
|
120 |
-
"\ud83e\udd16 Model": "
|
121 |
-
"\u2b50 Score (\u03bc/\u03c3)": "22
|
122 |
-
"\ud83d\uddf3\ufe0f Votes":
|
123 |
-
"\ud83c\udfdb\ufe0f Organization": "
|
124 |
},
|
125 |
{
|
126 |
-
"Rank":
|
127 |
"\ud83e\udd16 Model": "Kandinsky-v2.0",
|
128 |
-
"\u2b50 Score (\u03bc/\u03c3)": "22.
|
129 |
-
"\ud83d\uddf3\ufe0f Votes":
|
130 |
"\ud83c\udfdb\ufe0f Organization": "AI-Forever"
|
131 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
132 |
{
|
133 |
"Rank": 19,
|
134 |
"\ud83e\udd16 Model": "Openjourney-v4",
|
135 |
-
"\u2b50 Score (\u03bc/\u03c3)": "21.
|
136 |
-
"\ud83d\uddf3\ufe0f Votes":
|
137 |
"\ud83c\udfdb\ufe0f Organization": "Prompthero"
|
138 |
},
|
139 |
{
|
140 |
"Rank": 20,
|
141 |
"\ud83e\udd16 Model": "SDXL-turbo",
|
142 |
-
"\u2b50 Score (\u03bc/\u03c3)": "21.
|
143 |
-
"\ud83d\uddf3\ufe0f Votes":
|
144 |
"\ud83c\udfdb\ufe0f Organization": "Stability AI"
|
145 |
},
|
146 |
{
|
147 |
"Rank": 21,
|
148 |
"\ud83e\udd16 Model": "LCM-v1.5",
|
149 |
-
"\u2b50 Score (\u03bc/\u03c3)": "
|
150 |
-
"\ud83d\uddf3\ufe0f Votes":
|
151 |
"\ud83c\udfdb\ufe0f Organization": "Tsinghua"
|
152 |
},
|
153 |
{
|
154 |
"Rank": 22,
|
155 |
-
"\ud83e\udd16 Model": "
|
156 |
-
"\u2b50 Score (\u03bc/\u03c3)": "19.
|
157 |
-
"\ud83d\uddf3\ufe0f Votes":
|
158 |
-
"\ud83c\udfdb\ufe0f Organization": "
|
159 |
},
|
160 |
{
|
161 |
"Rank": 23,
|
162 |
-
"\ud83e\udd16 Model": "
|
163 |
-
"\u2b50 Score (\u03bc/\u03c3)": "19.
|
164 |
-
"\ud83d\uddf3\ufe0f Votes":
|
165 |
"\ud83c\udfdb\ufe0f Organization": "Stability AI"
|
166 |
},
|
167 |
{
|
168 |
"Rank": 24,
|
169 |
-
"\ud83e\udd16 Model": "
|
170 |
-
"\u2b50 Score (\u03bc/\u03c3)": "19.
|
171 |
-
"\ud83d\uddf3\ufe0f Votes":
|
172 |
"\ud83c\udfdb\ufe0f Organization": "Stability AI"
|
173 |
},
|
174 |
{
|
175 |
"Rank": 25,
|
176 |
"\ud83e\udd16 Model": "SD-turbo",
|
177 |
-
"\u2b50 Score (\u03bc/\u03c3)": "18.
|
178 |
-
"\ud83d\uddf3\ufe0f Votes":
|
179 |
"\ud83c\udfdb\ufe0f Organization": "Stability AI"
|
180 |
},
|
181 |
{
|
182 |
"Rank": 26,
|
183 |
-
"\ud83e\udd16 Model": "
|
184 |
-
"\u2b50 Score (\u03bc/\u03c3)": "
|
185 |
-
"\ud83d\uddf3\ufe0f Votes":
|
186 |
-
"\ud83c\udfdb\ufe0f Organization": "
|
187 |
},
|
188 |
{
|
189 |
"Rank": 27,
|
190 |
-
"\ud83e\udd16 Model": "
|
191 |
-
"\u2b50 Score (\u03bc/\u03c3)": "17.39 (19.
|
192 |
-
"\ud83d\uddf3\ufe0f Votes":
|
193 |
-
"\ud83c\udfdb\ufe0f Organization": "
|
194 |
},
|
195 |
{
|
196 |
"Rank": 28,
|
197 |
-
"\ud83e\udd16 Model": "
|
198 |
-
"\u2b50 Score (\u03bc/\u03c3)": "
|
199 |
-
"\ud83d\uddf3\ufe0f Votes":
|
200 |
-
"\ud83c\udfdb\ufe0f Organization": "
|
201 |
},
|
202 |
{
|
203 |
"Rank": 29,
|
204 |
-
"\ud83e\udd16 Model": "
|
205 |
-
"\u2b50 Score (\u03bc/\u03c3)": "
|
206 |
-
"\ud83d\uddf3\ufe0f Votes":
|
207 |
-
"\ud83c\udfdb\ufe0f Organization": "
|
208 |
},
|
209 |
{
|
210 |
"Rank": 30,
|
211 |
"\ud83e\udd16 Model": "SDXL-Deepcache",
|
212 |
-
"\u2b50 Score (\u03bc/\u03c3)": "
|
213 |
-
"\ud83d\uddf3\ufe0f Votes":
|
214 |
"\ud83c\udfdb\ufe0f Organization": "NUS"
|
215 |
}
|
216 |
]
|
|
|
1 |
{
|
2 |
"total_models": 30,
|
3 |
+
"total_votes": 1388,
|
4 |
+
"last_updated": "2024-08-31",
|
5 |
"sorted_score_list": [
|
6 |
{
|
7 |
"Rank": 1,
|
8 |
"\ud83e\udd16 Model": "Midjourney-v6.0",
|
9 |
+
"\u2b50 Score (\u03bc/\u03c3)": "33.72 (36.08/0.788)",
|
10 |
+
"\ud83d\uddf3\ufe0f Votes": 665.0,
|
11 |
"\ud83c\udfdb\ufe0f Organization": "Midjourney"
|
12 |
},
|
13 |
{
|
14 |
"Rank": 2,
|
15 |
"\ud83e\udd16 Model": "FLUX.1-pro",
|
16 |
+
"\u2b50 Score (\u03bc/\u03c3)": "33.49 (35.89/0.799)",
|
17 |
+
"\ud83d\uddf3\ufe0f Votes": 534.0,
|
18 |
"\ud83c\udfdb\ufe0f Organization": "Black Forest Labs"
|
19 |
},
|
20 |
{
|
21 |
"Rank": 3,
|
22 |
"\ud83e\udd16 Model": "FLUX.1-dev",
|
23 |
+
"\u2b50 Score (\u03bc/\u03c3)": "32.42 (34.79/0.79)",
|
24 |
+
"\ud83d\uddf3\ufe0f Votes": 504.0,
|
25 |
"\ud83c\udfdb\ufe0f Organization": "Black Forest Labs"
|
26 |
},
|
27 |
{
|
28 |
"Rank": 4,
|
29 |
"\ud83e\udd16 Model": "Midjourney-v5.0",
|
30 |
+
"\u2b50 Score (\u03bc/\u03c3)": "29.62 (31.98/0.786)",
|
31 |
+
"\ud83d\uddf3\ufe0f Votes": 684.0,
|
32 |
"\ud83c\udfdb\ufe0f Organization": "Midjourney"
|
33 |
},
|
34 |
{
|
35 |
"Rank": 5,
|
36 |
"\ud83e\udd16 Model": "FLUX.1-schnell",
|
37 |
+
"\u2b50 Score (\u03bc/\u03c3)": "29.3 (31.67/0.79)",
|
38 |
+
"\ud83d\uddf3\ufe0f Votes": 516.0,
|
39 |
"\ud83c\udfdb\ufe0f Organization": "Black Forest Labs"
|
40 |
},
|
41 |
{
|
42 |
"Rank": 6,
|
43 |
"\ud83e\udd16 Model": "SD-v3.0",
|
44 |
+
"\u2b50 Score (\u03bc/\u03c3)": "29.01 (31.37/0.784)",
|
45 |
+
"\ud83d\uddf3\ufe0f Votes": 804.0,
|
46 |
"\ud83c\udfdb\ufe0f Organization": "Stability AI"
|
47 |
},
|
48 |
{
|
49 |
"Rank": 7,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
50 |
"\ud83e\udd16 Model": "Dalle-3",
|
51 |
+
"\u2b50 Score (\u03bc/\u03c3)": "28.87 (31.24/0.79)",
|
52 |
+
"\ud83d\uddf3\ufe0f Votes": 565.0,
|
53 |
"\ud83c\udfdb\ufe0f Organization": "OpenAI"
|
54 |
},
|
55 |
{
|
56 |
+
"Rank": 8,
|
57 |
+
"\ud83e\udd16 Model": "Pixart-Sigma",
|
58 |
+
"\u2b50 Score (\u03bc/\u03c3)": "27.77 (30.12/0.786)",
|
59 |
+
"\ud83d\uddf3\ufe0f Votes": 510.0,
|
60 |
+
"\ud83c\udfdb\ufe0f Organization": "PixArt-Alpha"
|
61 |
},
|
62 |
{
|
63 |
+
"Rank": 9,
|
64 |
"\ud83e\udd16 Model": "Realvisxl-v3.0",
|
65 |
+
"\u2b50 Score (\u03bc/\u03c3)": "25.87 (28.23/0.787)",
|
66 |
+
"\ud83d\uddf3\ufe0f Votes": 514.0,
|
67 |
"\ud83c\udfdb\ufe0f Organization": "Realistic Vision"
|
68 |
},
|
69 |
{
|
70 |
+
"Rank": 10,
|
71 |
+
"\ud83e\udd16 Model": "Proteus-v0.2",
|
72 |
+
"\u2b50 Score (\u03bc/\u03c3)": "25.66 (28.01/0.784)",
|
73 |
+
"\ud83d\uddf3\ufe0f Votes": 594.0,
|
74 |
"\ud83c\udfdb\ufe0f Organization": "DataAutoGPT3"
|
75 |
},
|
76 |
{
|
77 |
+
"Rank": 11,
|
78 |
"\ud83e\udd16 Model": "Dreamshaper-xl",
|
79 |
+
"\u2b50 Score (\u03bc/\u03c3)": "25.37 (27.71/0.781)",
|
80 |
+
"\ud83d\uddf3\ufe0f Votes": 620.0,
|
81 |
"\ud83c\udfdb\ufe0f Organization": "Lykon"
|
82 |
},
|
83 |
{
|
84 |
+
"Rank": 12,
|
85 |
"\ud83e\udd16 Model": "Kandinsky-v2.2",
|
86 |
+
"\u2b50 Score (\u03bc/\u03c3)": "25.16 (27.5/0.781)",
|
87 |
+
"\ud83d\uddf3\ufe0f Votes": 579.0,
|
88 |
"\ud83c\udfdb\ufe0f Organization": "AI-Forever"
|
89 |
},
|
90 |
{
|
91 |
+
"Rank": 13,
|
92 |
"\ud83e\udd16 Model": "Realvisxl-v2.0",
|
93 |
+
"\u2b50 Score (\u03bc/\u03c3)": "24.94 (27.3/0.786)",
|
94 |
+
"\ud83d\uddf3\ufe0f Votes": 505.0,
|
95 |
"\ud83c\udfdb\ufe0f Organization": "Realistic Vision"
|
96 |
},
|
97 |
{
|
98 |
+
"Rank": 14,
|
99 |
+
"\ud83e\udd16 Model": "Open-Dalle-v1.1",
|
100 |
+
"\u2b50 Score (\u03bc/\u03c3)": "24.88 (27.22/0.781)",
|
101 |
+
"\ud83d\uddf3\ufe0f Votes": 522.0,
|
102 |
+
"\ud83c\udfdb\ufe0f Organization": "DataAutoGPT3"
|
103 |
},
|
104 |
{
|
105 |
+
"Rank": 15,
|
106 |
"\ud83e\udd16 Model": "Dalle-2",
|
107 |
+
"\u2b50 Score (\u03bc/\u03c3)": "24.32 (26.67/0.784)",
|
108 |
+
"\ud83d\uddf3\ufe0f Votes": 564.0,
|
109 |
"\ud83c\udfdb\ufe0f Organization": "OpenAI"
|
110 |
},
|
111 |
{
|
112 |
+
"Rank": 16,
|
113 |
+
"\ud83e\udd16 Model": "Deepfloyd-IF",
|
114 |
+
"\u2b50 Score (\u03bc/\u03c3)": "23.22 (25.57/0.784)",
|
115 |
+
"\ud83d\uddf3\ufe0f Votes": 510.0,
|
116 |
+
"\ud83c\udfdb\ufe0f Organization": "DeepFloyd"
|
117 |
},
|
118 |
{
|
119 |
+
"Rank": 17,
|
120 |
"\ud83e\udd16 Model": "Kandinsky-v2.0",
|
121 |
+
"\u2b50 Score (\u03bc/\u03c3)": "22.89 (25.25/0.785)",
|
122 |
+
"\ud83d\uddf3\ufe0f Votes": 574.0,
|
123 |
"\ud83c\udfdb\ufe0f Organization": "AI-Forever"
|
124 |
},
|
125 |
+
{
|
126 |
+
"Rank": 18,
|
127 |
+
"\ud83e\udd16 Model": "Playground-v2.5",
|
128 |
+
"\u2b50 Score (\u03bc/\u03c3)": "21.99 (24.36/0.788)",
|
129 |
+
"\ud83d\uddf3\ufe0f Votes": 631.0,
|
130 |
+
"\ud83c\udfdb\ufe0f Organization": "Playground AI"
|
131 |
+
},
|
132 |
{
|
133 |
"Rank": 19,
|
134 |
"\ud83e\udd16 Model": "Openjourney-v4",
|
135 |
+
"\u2b50 Score (\u03bc/\u03c3)": "21.58 (23.93/0.783)",
|
136 |
+
"\ud83d\uddf3\ufe0f Votes": 516.0,
|
137 |
"\ud83c\udfdb\ufe0f Organization": "Prompthero"
|
138 |
},
|
139 |
{
|
140 |
"Rank": 20,
|
141 |
"\ud83e\udd16 Model": "SDXL-turbo",
|
142 |
+
"\u2b50 Score (\u03bc/\u03c3)": "21.15 (23.55/0.799)",
|
143 |
+
"\ud83d\uddf3\ufe0f Votes": 442.0,
|
144 |
"\ud83c\udfdb\ufe0f Organization": "Stability AI"
|
145 |
},
|
146 |
{
|
147 |
"Rank": 21,
|
148 |
"\ud83e\udd16 Model": "LCM-v1.5",
|
149 |
+
"\u2b50 Score (\u03bc/\u03c3)": "21.01 (23.37/0.789)",
|
150 |
+
"\ud83d\uddf3\ufe0f Votes": 516.0,
|
151 |
"\ud83c\udfdb\ufe0f Organization": "Tsinghua"
|
152 |
},
|
153 |
{
|
154 |
"Rank": 22,
|
155 |
+
"\ud83e\udd16 Model": "SD-v2.1",
|
156 |
+
"\u2b50 Score (\u03bc/\u03c3)": "19.97 (22.33/0.788)",
|
157 |
+
"\ud83d\uddf3\ufe0f Votes": 595.0,
|
158 |
+
"\ud83c\udfdb\ufe0f Organization": "Stability AI"
|
159 |
},
|
160 |
{
|
161 |
"Rank": 23,
|
162 |
+
"\ud83e\udd16 Model": "SDXL",
|
163 |
+
"\u2b50 Score (\u03bc/\u03c3)": "19.85 (22.2/0.784)",
|
164 |
+
"\ud83d\uddf3\ufe0f Votes": 618.0,
|
165 |
"\ud83c\udfdb\ufe0f Organization": "Stability AI"
|
166 |
},
|
167 |
{
|
168 |
"Rank": 24,
|
169 |
+
"\ud83e\udd16 Model": "SD-v1.5",
|
170 |
+
"\u2b50 Score (\u03bc/\u03c3)": "19.77 (22.15/0.792)",
|
171 |
+
"\ud83d\uddf3\ufe0f Votes": 575.0,
|
172 |
"\ud83c\udfdb\ufe0f Organization": "Stability AI"
|
173 |
},
|
174 |
{
|
175 |
"Rank": 25,
|
176 |
"\ud83e\udd16 Model": "SD-turbo",
|
177 |
+
"\u2b50 Score (\u03bc/\u03c3)": "18.65 (21.05/0.801)",
|
178 |
+
"\ud83d\uddf3\ufe0f Votes": 435.0,
|
179 |
"\ud83c\udfdb\ufe0f Organization": "Stability AI"
|
180 |
},
|
181 |
{
|
182 |
"Rank": 26,
|
183 |
+
"\ud83e\udd16 Model": "Playground-v2.0",
|
184 |
+
"\u2b50 Score (\u03bc/\u03c3)": "17.43 (19.78/0.784)",
|
185 |
+
"\ud83d\uddf3\ufe0f Votes": 590.0,
|
186 |
+
"\ud83c\udfdb\ufe0f Organization": "Playground AI"
|
187 |
},
|
188 |
{
|
189 |
"Rank": 27,
|
190 |
+
"\ud83e\udd16 Model": "SSD-1b",
|
191 |
+
"\u2b50 Score (\u03bc/\u03c3)": "17.39 (19.74/0.784)",
|
192 |
+
"\ud83d\uddf3\ufe0f Votes": 517.0,
|
193 |
+
"\ud83c\udfdb\ufe0f Organization": "Segmind"
|
194 |
},
|
195 |
{
|
196 |
"Rank": 28,
|
197 |
+
"\ud83e\udd16 Model": "Stable-cascade",
|
198 |
+
"\u2b50 Score (\u03bc/\u03c3)": "17.23 (19.64/0.801)",
|
199 |
+
"\ud83d\uddf3\ufe0f Votes": 429.0,
|
200 |
+
"\ud83c\udfdb\ufe0f Organization": "Stability AI"
|
201 |
},
|
202 |
{
|
203 |
"Rank": 29,
|
204 |
+
"\ud83e\udd16 Model": "SDXL-Lightning",
|
205 |
+
"\u2b50 Score (\u03bc/\u03c3)": "16.46 (18.84/0.795)",
|
206 |
+
"\ud83d\uddf3\ufe0f Votes": 536.0,
|
207 |
+
"\ud83c\udfdb\ufe0f Organization": "ByteDance"
|
208 |
},
|
209 |
{
|
210 |
"Rank": 30,
|
211 |
"\ud83e\udd16 Model": "SDXL-Deepcache",
|
212 |
+
"\u2b50 Score (\u03bc/\u03c3)": "11.74 (14.25/0.837)",
|
213 |
+
"\ud83d\uddf3\ufe0f Votes": 516.0,
|
214 |
"\ud83c\udfdb\ufe0f Organization": "NUS"
|
215 |
}
|
216 |
]
|
sorted_score_list_video.json
CHANGED
@@ -1,62 +1,62 @@
|
|
1 |
{
|
2 |
"total_models": 11,
|
3 |
-
"total_votes":
|
4 |
-
"last_updated": "2024-08-
|
5 |
"sorted_score_list": [
|
6 |
{
|
7 |
"Rank": 1,
|
8 |
"\ud83e\udd16 Model": "Sora (official samples)",
|
9 |
-
"\u2b50 Score (\u03bc/\u03c3)": "
|
10 |
-
"\ud83d\uddf3\ufe0f Votes":
|
11 |
"\ud83c\udfdb\ufe0f Organization": "OpenAI"
|
12 |
},
|
13 |
{
|
14 |
"Rank": 2,
|
15 |
"\ud83e\udd16 Model": "Runway-Gen3",
|
16 |
-
"\u2b50 Score (\u03bc/\u03c3)": "
|
17 |
-
"\ud83d\uddf3\ufe0f Votes":
|
18 |
"\ud83c\udfdb\ufe0f Organization": "Runway"
|
19 |
},
|
20 |
{
|
21 |
"Rank": 3,
|
22 |
"\ud83e\udd16 Model": "Runway-Gen2",
|
23 |
-
"\u2b50 Score (\u03bc/\u03c3)": "29.
|
24 |
-
"\ud83d\uddf3\ufe0f Votes":
|
25 |
"\ud83c\udfdb\ufe0f Organization": "Runway"
|
26 |
},
|
27 |
{
|
28 |
"Rank": 4,
|
29 |
"\ud83e\udd16 Model": "Pika-v1.0",
|
30 |
-
"\u2b50 Score (\u03bc/\u03c3)": "28.
|
31 |
-
"\ud83d\uddf3\ufe0f Votes":
|
32 |
"\ud83c\udfdb\ufe0f Organization": "Pika"
|
33 |
},
|
34 |
{
|
35 |
"Rank": 5,
|
36 |
"\ud83e\udd16 Model": "Pika-beta",
|
37 |
-
"\u2b50 Score (\u03bc/\u03c3)": "
|
38 |
-
"\ud83d\uddf3\ufe0f Votes":
|
39 |
"\ud83c\udfdb\ufe0f Organization": "Pika"
|
40 |
},
|
41 |
{
|
42 |
"Rank": 6,
|
43 |
-
"\ud83e\udd16 Model": "
|
44 |
-
"\u2b50 Score (\u03bc/\u03c3)": "26.
|
45 |
-
"\ud83d\uddf3\ufe0f Votes":
|
46 |
-
"\ud83c\udfdb\ufe0f Organization": "
|
47 |
},
|
48 |
{
|
49 |
"Rank": 7,
|
50 |
-
"\ud83e\udd16 Model": "
|
51 |
-
"\u2b50 Score (\u03bc/\u03c3)": "
|
52 |
-
"\ud83d\uddf3\ufe0f Votes":
|
53 |
-
"\ud83c\udfdb\ufe0f Organization": "
|
54 |
},
|
55 |
{
|
56 |
"Rank": 8,
|
57 |
"\ud83e\udd16 Model": "AnimateDiff",
|
58 |
-
"\u2b50 Score (\u03bc/\u03c3)": "
|
59 |
-
"\ud83d\uddf3\ufe0f Votes":
|
60 |
"\ud83c\udfdb\ufe0f Organization": "CUHK etc."
|
61 |
},
|
62 |
{
|
|
|
1 |
{
|
2 |
"total_models": 11,
|
3 |
+
"total_votes": 512,
|
4 |
+
"last_updated": "2024-08-31",
|
5 |
"sorted_score_list": [
|
6 |
{
|
7 |
"Rank": 1,
|
8 |
"\ud83e\udd16 Model": "Sora (official samples)",
|
9 |
+
"\u2b50 Score (\u03bc/\u03c3)": "35.01 (38.04/1.009)",
|
10 |
+
"\ud83d\uddf3\ufe0f Votes": 288.0,
|
11 |
"\ud83c\udfdb\ufe0f Organization": "OpenAI"
|
12 |
},
|
13 |
{
|
14 |
"Rank": 2,
|
15 |
"\ud83e\udd16 Model": "Runway-Gen3",
|
16 |
+
"\u2b50 Score (\u03bc/\u03c3)": "33.19 (35.8/0.869)",
|
17 |
+
"\ud83d\uddf3\ufe0f Votes": 290.0,
|
18 |
"\ud83c\udfdb\ufe0f Organization": "Runway"
|
19 |
},
|
20 |
{
|
21 |
"Rank": 3,
|
22 |
"\ud83e\udd16 Model": "Runway-Gen2",
|
23 |
+
"\u2b50 Score (\u03bc/\u03c3)": "29.83 (32.26/0.807)",
|
24 |
+
"\ud83d\uddf3\ufe0f Votes": 291.0,
|
25 |
"\ud83c\udfdb\ufe0f Organization": "Runway"
|
26 |
},
|
27 |
{
|
28 |
"Rank": 4,
|
29 |
"\ud83e\udd16 Model": "Pika-v1.0",
|
30 |
+
"\u2b50 Score (\u03bc/\u03c3)": "28.65 (31.08/0.811)",
|
31 |
+
"\ud83d\uddf3\ufe0f Votes": 290.0,
|
32 |
"\ud83c\udfdb\ufe0f Organization": "Pika"
|
33 |
},
|
34 |
{
|
35 |
"Rank": 5,
|
36 |
"\ud83e\udd16 Model": "Pika-beta",
|
37 |
+
"\u2b50 Score (\u03bc/\u03c3)": "26.95 (29.32/0.789)",
|
38 |
+
"\ud83d\uddf3\ufe0f Votes": 290.0,
|
39 |
"\ud83c\udfdb\ufe0f Organization": "Pika"
|
40 |
},
|
41 |
{
|
42 |
"Rank": 6,
|
43 |
+
"\ud83e\udd16 Model": "OpenSora",
|
44 |
+
"\u2b50 Score (\u03bc/\u03c3)": "26.16 (28.59/0.809)",
|
45 |
+
"\ud83d\uddf3\ufe0f Votes": 1096.0,
|
46 |
+
"\ud83c\udfdb\ufe0f Organization": "HPC-AI"
|
47 |
},
|
48 |
{
|
49 |
"Rank": 7,
|
50 |
+
"\ud83e\udd16 Model": "LaVie",
|
51 |
+
"\u2b50 Score (\u03bc/\u03c3)": "26.09 (28.49/0.802)",
|
52 |
+
"\ud83d\uddf3\ufe0f Votes": 1129.0,
|
53 |
+
"\ud83c\udfdb\ufe0f Organization": "Shanghai AI Lab"
|
54 |
},
|
55 |
{
|
56 |
"Rank": 8,
|
57 |
"\ud83e\udd16 Model": "AnimateDiff",
|
58 |
+
"\u2b50 Score (\u03bc/\u03c3)": "25.8 (28.22/0.806)",
|
59 |
+
"\ud83d\uddf3\ufe0f Votes": 843.0,
|
60 |
"\ud83c\udfdb\ufe0f Organization": "CUHK etc."
|
61 |
},
|
62 |
{
|