Spaces:
Running
on
Zero
Running
on
Zero
Update score
Browse files- model/model_manager.py +1 -1
- sorted_score_list.json +110 -110
- sorted_score_list_video.json +35 -35
model/model_manager.py
CHANGED
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@@ -65,7 +65,7 @@ class ModelManager:
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def generate_image_ig_parallel_anony(self, prompt, model_A, model_B, model_C, model_D):
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if model_A == "" and model_B == "" and model_C == "" and model_D == "":
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from .matchmaker import matchmaker
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-
not_run = [12,13,14,15,16,17,18,19,20,21,22, 25,26
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model_ids = matchmaker(num_players=len(self.model_ig_list), not_run=not_run)
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print(model_ids)
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model_names = [self.model_ig_list[i] for i in model_ids]
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def generate_image_ig_parallel_anony(self, prompt, model_A, model_B, model_C, model_D):
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if model_A == "" and model_B == "" and model_C == "" and model_D == "":
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from .matchmaker import matchmaker
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+
not_run = [] #12,13,14,15,16,17,18,19,20,21,22, 25,26 #23,24,
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model_ids = matchmaker(num_players=len(self.model_ig_list), not_run=not_run)
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print(model_ids)
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model_names = [self.model_ig_list[i] for i in model_ids]
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sorted_score_list.json
CHANGED
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@@ -1,217 +1,217 @@
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{
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"total_models": 30,
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"total_votes":
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"last_updated": "2024-08-
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"sorted_score_list": [
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{
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"Rank": 1,
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"\ud83e\udd16 Model": "Midjourney-v6.0",
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"\u2b50 Score (\u03bc/\u03c3)": "
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"\ud83d\uddf3\ufe0f Votes":
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"\ud83c\udfdb\ufe0f Organization": "Midjourney"
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},
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{
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"Rank": 2,
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-
"\ud83e\udd16 Model": "
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"\u2b50 Score (\u03bc/\u03c3)": "31.
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"\ud83d\uddf3\ufe0f Votes":
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"\ud83c\udfdb\ufe0f Organization": "
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},
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{
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"Rank": 3,
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-
"\ud83e\udd16 Model": "
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"\u2b50 Score (\u03bc/\u03c3)": "
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"\ud83d\uddf3\ufe0f Votes":
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"\ud83c\udfdb\ufe0f Organization": "
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},
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{
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"Rank": 4,
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"\ud83e\udd16 Model": "
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"\u2b50 Score (\u03bc/\u03c3)": "
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"\ud83d\uddf3\ufe0f Votes":
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"\ud83c\udfdb\ufe0f Organization": "
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},
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{
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"Rank": 5,
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"\ud83e\udd16 Model": "
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"\u2b50 Score (\u03bc/\u03c3)": "
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"\ud83d\uddf3\ufe0f Votes":
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"\ud83c\udfdb\ufe0f Organization": "
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},
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{
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"Rank": 6,
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"\ud83e\udd16 Model": "Pixart-Sigma",
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"\u2b50 Score (\u03bc/\u03c3)": "
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"\ud83d\uddf3\ufe0f Votes":
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"\ud83c\udfdb\ufe0f Organization": "PixArt-Alpha"
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},
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{
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-
"Rank":
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"\ud83e\udd16 Model": "Open-Dalle-v1.1",
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"\u2b50 Score (\u03bc/\u03c3)": "25.
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"\ud83d\uddf3\ufe0f Votes":
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"\ud83c\udfdb\ufe0f Organization": "DataAutoGPT3"
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},
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{
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-
"Rank":
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"\ud83e\udd16 Model": "Dreamshaper-xl",
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"\u2b50 Score (\u03bc/\u03c3)": "25.
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"\ud83d\uddf3\ufe0f Votes":
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"\ud83c\udfdb\ufe0f Organization": "Lykon"
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},
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{
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-
"Rank":
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"\ud83e\udd16 Model": "Deepfloyd-IF",
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"\u2b50 Score (\u03bc/\u03c3)": "25.
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"\ud83d\uddf3\ufe0f Votes":
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"\ud83c\udfdb\ufe0f Organization": "DeepFloyd"
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},
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{
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"Rank":
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"\ud83e\udd16 Model": "Realvisxl-v3.0",
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"\u2b50 Score (\u03bc/\u03c3)": "
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"\ud83d\uddf3\ufe0f Votes":
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"\ud83c\udfdb\ufe0f Organization": "Realistic Vision"
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},
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{
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"Rank":
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"\ud83e\udd16 Model": "Realvisxl-v2.0",
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"\u2b50 Score (\u03bc/\u03c3)": "24.75 (27.11/0.785)",
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"\ud83d\uddf3\ufe0f Votes": 436.0,
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"\ud83c\udfdb\ufe0f Organization": "Realistic Vision"
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},
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{
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"Rank":
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"\ud83e\udd16 Model": "Kandinsky-v2.2",
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"\u2b50 Score (\u03bc/\u03c3)": "24.
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"\ud83d\uddf3\ufe0f Votes":
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"\ud83c\udfdb\ufe0f Organization": "AI-Forever"
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},
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{
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"Rank":
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"\ud83e\udd16 Model": "Dalle-2",
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"\u2b50 Score (\u03bc/\u03c3)": "
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"\ud83d\uddf3\ufe0f Votes":
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"\ud83c\udfdb\ufe0f Organization": "OpenAI"
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},
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{
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"Rank":
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"\ud83e\udd16 Model": "Playground-v2.5",
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"\u2b50 Score (\u03bc/\u03c3)": "21.98 (24.36/0.795)",
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"\ud83d\uddf3\ufe0f Votes": 430.0,
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"\ud83c\udfdb\ufe0f Organization": "Playground AI"
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},
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{
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"Rank": 15,
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"\ud83e\udd16 Model": "Kandinsky-v2.0",
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"\u2b50 Score (\u03bc/\u03c3)": "
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"\ud83d\uddf3\ufe0f Votes":
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"\ud83c\udfdb\ufe0f Organization": "AI-Forever"
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},
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{
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"Rank":
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"\ud83e\udd16 Model": "SDXL-turbo",
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"\u2b50 Score (\u03bc/\u03c3)": "21.05 (23.42/0.79)",
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"\ud83d\uddf3\ufe0f Votes": 436.0,
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"\ud83c\udfdb\ufe0f Organization": "Stability AI"
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},
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{
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"Rank":
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"\ud83e\udd16 Model": "Playground-v2.0",
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"\u2b50 Score (\u03bc/\u03c3)": "20.
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"\ud83d\uddf3\ufe0f Votes":
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"\ud83c\udfdb\ufe0f Organization": "Playground AI"
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},
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{
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"Rank":
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"\ud83e\udd16 Model": "Openjourney-v4",
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"\u2b50 Score (\u03bc/\u03c3)": "20.
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"\ud83d\uddf3\ufe0f Votes":
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"\ud83c\udfdb\ufe0f Organization": "Prompthero"
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},
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{
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-
"Rank":
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"\ud83e\udd16 Model": "
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"\u2b50 Score (\u03bc/\u03c3)": "20.
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"\ud83d\uddf3\ufe0f Votes":
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"\ud83c\udfdb\ufe0f Organization": "Stability AI"
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},
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{
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"Rank":
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"\ud83e\udd16 Model": "LCM-v1.5",
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"\u2b50 Score (\u03bc/\u03c3)": "19.
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"\ud83d\uddf3\ufe0f Votes":
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"\ud83c\udfdb\ufe0f Organization": "Tsinghua"
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},
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{
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"Rank":
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"\ud83e\udd16 Model": "
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"\u2b50 Score (\u03bc/\u03c3)": "19.
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"\ud83d\uddf3\ufe0f Votes":
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"\ud83c\udfdb\ufe0f Organization": "Stability AI"
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},
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{
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"Rank":
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"\ud83e\udd16 Model": "SSD-1b",
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"\u2b50 Score (\u03bc/\u03c3)": "18.53 (20.91/0.794)",
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"\ud83d\uddf3\ufe0f Votes": 427.0,
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"\ud83c\udfdb\ufe0f Organization": "Segmind"
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},
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{
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"Rank": 23,
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"\ud83e\udd16 Model": "SD-v1.5",
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"\u2b50 Score (\u03bc/\u03c3)": "
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"\ud83d\uddf3\ufe0f Votes":
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"\ud83c\udfdb\ufe0f Organization": "Stability AI"
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},
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{
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"Rank":
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"\ud83e\udd16 Model": "SD-turbo",
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"\u2b50 Score (\u03bc/\u03c3)": "18.41 (20.8/0.794)",
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"\ud83d\uddf3\ufe0f Votes": 423.0,
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"\ud83c\udfdb\ufe0f Organization": "Stability AI"
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},
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{
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"Rank": 25,
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"\ud83e\udd16 Model": "Stable-cascade",
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"\u2b50 Score (\u03bc/\u03c3)": "15.27 (17.64/0.789)",
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"\ud83d\uddf3\ufe0f Votes": 426.0,
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"\ud83c\udfdb\ufe0f Organization": "Stability AI"
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},
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{
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"Rank": 26,
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"\ud83e\udd16 Model": "SDXL-Lightning",
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"\u2b50 Score (\u03bc/\u03c3)": "15.05 (17.43/0.794)",
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"\ud83d\uddf3\ufe0f Votes": 428.0,
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"\ud83c\udfdb\ufe0f Organization": "ByteDance"
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},
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{
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"Rank": 27,
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"\ud83e\udd16 Model": "
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"\u2b50 Score (\u03bc/\u03c3)": "
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"\ud83d\uddf3\ufe0f Votes":
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"\ud83c\udfdb\ufe0f Organization": "
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},
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{
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"Rank": 28,
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-
"\ud83e\udd16 Model": "
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-
"\u2b50 Score (\u03bc/\u03c3)": "
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"\ud83d\uddf3\ufe0f Votes":
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"\ud83c\udfdb\ufe0f Organization": "
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},
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{
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"Rank": 29,
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-
"\ud83e\udd16 Model": "
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-
"\u2b50 Score (\u03bc/\u03c3)": "
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"\ud83d\uddf3\ufe0f Votes":
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"\ud83c\udfdb\ufe0f Organization": "
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},
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{
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"Rank": 30,
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-
"\ud83e\udd16 Model": "
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-
"\u2b50 Score (\u03bc/\u03c3)": "
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"\ud83d\uddf3\ufe0f Votes":
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-
"\ud83c\udfdb\ufe0f Organization": "
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}
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]
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}
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{
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"total_models": 30,
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+
"total_votes": 1048,
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+
"last_updated": "2024-08-24",
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"sorted_score_list": [
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{
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"Rank": 1,
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"\ud83e\udd16 Model": "Midjourney-v6.0",
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+
"\u2b50 Score (\u03bc/\u03c3)": "31.59 (33.96/0.79)",
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+
"\ud83d\uddf3\ufe0f Votes": 446.0,
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"\ud83c\udfdb\ufe0f Organization": "Midjourney"
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},
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{
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"Rank": 2,
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+
"\ud83e\udd16 Model": "FLUX.1-pro",
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"\u2b50 Score (\u03bc/\u03c3)": "31.31 (33.95/0.88)",
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+
"\ud83d\uddf3\ufe0f Votes": 126.0,
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+
"\ud83c\udfdb\ufe0f Organization": "Black Forest Labs"
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},
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{
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"Rank": 3,
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+
"\ud83e\udd16 Model": "Midjourney-v5.0",
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"\u2b50 Score (\u03bc/\u03c3)": "31.15 (33.52/0.788)",
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+
"\ud83d\uddf3\ufe0f Votes": 456.0,
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+
"\ud83c\udfdb\ufe0f Organization": "Midjourney"
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},
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{
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"Rank": 4,
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+
"\ud83e\udd16 Model": "FLUX.1-dev",
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+
"\u2b50 Score (\u03bc/\u03c3)": "31.11 (33.68/0.859)",
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+
"\ud83d\uddf3\ufe0f Votes": 138.0,
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+
"\ud83c\udfdb\ufe0f Organization": "Black Forest Labs"
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},
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{
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"Rank": 5,
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+
"\ud83e\udd16 Model": "FLUX.1-schnell",
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+
"\u2b50 Score (\u03bc/\u03c3)": "29.59 (32.22/0.876)",
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| 38 |
+
"\ud83d\uddf3\ufe0f Votes": 138.0,
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+
"\ud83c\udfdb\ufe0f Organization": "Black Forest Labs"
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},
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{
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"Rank": 6,
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+
"\ud83e\udd16 Model": "SD-v3.0",
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+
"\u2b50 Score (\u03bc/\u03c3)": "29.49 (31.88/0.795)",
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+
"\ud83d\uddf3\ufe0f Votes": 546.0,
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+
"\ud83c\udfdb\ufe0f Organization": "Stability AI"
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+
},
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{
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+
"Rank": 7,
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+
"\ud83e\udd16 Model": "Dalle-3",
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+
"\u2b50 Score (\u03bc/\u03c3)": "27.94 (30.35/0.804)",
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+
"\ud83d\uddf3\ufe0f Votes": 466.0,
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"\ud83c\udfdb\ufe0f Organization": "OpenAI"
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},
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{
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"Rank": 8,
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"\ud83e\udd16 Model": "Pixart-Sigma",
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| 58 |
+
"\u2b50 Score (\u03bc/\u03c3)": "27.15 (29.5/0.784)",
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+
"\ud83d\uddf3\ufe0f Votes": 450.0,
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"\ud83c\udfdb\ufe0f Organization": "PixArt-Alpha"
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},
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{
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+
"Rank": 9,
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+
"\ud83e\udd16 Model": "Proteus-v0.2",
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"\u2b50 Score (\u03bc/\u03c3)": "25.88 (28.27/0.798)",
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+
"\ud83d\uddf3\ufe0f Votes": 462.0,
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"\ud83c\udfdb\ufe0f Organization": "DataAutoGPT3"
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},
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{
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"Rank": 10,
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"\ud83e\udd16 Model": "Open-Dalle-v1.1",
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+
"\u2b50 Score (\u03bc/\u03c3)": "25.6 (27.95/0.782)",
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+
"\ud83d\uddf3\ufe0f Votes": 435.0,
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"\ud83c\udfdb\ufe0f Organization": "DataAutoGPT3"
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},
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{
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+
"Rank": 11,
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"\ud83e\udd16 Model": "Dreamshaper-xl",
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+
"\u2b50 Score (\u03bc/\u03c3)": "25.28 (27.65/0.79)",
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+
"\ud83d\uddf3\ufe0f Votes": 473.0,
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"\ud83c\udfdb\ufe0f Organization": "Lykon"
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},
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{
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"Rank": 12,
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"\ud83e\udd16 Model": "Deepfloyd-IF",
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"\u2b50 Score (\u03bc/\u03c3)": "25.0 (27.37/0.791)",
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"\ud83d\uddf3\ufe0f Votes": 429.0,
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"\ud83c\udfdb\ufe0f Organization": "DeepFloyd"
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},
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{
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"Rank": 13,
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"\ud83e\udd16 Model": "Realvisxl-v3.0",
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+
"\u2b50 Score (\u03bc/\u03c3)": "25.0 (27.35/0.785)",
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+
"\ud83d\uddf3\ufe0f Votes": 427.0,
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"\ud83c\udfdb\ufe0f Organization": "Realistic Vision"
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},
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{
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+
"Rank": 14,
|
| 99 |
"\ud83e\udd16 Model": "Realvisxl-v2.0",
|
| 100 |
"\u2b50 Score (\u03bc/\u03c3)": "24.75 (27.11/0.785)",
|
| 101 |
"\ud83d\uddf3\ufe0f Votes": 436.0,
|
| 102 |
"\ud83c\udfdb\ufe0f Organization": "Realistic Vision"
|
| 103 |
},
|
| 104 |
{
|
| 105 |
+
"Rank": 15,
|
| 106 |
"\ud83e\udd16 Model": "Kandinsky-v2.2",
|
| 107 |
+
"\u2b50 Score (\u03bc/\u03c3)": "24.66 (27.03/0.792)",
|
| 108 |
+
"\ud83d\uddf3\ufe0f Votes": 447.0,
|
| 109 |
"\ud83c\udfdb\ufe0f Organization": "AI-Forever"
|
| 110 |
},
|
| 111 |
{
|
| 112 |
+
"Rank": 16,
|
| 113 |
"\ud83e\udd16 Model": "Dalle-2",
|
| 114 |
+
"\u2b50 Score (\u03bc/\u03c3)": "22.14 (24.51/0.793)",
|
| 115 |
+
"\ud83d\uddf3\ufe0f Votes": 450.0,
|
| 116 |
"\ud83c\udfdb\ufe0f Organization": "OpenAI"
|
| 117 |
},
|
| 118 |
{
|
| 119 |
+
"Rank": 17,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 120 |
"\ud83e\udd16 Model": "Kandinsky-v2.0",
|
| 121 |
+
"\u2b50 Score (\u03bc/\u03c3)": "22.08 (24.46/0.795)",
|
| 122 |
+
"\ud83d\uddf3\ufe0f Votes": 454.0,
|
| 123 |
"\ud83c\udfdb\ufe0f Organization": "AI-Forever"
|
| 124 |
},
|
| 125 |
{
|
| 126 |
+
"Rank": 18,
|
| 127 |
+
"\ud83e\udd16 Model": "Playground-v2.5",
|
| 128 |
+
"\u2b50 Score (\u03bc/\u03c3)": "22.05 (24.43/0.794)",
|
| 129 |
+
"\ud83d\uddf3\ufe0f Votes": 463.0,
|
| 130 |
+
"\ud83c\udfdb\ufe0f Organization": "Playground AI"
|
| 131 |
+
},
|
| 132 |
+
{
|
| 133 |
+
"Rank": 19,
|
| 134 |
"\ud83e\udd16 Model": "SDXL-turbo",
|
| 135 |
"\u2b50 Score (\u03bc/\u03c3)": "21.05 (23.42/0.79)",
|
| 136 |
"\ud83d\uddf3\ufe0f Votes": 436.0,
|
| 137 |
"\ud83c\udfdb\ufe0f Organization": "Stability AI"
|
| 138 |
},
|
| 139 |
{
|
| 140 |
+
"Rank": 20,
|
| 141 |
"\ud83e\udd16 Model": "Playground-v2.0",
|
| 142 |
+
"\u2b50 Score (\u03bc/\u03c3)": "20.88 (23.26/0.793)",
|
| 143 |
+
"\ud83d\uddf3\ufe0f Votes": 476.0,
|
| 144 |
"\ud83c\udfdb\ufe0f Organization": "Playground AI"
|
| 145 |
},
|
| 146 |
{
|
| 147 |
+
"Rank": 21,
|
| 148 |
"\ud83e\udd16 Model": "Openjourney-v4",
|
| 149 |
+
"\u2b50 Score (\u03bc/\u03c3)": "20.88 (23.26/0.795)",
|
| 150 |
+
"\ud83d\uddf3\ufe0f Votes": 435.0,
|
| 151 |
"\ud83c\udfdb\ufe0f Organization": "Prompthero"
|
| 152 |
},
|
| 153 |
{
|
| 154 |
+
"Rank": 22,
|
| 155 |
+
"\ud83e\udd16 Model": "SDXL",
|
| 156 |
+
"\u2b50 Score (\u03bc/\u03c3)": "20.14 (22.52/0.793)",
|
| 157 |
+
"\ud83d\uddf3\ufe0f Votes": 462.0,
|
| 158 |
"\ud83c\udfdb\ufe0f Organization": "Stability AI"
|
| 159 |
},
|
| 160 |
{
|
| 161 |
+
"Rank": 23,
|
| 162 |
"\ud83e\udd16 Model": "LCM-v1.5",
|
| 163 |
+
"\u2b50 Score (\u03bc/\u03c3)": "19.57 (21.97/0.801)",
|
| 164 |
+
"\ud83d\uddf3\ufe0f Votes": 435.0,
|
| 165 |
"\ud83c\udfdb\ufe0f Organization": "Tsinghua"
|
| 166 |
},
|
| 167 |
{
|
| 168 |
+
"Rank": 24,
|
| 169 |
+
"\ud83e\udd16 Model": "SD-v2.1",
|
| 170 |
+
"\u2b50 Score (\u03bc/\u03c3)": "19.52 (21.93/0.803)",
|
| 171 |
+
"\ud83d\uddf3\ufe0f Votes": 457.0,
|
| 172 |
"\ud83c\udfdb\ufe0f Organization": "Stability AI"
|
| 173 |
},
|
| 174 |
{
|
| 175 |
+
"Rank": 25,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 176 |
"\ud83e\udd16 Model": "SD-v1.5",
|
| 177 |
+
"\u2b50 Score (\u03bc/\u03c3)": "19.15 (21.57/0.806)",
|
| 178 |
+
"\ud83d\uddf3\ufe0f Votes": 470.0,
|
| 179 |
"\ud83c\udfdb\ufe0f Organization": "Stability AI"
|
| 180 |
},
|
| 181 |
{
|
| 182 |
+
"Rank": 26,
|
| 183 |
"\ud83e\udd16 Model": "SD-turbo",
|
| 184 |
"\u2b50 Score (\u03bc/\u03c3)": "18.41 (20.8/0.794)",
|
| 185 |
"\ud83d\uddf3\ufe0f Votes": 423.0,
|
| 186 |
"\ud83c\udfdb\ufe0f Organization": "Stability AI"
|
| 187 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 188 |
{
|
| 189 |
"Rank": 27,
|
| 190 |
+
"\ud83e\udd16 Model": "SSD-1b",
|
| 191 |
+
"\u2b50 Score (\u03bc/\u03c3)": "18.06 (20.46/0.8)",
|
| 192 |
+
"\ud83d\uddf3\ufe0f Votes": 436.0,
|
| 193 |
+
"\ud83c\udfdb\ufe0f Organization": "Segmind"
|
| 194 |
},
|
| 195 |
{
|
| 196 |
"Rank": 28,
|
| 197 |
+
"\ud83e\udd16 Model": "SDXL-Lightning",
|
| 198 |
+
"\u2b50 Score (\u03bc/\u03c3)": "15.7 (18.11/0.801)",
|
| 199 |
+
"\ud83d\uddf3\ufe0f Votes": 458.0,
|
| 200 |
+
"\ud83c\udfdb\ufe0f Organization": "ByteDance"
|
| 201 |
},
|
| 202 |
{
|
| 203 |
"Rank": 29,
|
| 204 |
+
"\ud83e\udd16 Model": "Stable-cascade",
|
| 205 |
+
"\u2b50 Score (\u03bc/\u03c3)": "15.27 (17.64/0.789)",
|
| 206 |
+
"\ud83d\uddf3\ufe0f Votes": 426.0,
|
| 207 |
+
"\ud83c\udfdb\ufe0f Organization": "Stability AI"
|
| 208 |
},
|
| 209 |
{
|
| 210 |
"Rank": 30,
|
| 211 |
+
"\ud83e\udd16 Model": "SDXL-Deepcache",
|
| 212 |
+
"\u2b50 Score (\u03bc/\u03c3)": "9.95 (12.49/0.846)",
|
| 213 |
+
"\ud83d\uddf3\ufe0f Votes": 444.0,
|
| 214 |
+
"\ud83c\udfdb\ufe0f Organization": "NUS"
|
| 215 |
}
|
| 216 |
]
|
| 217 |
}
|
sorted_score_list_video.json
CHANGED
|
@@ -1,82 +1,82 @@
|
|
| 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",
|
| 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": "Pika-v1.0",
|
| 23 |
-
"\u2b50 Score (\u03bc/\u03c3)": "29.
|
| 24 |
-
"\ud83d\uddf3\ufe0f Votes":
|
| 25 |
"\ud83c\udfdb\ufe0f Organization": "Pika"
|
| 26 |
},
|
| 27 |
{
|
| 28 |
"Rank": 4,
|
| 29 |
-
"\ud83e\udd16 Model": "
|
| 30 |
-
"\u2b50 Score (\u03bc/\u03c3)": "28.
|
| 31 |
-
"\ud83d\uddf3\ufe0f Votes":
|
| 32 |
-
"\ud83c\udfdb\ufe0f Organization": "
|
| 33 |
},
|
| 34 |
{
|
| 35 |
"Rank": 5,
|
| 36 |
-
"\ud83e\udd16 Model": "
|
| 37 |
-
"\u2b50 Score (\u03bc/\u03c3)": "
|
| 38 |
-
"\ud83d\uddf3\ufe0f Votes":
|
| 39 |
-
"\ud83c\udfdb\ufe0f Organization": "
|
| 40 |
},
|
| 41 |
{
|
| 42 |
"Rank": 6,
|
| 43 |
-
"\ud83e\udd16 Model": "
|
| 44 |
-
"\u2b50 Score (\u03bc/\u03c3)": "
|
| 45 |
-
"\ud83d\uddf3\ufe0f Votes":
|
| 46 |
-
"\ud83c\udfdb\ufe0f Organization": "
|
| 47 |
},
|
| 48 |
{
|
| 49 |
"Rank": 7,
|
| 50 |
-
"\ud83e\udd16 Model": "
|
| 51 |
-
"\u2b50 Score (\u03bc/\u03c3)": "25.
|
| 52 |
-
"\ud83d\uddf3\ufe0f Votes":
|
| 53 |
-
"\ud83c\udfdb\ufe0f Organization": "
|
| 54 |
},
|
| 55 |
{
|
| 56 |
"Rank": 8,
|
| 57 |
"\ud83e\udd16 Model": "VideoCrafter2",
|
| 58 |
-
"\u2b50 Score (\u03bc/\u03c3)": "
|
| 59 |
-
"\ud83d\uddf3\ufe0f Votes":
|
| 60 |
"\ud83c\udfdb\ufe0f Organization": "Tencent"
|
| 61 |
},
|
| 62 |
{
|
| 63 |
"Rank": 9,
|
| 64 |
-
"\ud83e\udd16 Model": "
|
| 65 |
-
"\u2b50 Score (\u03bc/\u03c3)": "21.
|
| 66 |
-
"\ud83d\uddf3\ufe0f Votes":
|
| 67 |
-
"\ud83c\udfdb\ufe0f Organization": "
|
| 68 |
},
|
| 69 |
{
|
| 70 |
"Rank": 10,
|
| 71 |
-
"\ud83e\udd16 Model": "
|
| 72 |
-
"\u2b50 Score (\u03bc/\u03c3)": "21.
|
| 73 |
-
"\ud83d\uddf3\ufe0f Votes":
|
| 74 |
-
"\ud83c\udfdb\ufe0f Organization": "
|
| 75 |
},
|
| 76 |
{
|
| 77 |
"Rank": 11,
|
| 78 |
"\ud83e\udd16 Model": "Zeroscope-v2-xl",
|
| 79 |
-
"\u2b50 Score (\u03bc/\u03c3)": "
|
| 80 |
"\ud83d\uddf3\ufe0f Votes": 348.0,
|
| 81 |
"\ud83c\udfdb\ufe0f Organization": "Cerspense"
|
| 82 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"total_models": 11,
|
| 3 |
+
"total_votes": 400,
|
| 4 |
+
"last_updated": "2024-08-24",
|
| 5 |
"sorted_score_list": [
|
| 6 |
{
|
| 7 |
"Rank": 1,
|
| 8 |
"\ud83e\udd16 Model": "Sora",
|
| 9 |
+
"\u2b50 Score (\u03bc/\u03c3)": "38.05 (41.43/1.124)",
|
| 10 |
+
"\ud83d\uddf3\ufe0f Votes": 177.0,
|
| 11 |
"\ud83c\udfdb\ufe0f Organization": "OpenAI"
|
| 12 |
},
|
| 13 |
{
|
| 14 |
"Rank": 2,
|
| 15 |
"\ud83e\udd16 Model": "Runway-Gen3",
|
| 16 |
+
"\u2b50 Score (\u03bc/\u03c3)": "34.83 (37.69/0.954)",
|
| 17 |
+
"\ud83d\uddf3\ufe0f Votes": 179.0,
|
| 18 |
"\ud83c\udfdb\ufe0f Organization": "Runway"
|
| 19 |
},
|
| 20 |
{
|
| 21 |
"Rank": 3,
|
| 22 |
"\ud83e\udd16 Model": "Pika-v1.0",
|
| 23 |
+
"\u2b50 Score (\u03bc/\u03c3)": "29.47 (32.08/0.871)",
|
| 24 |
+
"\ud83d\uddf3\ufe0f Votes": 179.0,
|
| 25 |
"\ud83c\udfdb\ufe0f Organization": "Pika"
|
| 26 |
},
|
| 27 |
{
|
| 28 |
"Rank": 4,
|
| 29 |
+
"\ud83e\udd16 Model": "Runway-Gen2",
|
| 30 |
+
"\u2b50 Score (\u03bc/\u03c3)": "28.66 (31.19/0.843)",
|
| 31 |
+
"\ud83d\uddf3\ufe0f Votes": 180.0,
|
| 32 |
+
"\ud83c\udfdb\ufe0f Organization": "Runway"
|
| 33 |
},
|
| 34 |
{
|
| 35 |
"Rank": 5,
|
| 36 |
+
"\ud83e\udd16 Model": "Pika-beta",
|
| 37 |
+
"\u2b50 Score (\u03bc/\u03c3)": "28.1 (30.67/0.857)",
|
| 38 |
+
"\ud83d\uddf3\ufe0f Votes": 176.0,
|
| 39 |
+
"\ud83c\udfdb\ufe0f Organization": "Pika"
|
| 40 |
},
|
| 41 |
{
|
| 42 |
"Rank": 6,
|
| 43 |
+
"\ud83e\udd16 Model": "LaVie",
|
| 44 |
+
"\u2b50 Score (\u03bc/\u03c3)": "26.47 (29.03/0.854)",
|
| 45 |
+
"\ud83d\uddf3\ufe0f Votes": 856.0,
|
| 46 |
+
"\ud83c\udfdb\ufe0f Organization": "Shanghai AI Lab"
|
| 47 |
},
|
| 48 |
{
|
| 49 |
"Rank": 7,
|
| 50 |
+
"\ud83e\udd16 Model": "OpenSora",
|
| 51 |
+
"\u2b50 Score (\u03bc/\u03c3)": "25.85 (28.39/0.849)",
|
| 52 |
+
"\ud83d\uddf3\ufe0f Votes": 871.0,
|
| 53 |
+
"\ud83c\udfdb\ufe0f Organization": "HPC-AI"
|
| 54 |
},
|
| 55 |
{
|
| 56 |
"Rank": 8,
|
| 57 |
"\ud83e\udd16 Model": "VideoCrafter2",
|
| 58 |
+
"\u2b50 Score (\u03bc/\u03c3)": "21.45 (24.06/0.868)",
|
| 59 |
+
"\ud83d\uddf3\ufe0f Votes": 747.0,
|
| 60 |
"\ud83c\udfdb\ufe0f Organization": "Tencent"
|
| 61 |
},
|
| 62 |
{
|
| 63 |
"Rank": 9,
|
| 64 |
+
"\ud83e\udd16 Model": "AnimateDiff",
|
| 65 |
+
"\u2b50 Score (\u03bc/\u03c3)": "21.42 (24.04/0.873)",
|
| 66 |
+
"\ud83d\uddf3\ufe0f Votes": 555.0,
|
| 67 |
+
"\ud83c\udfdb\ufe0f Organization": "CUHK etc."
|
| 68 |
},
|
| 69 |
{
|
| 70 |
"Rank": 10,
|
| 71 |
+
"\ud83e\udd16 Model": "StableVideoDiffusion",
|
| 72 |
+
"\u2b50 Score (\u03bc/\u03c3)": "21.25 (23.81/0.854)",
|
| 73 |
+
"\ud83d\uddf3\ufe0f Votes": 552.0,
|
| 74 |
+
"\ud83c\udfdb\ufe0f Organization": "Stability AI"
|
| 75 |
},
|
| 76 |
{
|
| 77 |
"Rank": 11,
|
| 78 |
"\ud83e\udd16 Model": "Zeroscope-v2-xl",
|
| 79 |
+
"\u2b50 Score (\u03bc/\u03c3)": "13.02 (15.71/0.895)",
|
| 80 |
"\ud83d\uddf3\ufe0f Votes": 348.0,
|
| 81 |
"\ud83c\udfdb\ufe0f Organization": "Cerspense"
|
| 82 |
}
|